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What is the website that lets you see how any website looked like a certain amount of time ago?
There is a option on alexa called the waybackmachine that will let you see how websites looked in the past
Program that lets you take a pic of a website?
You can use the "print screen" key on your keyboard to "capture" what ever is showing on your monitor.Doing that copies that image to your computers clip board.Then you just go to Windows Paint, or...
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WHich website lets you see your house on the internet?
What is the website that lets you create your Na'vi from the movie Avatar?
You can make a poster of AVATAR FILM with your face in Funnywowhttp://www.funnywow.comtry it.
What website lets me control my network scanner?
The website I think you are referring to is the scanners actual IP address on the network. A typical network address would be something like 192.168.1.xx / 192.168.0.xx / 10.0.0.xx. You would need ...
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subset: commoncrawl


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Monday, July 23, 2012
I Spy
Today I guest-posted over at Kiki & Co for her Fun in the Sun series... lots of ideas for summer fun with the kids! Go and check out how Drew and I made our own personal I Spy book.
Kiki was my talented co-competitor in Project Run & Play. Have I mentioned that I loved loved being part of Project Run & Play? (Yeah, I know I have.) Mostly it was because of the people I met and "online friendships" I made.
I've been doing lots of sewing and not lots of blogging. Yep, sounds like me. These guest posts are at least keeping me on my toes!
3 comments:
This is brilliant! My daughter would totally love something like thisReplyDelete
- AnonymousJuly 23, 2012 at 1:21 PM
I made something like this for my kids last Christmas - http://jamesandleighann.blogspot.com/2011/12/i-spy-books-for-christmas.htmlReplyDelete
All I got to say is your kids are lucky because you are a way creative, fun mom.ReplyDelete
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Building societies: application of CT: conversion into plc
A building society may transfer the whole of its business to a public limited company under Section 97 of the Building Societies Act 1986. As the arrangements for conversion will vary, CT&VAT (Technical) will issue detailed advice whenever a society converts.
The main effects of conversion for the society are as follows:
- Investments which are loan relationships of the society and successor company will be taken into account under CTA2009/S307 (2) (formerly FA96/S85A). However, the provisions of CTA2009/Part 5 Chapter 4 and S444 and S445 (formerly FA96/SCH9/PARA11 or 12) may apply to any transfer of the loan relationships.
- Capital allowances are calculated as if no change of ownership had occurred.
- There is no charge to CT on any chargeable gains arising on the transfer of assets from the society to the successor company (see CG41010), and
- Compensation dividends, including the statutory distribution made under Section 100 (2) of the Building Societies Act 1986, or cash in lieu of a right to acquire shares in a society's successor company, are not regarded as distributions or as dividends on which tax is payable by the society and if paid by the society they are not allowable deductions for CT purposes.
Save as you earn schemes continue to be exempt from both IT and CGT after the conversion, as if there had been no change in the contracting parties.


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Stylish Liberty Hotel Wedding Featuring One Step Ahead 9/6/14
Eric is one lucky guy, Joanna made one truly stunning bride! Married at the Liberty Hotel, the couple was surrounded by friends and family (including their dog Buster), and picturesque Boston skylines. Not to be outdone by their gorgeous ceremony, Eric and Joanna hired One Step Ahead to ensure guests could celebrate in style all night long. Congratulations to this lovely couple!
Check out all of Channing Johnson's photos in the gallery below! This is the second time we've featured his work on the Wilson Stevens blog, and it is always breathtaking.
Featuring: Liberty Hotel, Boston, MA | Channing Johnson Photography, Melrose, MA | One Step Ahead band


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Hotels & Accommodation in Dundigal
Search for accommodation in Dundigal
Save more with Secret Prices
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Book hotel rooms & other accommodation in Dundigal
Where to stay in DundigalA welcoming city, Dundigal has a variety of hotels to choose from. You can shop as many as 800 deals for Dundigal accommodations on Hotels.com, some with discounts of up to 70%. We have room prices as low as 11 USD per night and below you'll find the number of hotels by star rating in Dundigal as well as in the surrounding area:
- • 21 5-star hotels from 62 USD per night
- • 61 4-star hotels from 33 USD per night
- • 179 3-star hotels from 20 USD per night
- • 4 2-star hotels from 20 USD per night
How to get to DundigalFly into Hyderabad (HYD-Rajiv Gandhi Intl.), 26.5 mi (42.7 km) from the heart of Dundigal.
When to visit DundigalWondering what time of year to travel or what should be on your packing list? Here are some seasonal norms to help you with your planning:
Seasonal temperature averages
- • January-March: 99°F day, 60°F night
- • April-June: 104°F day, 74°F night
- • July-September: 90°F day, 71°F night
- • October-December: 89°F day, 59°F night
- • January-March: 1.22 inches
- • April-June: 6.34 inches
- • July-September: 18.70 inches
- • October-December: 3.70 inches


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I know, if you are an expat and in Finland during Christmas time, it can get preeeeetty lonely. We Finns like to stick with our families, u know. You go to Facebook, no one's online. You go out, no one's there. It's lonely. I've heard there are some bars open in Helsinki and actually nowadays more and more people skip family Christmas because of broken family relations.
Like here in Berlin I have many Finnish friends who are not going home for Christmas. I'm one of them. I don't like Christmas - I don't understand why the whole family should pretend that it's nice to be together because rest of the year we're not having good flow.
Sources tell me that these bars are open Christmas evening:
Siltanen, Bar Loose, ... ok, rest of the bars I'm not even writing here because they are so horrible shitholes.
Actually I think that even my favorite bar, Om'Pu is open. And yes it is, and there's even Dj playing. Go to Om'Pu, it's always great fun there!


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Light Up Your Smile!
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- As Seen on TV


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Martin Keown is a big fan of striker Olivier Giroud.
Martin Keown believes Arsenal striker Olivier Giroud deserves far more credit than he's receiving at the Emirates Stadium, labelling him undervalued in his blog for the Daily Mail.
The France international has been among the goals this season, firing in 11 Premier League strikes in just 13 starts for the Gunners.
His record is comparable to the very best in England's top flight, but unlike fellow stars such as Diego Costa, Sergio Aguero and Harry Kane, little has been spoken of Giroud.
Perhaps being overshadowed by Alexis Sanchez hasn't helped, but Giroud's return to the first-team evidently coincides with the Gunners upturn in results, and Keown feels he is underrated.
"What will it take for Arsenal fans to really love Olivier Giroud? Yes, he is appreciated by the home faithful at the Emirates but not to the same degree as other top strikers," Keown explained.
"Sergio Aguero, Diego Costa and Harry Kane are worshipped at their clubs. But with similar goal-scoring exploits this season, Giroud doesn't get anywhere near the same level of affection from his fans or the rest of the football world.
"He is valued as a player but not unconditionally loved. He deserves much more credit."
|Shots per Goal
|Key Passes per game
|Aerial Duels Won per Game
|Mins Played
|Harry Kane
|Olivier Giroud
As per the table provided by Opta Stats, Tottenham Hotspur's Harry Kane may have scored more goals on average per encounter, but Giroud has contributed greatly in other areas.
The former Montpellier star is shown to be more clinical, needing fewer shots per goal, whereas he has created more chances via key passes and won his fair share of aerial duels.
However, such contributions are often lost on supporters and strikers are judged by their goals and ability to prove the difference between winning and losing football matches.
Giroud is undoubtedly a top marksman, but in comparison to the likes of Thierry Henry and Robin van Persie of years gone by, his style is rather unassuming and he often appears slow and cumbersome.
He will rarely, if ever, get fans excited in the same way Alexis Sanchez can, but in doing what he does best that shouldn't matter and the team's progression with his presence in the XI is ultimately what counts.


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Excerpt of clients we work with
audEERING's audio analysis technology can be experienced in various end-user products developed in cooperation with our clients. Our sensAI framework has been extended to custom speech, music, and sound processing and recognition solutions for consumer research, call center data analysis, in-car emotion recognition, acoustic scene classification, DJ apps, gaming, and many more.
Excerpt of excellence partners
audEERING maintains a strong link to academia and continuously advances the state-of-the-art in intelligent audio analysis by actively contributing to various research projects. Parts of audEERING's research on speech emotion recognition are funded by an ERC Proof-of-concept grant from the European Commission.
Excerpt of government-funded projects
audEERING is partner of various government-funded projects targeted to improve wellbeing for society.
VocEmoApI: Voice Emotion Detection by Appraisal Inference
In the VocEmoApI project, a first-of-its-kind software product prototype for voice emotion detection based on a fundamentally different approach is created: Focusing on vocal nonverbal behavior and sophisticated acoustic voice analysis, the detection will exploit the building blocks of emotional processes, namely a person's appraisal of relevant events and situations that trigger the action tendencies and expressions which constitute an emotional episode. Evidence for emotion-antecedent appraisals is continuously tracked in recordings of running speech. This also allows for tracking continuous changes in emotion intensity and quality as they occur in many real-life contexts (for example, in phone calls or political debates). Using Bayesian inference rules to combine expert knowledge, theoretical predictions, and empirical data, this approach allows to infer not only the usual basic emotion categories but also to make much finer distinctions such as subcategories of emotion families (e.g., anger, imitation, rage) as well as subtle emotions such as interest, pleasure, doubt, boredom, admiration, or fascination.
ECoWeB: Assessing and Enhancing Emotional Competence for Well-Being (ECoWeB) in the Young: A principled, evidence-based, mobile-health approach to prevent mental disorders and promote mental wellbeing
Although there are effective mental well-being promotion and mental disorder prevention interventions for young people, there is a need for more robust evidence on resilience factors, for more effective interventions, and for approaches that can be scalable and accessible at a population level. To tackle these challenges and move beyond the state-of-the-art, ECoWeB uniquely integrates three multidisciplinary approaches: (a) For the first time to our knowledge, we will systematically use an established theoretical model of normal emotional functioning (Emotional Competence Process) to guide the identification and targeting of mechanisms robustly implicated in well-being and psychopathology in young people; (b) A personalized medicine approach: systematic assessment of personal Emotional Competence (EC) profiles is used to select targeted interventions to promote well-being: (c) Mobile application delivery to target scalability, accessibility and acceptability in young people. Our aim is to improve mental health promotion by developing, evaluating, and disseminating a comprehensive mobile app to assess deficits in three major components of EC (production, regulation, knowledge) and to selectively augment pertinent EC abilities in adolescents and young adults. It is hypothesized that the targeted interventions, based on state-of-the-art assessment, will efficiently increase resilience toward adversity, promote mental well-being, and act as primary prevention for mental disorders. The EC intervention will be tested in cohort multiple randomized trials with young people from many European countries against a usual care control and an established, non-personalized socio-emotional learning digital intervention. Building directly from a fundamental understanding of emotion in combination with a personalized approach and leading edge digital technology is a novel and innovative approach, with potential to deliver a breakthrough in effective prevention of mental disorder.
TAPAS: Training Network on Automatic Processing of PAthological Speech
There are an increasing number of people across Europe with debilitating speech pathologies (e.g., due to stroke, Parkinson's, etc). These groups face communication problems that can lead to social exclusion. They are now being further marginalised by a new wave of speech technology that is increasingly woven into everyday life but which is not robust to atypical speech. TAPAS is proposing a programme of pathological speech research, that aims to transform the well-being of these people. The TAPAS work programme targets three key research problems:
(a) Detection: We will develop speech processing techniques for early detection of conditions that impact on speech production. The outcomes will be cheap and non-invasive diagnostic tools that provide early warning of the onset of progressive conditions such as Alzheimer's and Parkinson's.
(b) Therapy: We will use newly-emerging speech processing techniques to produce automated speech therapy tools. These tools will make therapy more accessible and more individually targeted. Better therapy can increase the chances of recovering intelligible speech after traumatic events such a stroke or oral surgery.
(c) Assisted Living: We will re-design current speech technology so that it works well for people with speech impairments and also helps in making informed clinical choices. People with speech impairments often have other co-occurring conditions making them reliant on carers. Speech-driven tools for assisted-living are a way to allow such people to live more independently.
OPTAPEB: Optimierung der Psychotherapie durch Agentengeleitete Patientenzentrierte Emotionsbewältigung
OPTAPEB aims to develop an immersive and interactive virtual reality system that assists users in curing phobia. The system will allow to experience situations of phobia and protocol this emotional experience and the user's behaviour. Various levels of emotional reactions will be monitored continuously and in real time by the system that applies sensors based on innovative e-wear technology, speech signals, and other pervasive technologies (e.g. accelerometres). A further goal of the project is the development of a game-like algorithm to control the user experience of anxieties through exposure therapy and to adapt the course of the therapy to the user needs and the current situation automatically.
Excerpt of scientific studies using openSMILE
audEERING's openSMILE software is widely used in the affective computing research community as it can be applied for various automatic audio analysis tasks. The publication list below is an excerpt of more than 1000 scientific studies referencing openSMILE and does not include publications made by audEERING. A complete list of publications by audEERING and its team members can be found here.
Try openSMILE and use it for:
Emotion Recognition
Singh, N., Singh, N., & Dhall, A. (2017). Continuous Multimodal Emotion Recognition Approach for AVEC 2017. arXiv preprint arXiv:1709.05861.
Vielzeuf, V., Pateux, S., & Jurie, F. (2017, November). Temporal multimodal fusion for video emotion classification in the wild. In Proceedings of the 19th ACM International Conference on Multimodal Interaction (pp. 569-576). ACM.
Tao, F., & Liu, G. (2018, April). Advanced LSTM: A study about better time dependency modeling in emotion recognition. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 2906-2910). IEEE.
Tian, L., Muszynski, M., Lai, C., Moore, J. D., Kostoulas, T., Lombardo, P., … & Chanel, G. (2017, October). Recognizing induced emotions of movie audiences: Are induced and perceived emotions the same?. In Affective Computing and Intelligent Interaction (ACII), 2017 Seventh International Conference on (pp. 28-35). IEEE.
Gamage, K. W., Sethu, V., & Ambikairajah, E. (2017, October). Modeling variable length phoneme sequences—A step towards linguistic information for speech emotion recognition in wider world. In Affective Computing and Intelligent Interaction (ACII), 2017 Seventh International Conference on (pp. 518-523). IEEE.
Knyazev, B., Shvetsov, R., Efremova, N., & Kuharenko, A. (2017). Convolutional neural networks pretrained on large face recognition datasets for emotion classification from video. arXiv preprint arXiv:1711.04598.
Gaus, Y. F. A., Meng, H., & Jan, A. (2017, June). Decoupling Temporal Dynamics for Naturalistic Affect Recognition in a Two-Stage Regression Framework. In Cybernetics (CYBCONF), 2017 3rd IEEE International Conference on (pp. 1-6). IEEE.
Cambria, E., Hazarika, D., Poria, S., Hussain, A., & Subramaanyam, R. B. V. (2017). Benchmarking multimodal sentiment analysis. arXiv preprint arXiv:1707.09538.
Torres, J. M. M., & Stepanov, E. A. (2017, August). Enhanced face/audio emotion recognition: video and instance level classification using ConvNets and restricted Boltzmann Machines. In Proceedings of the International Conference on Web Intelligence (pp. 939-946). ACM.
Siegert, I., Lotz, A. F., Egorow, O., & Wendemuth, A. (2017, September). Improving Speech-Based Emotion Recognition by Using Psychoacoustic Modeling and Analysis-by-Synthesis. In International Conference on Speech and Computer (pp. 445- 455). Springer, Cham.
Huang, C. W., & Narayanan, S. S. (2017, July). Deep convolutional recurrent neural network with attention mechanism for robust speech emotion recognition. In Multimedia and Expo (ICME), 2017 IEEE International Conference on (pp. 583- 588). IEEE.
Dhall, A., Goecke, R., Joshi, J., Wagner, M., & Gedeon, T. (2013, December). Emotion recognition in the wild challenge 2013. In Proceedings of the 15th ACM on International conference on multimodal interaction (pp. 509-516). ACM.
Dhall, A., Goecke, R., Joshi, J., Sikka, K., & Gedeon, T. (2014, November). Emotion recognition in the wild challenge 2014: Baseline, data and protocol. In Proceedings of the 16th International Conference on Multimodal Interaction (pp. 461-466). ACM.
Liu, M., Wang, R., Li, S., Shan, S., Huang, Z., & Chen, X. (2014, November). Combining multiple kernel methods on riemannian manifold for emotion recognition in the wild. In Proceedings of the 16th International Conference on Multimodal Interaction (pp. 494-501). ACM.
Dhall, A., Ramana Murthy, O. V., Goecke, R., Joshi, J., & Gedeon, T. (2015, November). Video and image based emotion recognition challenges in the wild: Emotiw 2015. In Proceedings of the 2015 ACM on International Conference on Multimodal Interaction (pp. 423-426). ACM.
Savran, A., Cao, H., Shah, M., Nenkova, A., & Verma, R. (2012, October). Combining video, audio and lexical indicators of affect in spontaneous conversation via particle filtering. In Proceedings of the 14th ACM international conference on Multimodal interaction (pp. 485-492). ACM.
Poria, S., Cambria, E., & Gelbukh, A. F. (2015, September). Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis. In EMNLP (pp. 2539-2544).
Zheng, W., Xin, M., Wang, X., & Wang, B. (2014). A novel speech emotion recognition method via incomplete sparse least square regression. IEEE Signal Processing Letters, 21(5), 569-572.
Bhattacharya, A., Wu, W., & Yang, Z. (2012). Quality of experience evaluation of voice communication: an affect-based approach. Human-centric Computing and Information Sciences, 2(1), 7.
Bone, D., Lee, C. C., & Narayanan, S. (2014). Robust unsupervised arousal rating: A rule-based framework withknowledge-inspired vocal features. IEEE transactions on affective computing, 5(2), 201-213.
Liu, M., Wang, R., Huang, Z., Shan, S., & Chen, X. (2013, December). Partial least squares regression on grassmannian manifold for emotion recognition. In Proceedings of the 15th ACM on International conference on multimodal interaction (pp. 525-530). ACM.
Audhkhasi, K., & Narayanan, S. (2013). A globally-variant locally-constant model for fusion of labels from multiple diverse experts without using reference labels. IEEE transactions on pattern analysis and machine intelligence, 35(4), 769-783.
Mariooryad, S., & Busso, C. (2013). Exploring cross-modality affective reactions for audiovisual emotion recognition. IEEE Transactions on affective computing, 4(2), 183-196.
Chen, J., Chen, Z., Chi, Z., & Fu, H. (2014, November). Emotion recognition in the wild with feature fusion and multiple kernel learning. In Proceedings of the 16th International Conference on Multimodal Interaction (pp. 508-513). ACM.
Rosenberg, A. (2012). Classifying Skewed Data: Importance Weighting to Optimize Average Recall. In Interspeech (pp. 2242-2245).
Sun, R., & Moore, E. (2011). Investigating glottal parameters and teager energy operators in emotion recognition. Affective computing and intelligent interaction, 425-434.
Sun, B., Li, L., Zuo, T., Chen, Y., Zhou, G., & Wu, X. (2014, November). Combining multimodal features with hierarchical classifier fusion for emotion recognition in the wild. In Proceedings of the 16th International Conference on Multimodal Interaction (pp. 481-486). ACM.
Mariooryad, S., & Busso, C. (2015). Correcting time-continuous emotional labels by modeling the reaction lag of evaluators. IEEE Transactions on Affective Computing, 6(2), 97-108.
Ivanov, A., & Riccardi, G. (2012, March). Kolmogorov-Smirnov test for feature selection in emotion recognition from speech. In Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on (pp. 5125-5128). IEEE.
Mariooryad, S., & Busso, C. (2013, September). Analysis and compensation of the reaction lag of evaluators in continuous emotional annotations. In Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on (pp. 85-90). IEEE.
Alonso-Martín, F., Malfaz, M., Sequeira, J., Gorostiza, J. F., & Salichs, M. A. (2013). A multimodal emotion detection system during human–robot interaction. Sensors, 13(11), 15549-15581.
Moore, J. D., Tian, L., & Lai, C. (2014, April). Word-level emotion recognition using high-level features. In International Conference on Intelligent Text Processing and Computational Linguistics (pp. 17-31). Springer Berlin Heidelberg.
Cao, H., Verma, R., & Nenkova, A. (2015). Speaker-sensitive emotion recognition via ranking: Studies on acted and spontaneous speech. Computer speech & language, 29(1), 186-202.
Mariooryad, S., & Busso, C. (2014). Compensating for speaker or lexical variabilities in speech for emotion recognition. Speech Communication, 57, 1-12.
Wu, C. H., Lin, J. C., & Wei, W. L. (2014). Survey on audiovisual emotion recognition: databases, features, and data fusion strategies. APSIPA transactions on signal and information processing, 3, e12.
Busso, C., Mariooryad, S., Metallinou, A., & Narayanan, S. (2013). Iterative feature normalization scheme for automatic emotion detection from speech. IEEE transactions on Affective computing, 4(4), 386-397.
Galanis, D., Karabetsos, S., Koutsombogera, M., Papageorgiou, H., Esposito, A., & Riviello, M. T. (2013, December). Classification of emotional speech units in call centre interactions. In Cognitive Infocommunications (CogInfoCom), 2013 IEEE 4th International Conference on (pp. 403-406). IEEE.
Sidorov, M., Brester, C., Minker, W., & Semenkin, E. (2014, May). Speech-Based Emotion Recognition: Feature Selection by Self-Adaptive Multi-Criteria Genetic Algorithm. In LREC (pp. 3481-3485).
Oflazoglu, C., & Yildirim, S. (2013). Recognizing emotion from Turkish speech using acoustic features. EURASIP Journal on Audio, Speech, and Music Processing, 2013(1), 26.
Kaya, H., & Salah, A. A. (2016). Combining modality-specific extreme learning machines for emotion recognition in the wild. Journal on Multimodal User Interfaces, 10(2), 139-149.
Amer, M. R., Siddiquie, B., Richey, C., & Divakaran, A. (2014, May). Emotion detection in speech using deep networks. In Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on (pp. 3724-3728). IEEE.
Poria, S., Chaturvedi, I., Cambria, E., & Hussain, A. (2016, December). Convolutional MKL based multimodal emotion recognition and sentiment analysis. In Data Mining (ICDM), 2016 IEEE 16th International Conference on (pp. 439-448). IEEE.
Kaya, H., Çilli, F., & Salah, A. A. (2014, November). Ensemble CCA for continuous emotion prediction. In Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge (pp. 19-26). ACM.
Mariooryad, S., Lotfian, R., & Busso, C. (2014, September). Building a naturalistic emotional speech corpus by retrieving expressive behaviors from existing speech corpora. In INTERSPEECH (pp. 238-242).
Busso, C., Parthasarathy, S., Burmania, A., AbdelWahab, M., Sadoughi, N., & Provost, E. M. (2017). MSP-IMPROV: An acted corpus of dyadic interactions to study emotion perception. IEEE Transactions on Affective Computing, 8(1), 67-80.
Jin, Q., Li, C., Chen, S., & Wu, H. (2015, April). Speech emotion recognition with acoustic and lexical features. In Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on (pp. 4749-4753). IEEE.
Peng, S. O. N. G., Yun, J. I. N., Li, Z. H. A. O., & Minghai, X. I. N. (2014). Speech emotion recognition using transfer learning. IEICE TRANSACTIONS on Information and Systems, 97(9), 2530-2532.
Huang, D. Y., Zhang, Z., & Ge, S. S. (2014). Speaker state classification based on fusion of asymmetric simple partial least squares (SIMPLS) and support vector machines. Computer Speech & Language, 28(2), 392-419.
Sun, Y., Wen, G., & Wang, J. (2015). Weighted spectral features based on local Hu moments for speech emotion recognition. Biomedical signal processing and control, 18, 80-90.
Kaya, H., Gürpinar, F., Afshar, S., & Salah, A. A. (2015, November). Contrasting and combining least squares based learners for emotion recognition in the wild. In Proceedings of the 2015 ACM on International Conference on Multimodal Interaction (pp. 459-466). ACM.
Banda, N., & Robinson, P. (2011, November). Noise analysis in audio-visual emotion recognition. In Proceedings of the International Conference on Multimodal Interaction (pp. 1-4).
Chen, S., & Jin, Q. (2015, October). Multi-modal dimensional emotion recognition using recurrent neural networks. In Proceedings of the 5th International Workshop on Audio/Visual Emotion Challenge (pp. 49-56). ACM.
Audhkhasi, K., Sethy, A., Ramabhadran, B., & Narayanan, S. S. (2012, March). Creating ensemble of diverse maximum entropy models. In Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on (pp. 4845-4848). IEEE.
Lubis, N., Sakti, S., Neubig, G., Toda, T., Purwarianti, A., & Nakamura, S. (2016). Emotion and its triggers in human spoken dialogue: Recognition and analysis. In Situated Dialog in Speech-Based Human-Computer Interaction (pp. 103-110). Springer International Publishing.
Song, P., Jin, Y., Zha, C., & Zhao, L. (2014). Speech emotion recognition method based on hidden factor analysis. Electronics Letters, 51(1), 112-114.
Dhall, A., Goecke, R., Joshi, J., Wagner, M., & Gedeon, T. (2013, December). Emotion recognition in the wild challenge (EmotiW) challenge and workshop summary. In Proceedings of the 15th ACM on International conference on multimodal interaction (pp. 371-372). ACM.
Chen, L., Yoon, S. Y., Leong, C. W., Martin, M., & Ma, M. (2014, November). An initial analysis of structured video interviews by using multimodal emotion detection. In Proceedings of the 2014 workshop on Emotion Representation and Modelling in Human-Computer-Interaction-Systems (pp. 1-6). ACM.
Brester, C., Semenkin, E., Sidorov, M., & Minker, W. (2014). Self-adaptive multi-objective genetic algorithms for feature selection. In Proceedings of International Conference on Engineering and Applied Sciences Optimization (pp. 1838-1846).
Tian, L., Lai, C., & Moore, J. (2015, April). Recognizing emotions in dialogues with disfluencies and non-verbal vocalisations. In Proceedings of the 4th Interdisciplinary Workshop on Laughter and Other Non-verbal Vocalisations in Speech (Vol. 14, p. 15).
Lopez-Otero, P., Docio-Fernandez, L., & Garcia-Mateo, C. (2014). iVectors for continuous emotion recognition. Training, 45, 50.
Bojanic, M., Crnojevic, V., & Delic, V. (2012, September). Application of neural networks in emotional speech recognition. In Neural Network Applications in Electrical Engineering (NEUREL), 2012 11th Symposium on (pp. 223-226). IEEE.
Kim, J. C., & Clements, M. A. (2015). Multimodal affect classification at various temporal lengths. IEEE Transactions on Affective Computing, 6(4), 371-384.
Bone, D., Lee, C. C., Potamianos, A., & Narayanan, S. S. (2014). An investigation of vocal arousal dynamics in child-psychologist interactions using synchrony measures and a conversation-based model. In INTERSPEECH (pp. 218-222).
Day, M. (2013, December). Emotion recognition with boosted tree classifiers. In Proceedings of the 15th ACM on International conference on multimodal interaction (pp. 531-534). ACM.
Sidorov, M., Ultes, S., & Schmitt, A. (2014, May). Comparison of Gender-and Speaker-adaptive Emotion Recognition. In LREC (pp. 3476-3480).
Tian, L., Moore, J. D., & Lai, C. (2015, September). Emotion recognition in spontaneous and acted dialogues. In Affective Computing and Intelligent Interaction (ACII), 2015 International Conference on (pp. 698-704). IEEE.
Sun, B., Li, L., Zhou, G., Wu, X., He, J., Yu, L., … & Wei, Q. (2015, November). Combining multimodal features within a fusion network for emotion recognition in the wild. In Proceedings of the 2015 ACM on International Conference on Multimodal Interaction (pp. 497-502). ACM.
Ellis, J. G., Lin, W. S., Lin, C. Y., & Chang, S. F. (2014, December). Predicting evoked emotions in video. In Multimedia (ISM), 2014 IEEE International Symposium on (pp. 287-294). IEEE.
Brester, C., Semenkin, E., Kovalev, I., Zelenkov, P., & Sidorov, M. (2015, May). Evolutionary feature selection for emotion recognition in multilingual speech analysis. In Evolutionary Computation (CEC), 2015 IEEE Congress on (pp. 2406-2411). IEEE.
Zhang, B., Provost, E. M., Swedberg, R., & Essl, G. (2015, January). Predicting Emotion Perception Across Domains: A Study of Singing and Speaking. In AAAI (pp. 1328-1335).
Brester, C., Sidorov, M., & Semenkin, E. (2014). Speech-based emotion recognition: Application of collective decision making concepts. In Proceedings of the 2nd International Conference on Computer Science and Artificial Intelligence (ICCSAI2014) (pp. 216-220).
Cao, H., Savran, A., Verma, R., & Nenkova, A. (2015). Acoustic and lexical representations for affect prediction in spontaneous conversations. Computer speech & language, 29(1), 203-217.
Sidorov, M., Brester, C., Semenkin, E., & Minker, W. (2014, September). Speaker state recognition with neural network-based classification and self-adaptive heuristic feature selection. In Informatics in Control, Automation and Robotics (ICINCO), 2014 11th International Conference on (Vol. 1, pp. 699-703). IEEE.
Tickle, A., Raghu, S., & Elshaw, M. (2013). Emotional recognition from the speech signal for a virtual education agent. In Journal of Physics: Conference Series (Vol. 450, No. 1, p. 012053). IOP Publishing.
Personality Recognition
Vinciarelli, A., & Mohammadi, G. (2014). A survey of personality computing. IEEE Transactions on Affective Computing, 5(3), 273-291.
Pohjalainen, J., Räsänen, O., & Kadioglu, S. (2015). Feature selection methods and their combinations in high-dimensional classification of speaker likability, intelligibility and personality traits. Computer Speech & Language, 29(1), 145-171.
Ivanov, A. V., Riccardi, G., Sporka, A. J., & Franc, J. (2011). Recognition of Personality Traits from Human Spoken Conversations. In INTERSPEECH (pp. 1549-1552).
Chastagnol, C., & Devillers, L. (2012). Personality traits detection using a parallelized modified SFFS algorithm. computing, 15, 16.
Alam, F., & Riccardi, G. (2013, August). Comparative study of speaker personality traits recognition in conversational and broadcast news speech. In INTERSPEECH (pp. 2851-2855).
Alam, F., & Riccardi, G. (2014, May). Fusion of acoustic, linguistic and psycholinguistic features for speaker personality traits recognition. In Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on (pp. 955-959). IEEE.
Wagner, J., Lingenfelser, F., & André, E. (2012). A Frame Pruning Approach for Paralinguistic Recognition Tasks. In INTERSPEECH (pp. 274-277).
Feese, S., Muaremi, A., Arnrich, B., Troster, G., Meyer, B., & Jonas, K. (2011, October). Discriminating individually considerate and authoritarian leaders by speech activity cues. In Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on (pp. 1460-1465). IEEE.
Liu, G., & Hansen, J. H. (2014). Supra-segmental feature based speaker trait detection. In Proc. Odyssey.
Liu, C. J., Wu, C. H., & Chiu, Y. H. (2013, October). BFI-based speaker personality perception using acoustic-prosodic features. In Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2013 Asia-Pacific (pp. 1-6). IEEE.
Depression Detection
Grünerbl, A., Muaremi, A., Osmani, V., Bahle, G., Oehler, S., Tröster, G., … & Lukowicz, P. (2015). Smartphone-based recognition of states and state changes in bipolar disorder patients. IEEE Journal of Biomedical and Health Informatics, 19(1), 140-148.
Gravenhorst, F., Muaremi, A., Bardram, J., Grünerbl, A., Mayora, O., Wurzer, G., … & Tröster, G. (2015). Mobile phones as medical devices in mental disorder treatment: an overview. Personal and Ubiquitous Computing, 19(2), 335-353.
Cummins, N., Joshi, J., Dhall, A., Sethu, V., Goecke, R., & Epps, J. (2013, October). Diagnosis of depression by behavioural signals: a multimodal approach. In Proceedings of the 3rd ACM international workshop on Audio/visual emotion challenge (pp. 11-20). ACM.
Alghowinem, S., Goecke, R., Wagner, M., Epps, J., Breakspear, M., & Parker, G. (2012, May). From Joyous to Clinically Depressed: Mood Detection Using Spontaneous Speech. In FLAIRS Conference.
Joshi, J., Goecke, R., Alghowinem, S., Dhall, A., Wagner, M., Epps, J., … & Breakspear, M. (2013). Multimodal assistive technologies for depression diagnosis and monitoring. Journal on Multimodal User Interfaces, 7(3), 217-228.
Alghowinem, S., Goecke, R., Wagner, M., Epps, J., Breakspear, M., & Parker, G. (2013, May). Detecting depression: a comparison between spontaneous and read speech. In Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on (pp. 7547-7551). IEEE.
Cummins, N., Epps, J., Sethu, V., Breakspear, M., & Goecke, R. (2013, August). Modeling spectral variability for the classification of depressed speech. In Interspeech (pp. 857-861).
Alghowinem, S., Goecke, R., Wagner, M., Epps, J., Gedeon, T., Breakspear, M., & Parker, G. (2013, May). A comparative study of different classifiers for detecting depression from spontaneous speech. In Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on (pp. 8022-8026). IEEE.
Gupta, R., Malandrakis, N., Xiao, B., Guha, T., Van Segbroeck, M., Black, M., … & Narayanan, S. (2014, November). Multimodal prediction of affective dimensions and depression in human-computer interactions. In Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge (pp. 33-40). ACM.
Karam, Z. N., Provost, E. M., Singh, S., Montgomery, J., Archer, C., Harrington, G., & Mcinnis, M. G. (2014, May). Ecologically valid long-term mood monitoring of individuals with bipolar disorder using speech. In Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on (pp. 4858-4862). IEEE.
Mitra, V., Shriberg, E., McLaren, M., Kathol, A., Richey, C., Vergyri, D., & Graciarena, M. (2014, November). The SRI AVEC-2014 evaluation system. In Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge (pp. 93-101). ACM.
Sidorov, M., & Minker, W. (2014, November). Emotion recognition and depression diagnosis by acoustic and visual features: A multimodal approach. In Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge (pp. 81-86). ACM.
Kaya, H., & Salah, A. A. (2014, November). Eyes whisper depression: A cca based multimodal approach. In Proceedings of the 22nd ACM international conference on Multimedia (pp. 961-964). ACM.
Hönig, F., Batliner, A., Nöth, E., Schnieder, S., & Krajewski, J. (2014, September). Automatic modelling of depressed speech: relevant features and relevance of gender. In INTERSPEECH (pp. 1248-1252).
Alghowinem, S., Goecke, R., Wagner, M., Epps, J., Parker, G., & Breakspear, M. (2013). Characterising depressed speech for classification. In Interspeech (pp. 2534-2538).
Asgari, M., Shafran, I., & Sheeber, L. B. (2014, September). Inferring clinical depression from speech and spoken utterances. In Machine Learning for Signal Processing (MLSP), 2014 IEEE International Workshop on (pp. 1-5). IEEE.
Lopez-Otero, P., Docio-Fernandez, L., & Garcia-Mateo, C. (2014, May). A study of acoustic features for the classification of depressed speech. In Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2014 37th International Convention on (pp. 1331-1335). IEEE.
Lopez-Otero, P., Dacia-Fernandez, L., & Garcia-Mateo, C. (2014, March). A study of acoustic features for depression detection. In Biometrics and Forensics (IWBF), 2014 International Workshop on (pp. 1-6). IEEE.
Stress Recognition
Muaremi, A., Arnrich, B., & Tröster, G. (2013). Towards measuring stress with smartphones and wearable devices during workday and sleep. BioNanoScience, 3(2), 172-183.
Van Segbroeck, M., Travadi, R., Vaz, C., Kim, J., Black, M. P., Potamianos, A., & Narayanan, S. S. (2014, September). Classification of cognitive load from speech using an i-vector framework. In INTERSPEECH (pp. 751-755).
Aguiar, A. C., Kaiseler, M., Meinedo, H., Abrudan, T. E., & Almeida, P. R. (2013, September). Speech stress assessment using physiological and psychological measures. In Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication (pp. 921-930). ACM.
Li, M. (2014). Automatic recognition of speaker physical load using posterior probability based features from acoustic and phonetic tokens.
Laughter Detection
Niewiadomski, R., Hofmann, J., Urbain, J., Platt, T., Wagner, J., Piot, B., … & Geist, M. (2013, May). Laugh-aware virtual agent and its impact on user amusement. In Proceedings of the 2013 international conference on Autonomous agents
Gupta, R., Audhkhasi, K., Lee, S., & Narayanan, S. (2013). Paralinguistic event detection from speech using probabilistic time-series smoothing and masking. In Interspeech (pp. 173-177).
Oh, J., Cho, E., & Slaney, M. (2013, August). Characteristic contours of syllabic-level units in laughter. In Interspeech (pp. 158-162).
Speaker Likability Recognition
Pohjalainen, J., Räsänen, O., & Kadioglu, S. (2015). Feature selection methods and their combinations in high-dimensional classification of speaker likability, intelligibility and personality traits. Computer Speech & Language, 29(1), 145-171.
Carlson, N. A. (2017, September). Simple Acoustic-Prosodic Models of Confidence and Likability are Associated with Long-Term Funding Outcomes for Entrepreneurs. In International Conference on Social Informatics (pp. 3-16). Springer, Cham.
Autism Dignosis
Bone, D., Lee, C. C., Black, M. P., Williams, M. E., Lee, S., Levitt, P., & Narayanan, S. (2014). The psychologist as an interlocutor in autism spectrum disorder assessment: Insights from a study of spontaneous prosody. Journal of Speech, Language, and Hearing Research, 57(4), 1162-1177.
Räsänen, O., & Pohjalainen, J. (2013, August). Random subset feature selection in automatic recognition of developmental disorders, affective states, and level of conflict from speech. In INTERSPEECH (pp. 210-214).
Bone, D., Chaspari, T., Audhkhasi, K., Gibson, J., Tsiartas, A., Van Segbroeck, M., … & Narayanan, S. (2013). Classifying language-related developmental disorders from speech cues: the promise and the potential confounds. In INTERSPEECH (pp. 182-186).
Virtual Agents
Reidsma, D., de Kok, I., Neiberg, D., Pammi, S. C., van Straalen, B., Truong, K., & van Welbergen, H. (2011). Continuous interaction with a virtual human. Journal on Multimodal User Interfaces, 4(2), 97-118.
Bevacqua, E., De Sevin, E., Hyniewska, S. J., & Pelachaud, C. (2012). A listener model: introducing personality traits. Journal on Multimodal User Interfaces, 6(1-2), 27-38.
Kopp, S., van Welbergen, H., Yaghoubzadeh, R., & Buschmeier, H. (2014). An architecture for fluid real-time conversational agents: integrating incremental output generation and input processing. Journal on Multimodal User Interfaces, 8(1), 97-108.
Neiberg, D., & Truong, K. P. (2011, May). Online detection of vocal listener responses with maximum latency constraints. In Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on (pp. 5836-5839). IEEE.
Maat, M. (2011). Response selection and turn-taking for a sensitive artificial listening agent. University of Twente.
Gebhard, P., Baur, T., Damian, I., Mehlmann, G., Wagner, J., & André, E. (2014, May). Exploring interaction strategies for virtual characters to induce stress in simulated job interviews. In Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems (pp. 661-668). International Foundation for Autonomous Agents and Multiagent Systems.
Bird Sound Identification
Potamitis, I., Ntalampiras, S., Jahn, O., & Riede, K. (2014). Automatic bird sound detection in long real-field recordings: Applications and tools. Applied Acoustics, 80, 1-9.
Goëau, H., Glotin, H., Vellinga, W. P., Planqué, R., Rauber, A., & Joly, A. (2014, September). LifeCLEF bird identification task 2014. In CLEF2014.
Lasseck, M. (2014). Large-scale Identification of Birds in Audio Recordings. In CLEF (Working Notes) (pp. 643-653).
Lasseck, M. (2015, September). Towards automatic large-scale identification of birds in audio recordings. In International Conference of the Cross-Language Evaluation Forum for European Languages (pp. 364-375). Springer International Publishing.
Emotional Speech Synthesis Research
Black, A. W., Bunnell, H. T., Dou, Y., Muthukumar, P. K., Metze, F., Perry, D., … & Vaughn, C. (2012, March). Articulatory features for expressive speech synthesis. In Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on (pp. 4005-4008). IEEE.
Steidl, S., Polzehl, T., Bunnell, H. T., Dou, Y., Muthukumar, P. K., Perry, D., … & Metze, F. (2012). Emotion identification for evaluation of synthesized emotional speech.
Gallardo-Antolín, A., Montero, J. M., & King, S. (2014). A comparison of open-source segmentation architectures for dealing with imperfect data from the media in speech synthesis.
Parkinson's Disease Diagnosis
Alhanai, T., Au, R., & Glass, J. (2017, December). Spoken language biomarkers for detecting cognitive impairment. In Automatic Speech Recognition and Understanding Workshop (ASRU), 2017 IEEE (pp. 409-416). IEEE.
Bayestehtashk, A., Asgari, M., Shafran, I., & McNames, J. (2015). Fully automated assessment of the severity of Parkinson's disease from speech. Computer speech & language, 29(1), 172-185.
Bocklet, T., Steidl, S., Nöth, E., & Skodda, S. (2013). Automatic evaluation of parkinson's speech-acoustic, prosodic and voice related cues. In Interspeech (pp. 1149-1153).
Orozco-Arroyave, J. R., Hönig, F., Arias-Londoño, J. D., Vargas-Bonilla, J. F., Daqrouq, K., Skodda, S., … & Nöth, E. (2016). Automatic detection of Parkinson's disease in running speech spoken in three different languages. The Journal of the Acoustical Society of America, 139(1), 481-500.
Kim, J., Nasir, M., Gupta, R., Van Segbroeck, M., Bone, D., Black, M. P., … & Narayanan, S. S. (2015, September). Automatic estimation of parkinson's disease severity from diverse speech tasks. In INTERSPEECH (pp. 914-918).
Pompili, A., Abad, A., Romano, P., Martins, I. P., Cardoso, R., Santos, H., … & Ferreira, J. J. (2017, August). Automatic Detection of Parkinson's Disease: An Experimental Analysis of Common Speech Production Tasks Used for Diagnosis.
In International Conference on Text, Speech, and Dialogue (pp. 411-419). Springer, Cham.
Intoxication Detection
Gajšek, R., Mihelic, F., & Dobrišek, S. (2013). Speaker state recognition using an HMM-based feature extraction method. Computer Speech & Language, 27(1), 135-150.
Bone, D., Li, M., Black, M. P., & Narayanan, S. S. (2014). Intoxicated speech detection: A fusion framework with speaker-normalized hierarchical functionals and GMM supervectors. Computer speech & language, 28(2), 375-391.
Suendermann-Oeft, D., Ramanarayanan, V., Teckenbrock, M., Neutatz, F., & Schmidt, D. (2015). HALEF: An Open-Source Standard-Compliant Telephony-Based Modular Spoken Dialog System: A Review and An Outlook. In Natural Language Dialog Systems and Intelligent Assistants (pp. 53-61). Springer International Publishing.
Huang, C. L., Tsao, Y., Hori, C., & Kashioka, H. (2011, October). Feature normalization and selection for robust speaker state recognition. In Speech Database and Assessments (Oriental COCOSDA), 2011 International Conference on (pp. 102-105). IEEE.
Speech Intelligibility Classification
Kim, J., Kumar, N., Tsiartas, A., Li, M., & Narayanan, S. S. (2015). Automatic intelligibility classification of sentence-level pathological speech. Computer speech & language, 29(1), 132-144.
Aggression Detection
Lefter, I., Rothkrantz, L. J., & Burghouts, G. J. (2013). A comparative study on automatic audio–visual fusion for aggression detection using meta-information. Pattern Recognition Letters, 34(15), 1953-1963.
Gosztolya, G., & Tóth, L. (2017). DNN-Based Feature Extraction for Conflict Intensity Estimation From Speech. IEEE Signal Processing Letters, 24(12), 1837-1841.
Speech Recognition Optimization
Audhkhasi, K., Zavou, A. M., Georgiou, P. G., & Narayanan, S. S. (2014). Theoretical analysis of diversity in an ensemble of automatic speech recognition systems. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 22(3), 711-726.
Uncertainty Detection
Forbes-Riley, K., Litman, D., Friedberg, H., & Drummond, J. (2012, June). Intrinsic and extrinsic evaluation of an automatic user disengagement detector for an uncertainty-adaptive spoken dialogue system. In Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (pp. 91-102). Association for Computational Linguistics
Litman, D. J., Friedberg, H., & Forbes-Riley, K. (2012). Prosodic Cues to Disengagement and Uncertainty in Physics Tutorial Dialogues. In INTERSPEECH (pp. 755-758).
Articulatory Disorder Detection
Cmejla, R., Rusz, J., Bergl, P., & Vokral, J. (2013). Bayesian changepoint detection for the automatic assessment of fluency and articulatory disorders. Speech Communication, 55(1), 178-189.
Chalasani, T. (2017). AUTOMATED ASSESSMENT FOR THE THERAPY SUCCESS OF FOREIGN ACCENT SYNDROME: Based on Emotional Temperature.
Eating Behavior Analysis
Kalantarian, H., & Sarrafzadeh, M. (2015). Audio-based detection and evaluation of eating behavior using the smartwatch platform. Computers in biology and medicine, 65, 1-9.
Multimedia Event Detection
Metze, F., Rawat, S., & Wang, Y. (2014, July). Improved audio features for large-scale multimedia event detection. In Multimedia and Expo (ICME), 2014 IEEE International Conference on (pp. 1-6). IEEE.
Rawat, S., Schulam, P. F., Burger, S., Ding, D., Wang, Y., & Metze, F. (2013). Robust audio-codebooks for large-scale event detection in consumer videos.
Avila, S., Moreira, D., Perez, M., Moraes, D., Cota, I., Testoni, V., … & Rocha, A. (2014). RECOD at MediaEval 2014: Violent scenes detection task. In CEUR Workshop Proceedings. CEUR-WS.
Whisper Speech Analysis
Tran, T., Mariooryad, S., & Busso, C. (2013, May). Audiovisual corpus to analyze whisper speech. In Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on (pp. 8101-8105). IEEE.
Speaking Style Analysis
Mariooryad, S., Kannan, A., Hakkani-Tur, D., & Shriberg, E. (2014, May). Automatic characterization of speaking styles in educational videos. In Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on (pp. 4848-4852). IEEE.
Verkhodanova, V., Shapranov, V., & Kipyatkova, I. (2017, September). Hesitations in Spontaneous Speech: Acoustic Analysis and Detection. In International Conference on Speech and Computer (pp. 398-406). Springer, Cham.
Lee, M., Kim, J., Truong, K., de Kort, Y., Beute, F., & IJsselsteijn, W. (2017, October). Exploring moral conflicts in speech: Multidisciplinary analysis of affect and stress. In Affective Computing and Intelligent Interaction (ACII), 2017 Seventh International Conference on (pp. 407-414). IEEE.
Head Motion Synthesis
Ben Youssef, A., Shimodaira, H., & Braude, D. A. (2013). Articulatory features for speech-driven head motion synthesis. Proceedings of Interspeech, Lyon, France.
Music Mood Recognition
Fan, Y., & Xu, M. (2014, October). MediaEval 2014: THU-HCSIL Approach to Emotion in Music Task using Multi-level Regression. In MediaEval.
Word Prominence Detection
Heckmann, M. (2014, September). Steps towards more natural human-machine interaction via audio-visual word prominence detection. In International Workshop on Multimodal Analyses Enabling Artificial Agents in Human-Machine Interaction (pp. 15-24). Springer International Publishing.
Accent Identification
Hönig, F., Bocklet, T., Riedhammer, K., Batliner, A., & Nöth, E. (2012). The Automatic Assessment of Non-native Prosody: Combining Classical Prosodic Analysis with Acoustic Modelling. In INTERSPEECH (pp. 823-826).
Finkelstein, S., Ogan, A., Vaughn, C., & Cassell, J. (2013). Alex: A virtual peer that identifies student dialect. In Proc. Workshop on Culturally-aware Technology Enhanced Learning in conjuction with EC-TEL 2013, Paphos, Cyprus, September 17.
Speaker Verification
Weng, S., Chen, S., Yu, L., Wu, X., Cai, W., Liu, Z., … & Li, M. (2015, December). The SYSU system for the interspeech 2015 automatic speaker verification spoofing and countermeasures challenge. In Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2015 Asia-Pacific (pp. 152-155). IEEE.
Parthasarathy, S., & Busso, C. (2017, October). Predicting speaker recognition reliability by considering emotional content. In Affective Computing and Intelligent Interaction (ACII), 2017 Seventh International Conference on (pp. 434 – 439). IEEE.
Singing Voice Detection
Lehner, B., Widmer, G., & Bock, S. (2015, August). A low-latency, real-time-capable singing voice detection method with LSTM recurrent neural networks. In Signal Processing Conference (EUSIPCO), 2015 23rd European (pp. 21-25). IEEE.
Sha, C. Y., Yang, Y. H., Lin, Y. C., & Chen, H. H. (2013, May). Singing voice timbre classification of chinese popular music. In Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on (pp. 734-738). IEEE.
Human Activity Recognition
Ghosh, A., & Riccardi, G. (2014, November). Recognizing human activities from smartphone sensor signals. In Proceedings of the 22nd ACM international conference on Multimedia (pp. 865-868). ACM.
Music Playlist Generation
Lukacs, G., Jani, M., & Takacs, G. (2013, September). Acoustic feature mining for mixed speech and music playlist generation. In ELMAR, 2013 55th International Symposium (pp. 275-278). IEEE.


text:
Banjo Paterson
The Wreck Of The Golfer - Poem by Banjo Paterson
It was the Bondi golfing man
Drove off from the golf house tee,
And he had taken his little daughter
To bear him company.
"Oh, Father, why do you swing the club
And flourish it such a lot?"
"You watch it fly o'er the fences high!"
And he tried with a brassey shot.
"Oh, Father, why did you hit the fence
Just there where the brambles twine?"
And the father he answered never a word,
But he got on the green in nine.
"Oh, Father, hark from behind those trees,
What dismal yells arrive!"
"'Tis a man I ween on the second green,
And I've landed him with my drive."
"Oh, Father, why does the poor Chinee
Fall down on his knees and cry?"
"He taketh me for his Excellency,
And he thinks once hit twice shy."
So on they fared to the waterhole,
And he drove with a lot of dash,
But his balls full soon in the dread lagoon
Fell down with a woeful splash.
"Oh, Father, why do you beat the sand
Till it flies like the carded wool?"
And the father he answered never a word,
For his heart was much too full.
"Oh, Father, why are they shouting 'fore'
And screaming so lustily?"
But the father he answered never a word,
A pallid corpse was he.
For a well-swung drive on the back of his head
Had landed and laid him low.
Lord save us all from a fate like this
When next to the links we go.
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I Do Not Love You Except Because I Love You
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Do Not Stand At My Grave And Weep
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text:
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text:
Date: 06/02/2017
Writer: Jane Moorman, 505-249-0527, email@example.com
RUIDOSO The influence of drought cycles on rangeland and cattle management options will be the theme for the second annual Sustainable Rangelands Symposium Wednesday and Thursday, June 21-22, at the Ruidoso Conference Center, 811 Sierra Blanca Drive, Ruidoso.
New Mexico State Universitys College of Agricultural, Consumer and Environmental Sciences and Texas Tech Universitys College of Agricultural Sciences and Natural Resources are co-hosting the event that will follow the New Mexico Cattle Growers Association conference.
Rangeland sustainability is a key concept and one to which all ranchers, landowners, technicians and resource managers should strive to achieve and maintain, said Mike Hubbert, NMSU animal and range sciences professor. We have developed a roster of speakers that will address the drought cycles and what ranchers may do to lessen the impact on their operation.
From soils, water conservation and forage production, to livestock and wildlife management, the speakers will provide vital information.
Additional program topics will address calf values, and what feed yards and packers are looking for in the animals they buy, Hubbert said. Ultimately, the industry must understand the impact of consumers preference as to what they want and what they actually buy.
Keynote speaker Gary Paul Nabhan is an internationally celebrated nature writer, agrarian activist and ethnobiologist who tangibly works on conserving the links between bio diversity and cultural diversity.
The National Ranching Heritage Center at Texas Tech University will host a Ranch Camp for the attendees children who have completed grades one through five.
While their parents attend the symposium sessions, the children will participate in hands-on activities and lessons created and led by NRHC educators, Hubbert said.
Symposium programs will be from 1 to 5 p.m. Wednesday, June 21, and from 8 a.m. to 5 p.m. Thursday, June 22.
Pre-event registration fee is $75 for an individual, or $100 for a couple. Registration fee at the door will be $100. Contact Jenny Castillo at 575-646-2515 to register.
MCM Elegante Lodge and Suites is the conference hotel. To make reservation call 575-258-5500.
© 2013 New Mexico State University Board of Regents


text:
|Jackson Guitars Rare Models
Jackson Guitars Rare & Discontinued
Home > All Guitars > Jackson Guitars > Jackson Models
Titanium Floyd Rose
When Fender First Bought Jackson
The worst thing that happened was they discontinued a lot of the very cool obscure models. One can only assume that Fender's legal department probably decided it wasn't worth fighting with the overly litigious Gibson Guitar company on some of those old fuddy dud 60 year old designs.
I am looking for suggestions for this page, Please send me pictures of
anything you think I missed. As of this writing I have to say the quality &
value of the Jackson product is still excellent.
As of 2007 BC Rich is no longer offering American Made Neck Thru Guitars, Today even their 7,000.00 ones are all imports so Jackson has only one real competitor "Abstract Guitars"
Vinnie Vincent Model
Randy Rhoads Models
I generally will have a large selection of different USA made RR Guitars. I have also constructed exact replicas of the Original model that was built for Randy.
I am in the market to buy Randy Rhoads White Ltd Edition Sharkfin V's, Please contact me if you have one to sell. Top dollar paid !!!!
Yes I have Originals in Stock with Floyds or Std
Original Jackson Randy Rhoads Guitars
Ed Roman offers a much better & lower cost
version !!
Original Harpoon Headstock
Faithful reproduction of Randy's original model by
The Roswell Rhoads Guitar
Discontinued Jackson Guitars
Sometimes I get calls for discontinued Jackson, Hamer, Ibanez, Washburn, ESP Guitars. Models like the Vinnie Vincent, The Alien, Warthog, Death Angel, The Californian, The Virtuoso, The Scarab, The Demon, Many Different Explorer & V Shapes & many others that weren't even named.
Copyright problems
Our painters include Mike Learn, Dan Lawrence, Mark Wilson, Ryan Evans, Shawn Ortiz, Adam Stark & many of the original Dean, BC Rich, Jackson painters.
We Have Many old Jackson Catalogs For Sale
Handmade High Quality, Replica Available Call Ed Roman
We love trade In's
or we will buy your guitar for cash
Jackson Flying Vee Discontinued
Discontinued Dave Mustaine Model
(Originals in Stock)
Discontinued Zoraxe Model (Original
Jackson's in


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The James Perse Tricycle is a 1970's inspired design. Custom made with an extra low center of gravity design so it won't tip over. Sturdy construction made with heavy duty steel and powder coated for superior chip resistance. Attached deck is made of teak wood. This tricycle is made in orange, white, green and matte black.
Now available at James Perse's online store.
Currently SOLD OUT – For future orders contact email@example.com.
Tags: jamesperse.com


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New Delhi: The Press Council of India has formed a four-member committee to investigate the practice of paid news and keep a tab on any other attempt to affect the freedom of the press during the elections in Gujarat.
"Since the Gujarat Legislative Assembly elections are shortly to take place, I am here by appointing a committee of four members of the Press Council of India who are requested to visit Gujarat soon and make an extensive tour of the whole state, and after thorough investigation, report to me about any incidents of paid news or any kind of violation of press freedom, overt or covert, direct or indirect, in connection with the Gujarat elections," PCI chairperson Justice Markandey Katju said here.
The members of the committee are Rajeev Ranjan Nag (convener), Kalyan Baruah, Sandeep Shankar and Neeraj Bajpai.
The convener of the committee is authorised to appoint sub-committees and distribute work among the members in any manner he deems fit, the statement added.
Explaining its reason to form the committee, the PCI said that the Election Commission has detected a large number of cases of paid news in the recent Himachal Pradesh Assembly elections.
Paid news can result in cancellation of an election result, and the election result of one person declared elected in the UP Legislative Assembly elections was cancelled on this ground, the PCI statement added.
Gujarat goes to polls on December 13 and 17.


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- Publicité
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text: Problems involving British televsion rights could keep Tim Witherspoon from defending the World Boxing Association heavyweight title against Frank Bruno of Britain in July in London. Negotiations have been under way to hold the fight outdoors at Wembley Stadium before an estimated crowd of 80,000. The fight would be televised live by HBO and seen in the United States July 19. ''If it is not held, Witherspoon would defend against Tony Tubbs in July or August,'' Bob Greenway, vice president for sports for HBO, said.


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Filed under: Pearl Jam | Tags: Avocado, Boom Gaspar, Brendan O' Brien, Eddie Vedder, Jeff Ament, Madison Square Garden, Matt Cameron, Mike McCready, New Album, Pearl Jam, Stone Gossard, Yield
In a recent interview with Rolling Stone, Pearl Jam guitarist Mike McCready revealed the band has reunited with longtime producer Brendan O' Brien for the first time since 1998's Yield, to begin recording tracks for the band's 9th studio album.
"It's really in its infant stages right now," McCready tells Rolling Stone. "We have about five ideas that have been worked on."
The band have yet to decide upon a direction for the first release since 2006's Pearl Jam, known to fans as Avocado. "Brendan is another set of ears that we respect, and he's going to give us a different way to go but I don't know what that is yet."
With one session already wrapped up, McCready will now focus on his Crohn's Disease fundraiser in Seattle tonight, before the band reconvene to begin rehersals for their June East Coast tour, which includes two shows at Madison Square Garden, for the first time since the 2003 Riot Act tour, a show that spawned the DVD release Live At The Garden.
Upon completion of the tour, the band will get back together with O' Brien and auxillary member Kenneth 'Boom' Gaspar to continue laying down demos.
Guitarist Stone Gossard has previously hinted towards a Radiohead-style release, saying he would have no problem following their lead if the experimental pay-what-you-want giveaway was a success.


text: As I was adding apps to my home screen I accidentally added an app twice, so I have two Facebook launches next to each other. It really doesn't hurt anything, but looks extremely short bus and I don't want it like that. Anyone know how I can delete the extra version?


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Love is a Battlefield
With Valentine's Day just around the corned, it may be time to break out the arsenal. Sometimes you have to get down, dirty, and bloody, in order to win a heart, lose a heart, cut out a heart, and whatever else that comes along. It's not always pretty, it's not always perfect, sometimes it gets down right messy. Sometimes Love really is a Battlefield.
Hair: >Truth< Adriana (streaked) – tahiti**
Eyes: LAQ ~ Dazzling Aqua Eyes
Skin: LAQ ~ Elena – 02 [Nougat]
Cleaveage: LAQ ~ Cleavage enhancer v2 Tattoo layer [Nougat]
Make-Up: Y&R Design ~ Messy Eyeshadow <tattoo layer>**
Dress: !RT ~ Zombie Bloom**
Shoes: Bottle Bird ~ Wallpaper **
Necklace: [MANDALA]Pearl Rain Jewelry Set/Rose pink
Battlewounds: Hysteria ~ Heartless <tattoo layer>**; ++Randomocity++ ~ Bloody Face <tattoo layer>, Wounds (Less Bloody), Bloody Legs **
Notes: Viewer 2 was used for multi-layering, ** Also available on Marketplace
February 8, 2011 | Categories: Monster, Pretty, Roleplaying | Tags: Bottle Bird, LAQ, mandala, Randomocity, Rotten Toe, Truth, Y&R | 1 Comment


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The Secretary of the State-of-the-Art keeps Drafting Me To Paint Ridiculous Portraits of Michelangelo [on Issuu.com]
Everything You Need To Know About A Bull Market [on Issuu.com]
I Thought Ponyo Was Hentai, What Gives?
"420 Blaze It," Says Burning Monk
Music Review: Future's New Album
An Interview With The "Leather Man" Outside Au Bon Pain
Diagnosis: I'm not Michael Phelps
Neil deGrasse Tyson: Point Counterpoint
I Can't Stop Looking at Pictures of Crash Bandicoot
Progress! Hofstra Announces Bathrooms Formerly Open To Anyone Now "Gender Inclusive"
Babies Are Cowards [on Issuu.com]
The Truth About Blue's Clues [on Issuu.com]
Hofstra Versus Zombies: Gun Control
A Message To All Students Relax(atives) [on Issuu.com]
Food Reviews: None Pizza With Left Beef


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Ever since I've known Brett, he's had a food crush on the dish we've come to know as tortellini (tortellini Alfredo, tortellini soup, tortellini with parmesan etc. - the sky's the limit!). Brett's tortellini fixes can come in any cooking style or flavor and it will always hit the spot. As a child, Brett's answer to the classic "what's your favorite food?" question was always "tortellini!" A response that would leave many stunned, and somewhat confused.
Well, you can only imagine Brett's excitement when we found out that Bologna, a city about 6 hours north of Naples, is actually the home place of all things tortellini (we even saw tortellini shaped chocolate!). Bologna is specifically known for their Tortellini en Brodo (Tortellini in Broth)- a dish we knew we had to try.
Without much other motivation, we set off on a road trip to Bologna with the one goal of trying authentic tortellini dishes. (On a side note: on the way to Bologna, we stopped in the spectacular town of Orvieto. We wanted to check out their underground tour and cliff face views. I would recommend this side trip to anyone wanting to explore one of Italy's many mountain top towns.)
Back to the story, Brett had two specific restaurants in mind that he wanted to try while in Bologna. One restaurant is in the actual city of Bologna (La Traviata), and the other is half an hour from Bologna in Castelfranco (La Lumira). Although Bologna is known for being the home place of tortellini, the restaurant in Castelfranco is touted as having "the best tortellini" in the area. Of course, we were intrigued and had to try both.
This is what we learned: tortellini as we know it, is actually (wait for it...) Tortelloni (GASP!!!!). This revelation was shocking to us too- haha. Tortellini, as is classically made in Bologna, are tiny in comparison to the tortellini we know in the U.S.
Our experience with the food in La Traviata was delicious! After trying Tortellini en Brodo in both places, Brett decided that although the tortellini from La Traviata was super tasty- that the broth from La Lumira was the best. The broth was somehow more flavorful and heartier- a perfect warming-up wintertime dish.
All in all, I'm pretty sure we gained a total of 10 pounds between us this weekend (all. the. carbs!!!). BUT- besides a few extra pounds, we gained a far better cultural understanding of what tortellini (or tortelloni) means to the people of Italy (and Bologna specifically). Totally worth the tight jeans!
|Brett eating his first Tortellini en Brodo from La Traviata.
Notice the size!
|Spinach ricotta tortelloni, exactly what I thought Tortellini would look like.
Also from La Traviata. SO, so good :)
|Brett excited to dig into his final tortellini dish of the weekend.
(I swear these eating events were on two different days, despite Brett's repeat shirt performance...)
|I couldn't wait to eat my dish so much
that I forgot all about taking a picture before I messed it up!
This was pumpkin stuffed tortelloni
in a cream and balsamic sauce from La Lumira.
|A typical pasta shop window in Bologna.
Tortellini galore!


text: Free Research in Brief | November 01, 2015 Online Rehabilitation Programs Show Promise for Hearing-Aid Users Author Notes © 2015 American Speech-Language-Hearing Association Article Information Hearing Aids, Cochlear Implants & Assistive Technology / Research in Brief Research in Brief | November 01, 2015 Online Rehabilitation Programs Show Promise for Hearing-Aid Users The ASHA Leader, November 2015, Vol. 20, online only. doi:10.1044/leader.RIB4.20112015.np The ASHA Leader, November 2015, Vol. 20, online only. doi:10.1044/leader.RIB4.20112015.np View Article Figures Tables Supplemental Data Supplements Multimedia Share Email Twitter Facebook Pinterest Tools Get Citation Citation Online Rehabilitation Programs Show Promise for Hearing-Aid Users. The ASHA Leader, 20(11), online only. doi: 10.1044/leader.RIB4.20112015.np. Download citation file: RIS (Zotero) EndNote BibTex Medlars ProCite RefWorks Reference Manager © 2018 American Speech-Language-Hearing Association × Alerts User Alerts You are adding an alert for: Online Rehabilitation Programs Show Promise for Hearing-Aid Users You will receive an email whenever this article is corrected, updated, or cited in the literature. You can manage this and all other alerts in My Account The alert will be sent to: Confirm × Sign In or Create a free account to receive alerts. × Internet-based rehabilitation programs could provide positive outcomes for experienced hearing-aid users with moderate hearing loss, finds new research from Sweden's Linköping University and hearing-aid manufacturer Oticon's Eriksholm Research Centre in Denmark. In two trials gauging the effectiveness of online rehabilitation, the scientists, led by Eriksholm's Elisabet Sundewall Thorén, found that the Internet may be used to deliver rehabilitation that positively affects users' activity and participation. The developers hope that the online method could give patients more access and increase their motivation to seek proper hearing health care. In a two-part study published in the American Journal of Audiology, a total of 134 adults who wore hearing aids for moderate hearing loss but still experienced residual hearing problems were split into four groups in two trials. Two intervention groups completed a five-week online rehabilitation program, while the other two served as controls. Intervention participants learned about hearing, hearing aids, communication strategies and hearing tactics; read materials; completed assessments; and had weekly contact with audiologists. The first trial's control group had access to an online discussion forum where participants could discuss weekly topics with others in the group, but they had no access to audiologists. The second trial's control group members were wait-listed as volunteers to complete the program later after the original group trial was finished, and did not have access to the forum. The volunteers evaluated the program through self-reports before and immediately after the study, as well as a few months after. The researchers, measuring the results through the Hearing Handicap Inventory of the Elderly (HHIE), found that both the intervention and control participants from the first trial showed improvement immediately after the study, though the intervention group had significantly more improvement. But after six months, although both groups maintained improvement, there was no difference between the two. In the second trial, the intervention group showed significant increases in activity and participation on the HHIE, while control participants with no access to an online forum to chat with peers showed no gains. The results suggest online interaction both with audiologists and with peers can positively affect participants' activity and participation, the authors note. However, they mention limitations surrounding volunteers, who were recruited through newspaper advertisements and, therefore, were acting on their own interests and motivations. They were also well-educated and had worn hearing aids for an average of eight years. 0 Comments Submit a Comment Submit A Comment Name Comment Title Comment Could not validate captcha. Please try again. You have entered an invalid code Submit Cancel Thank you for submitting a comment on this article. Close This feature is available to Subscribers Only Sign In or Create an Account × FROM THIS ISSUE November 2015 Volume 20, Issue 11 ‹ Issue › Peruse what's new on Leader Live! Why Use Literary Interventions for Diverse Populations When Sam Found Language Tips for Making a Successful Cleft Palate Team Referral ADVERTISING DISCLAIMER|ADVERTISE WITH US Related Articles Teleaudiology Services for Rehabilitation With Hearing Aids in Adults: A Systematic Review Journal of Speech, Language, and Hearing Research, July 2018, Vol. 61, 1831-1849. doi:10.1044/2018_JSLHR-H-16-0397 Teleaudiology Model Considerations SIG 18 Perspectives on Telepractice, March 2014, Vol. 4, 4-10. doi:10.1044/teles4.1.4 Experience, Attitudes, and Competencies of Audiologic Support Personnel in a Rehabilitation Hospital American Journal of Audiology, October 1998, Vol. 7, 26-31. doi:10.1044/1059-0889(1998/020) A Family With Autosomal-Dominant Progressive Sensorineural Hearing LossRehabilitation and Counseling American Journal of Audiology, March 1996, Vol. 5, 23-32. doi:10.1044/1059-0889.0501.23 This Journey of Mine SIG 7 Perspectives on Aural Rehabilitation and Its Instrumentation, November 2014, Vol. 21, 46-55. doi:10.1044/arri21.2.46 ADVERTISING DISCLAIMER|ADVERTISE WITH US Related Topics Hearing Aids, Cochlear Implants & Assistive Technology


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First off, is he spending time with other people - or women?
If so, you have a legitimate right to know what's going on with him. He cannot be seeing or spending time with other women without telling you why. This is a violation of rights within a marriage. Any agreement that is monogamous within two people automatically assumes that each partner must completely divulge his or her activities with other people.
Sorry if that got a little technical. The bottom line is: he needs to tell you who he's spending time with, either online, or out in the real world. If he doesn't, you have reason to suspect him of cheating.
Secondly, does he seem more distant from you emotionally?
If he does, you've got more reason to wonder what's up with his romantic life. You can't really know if he's cheating on you for sure by spying on him or anything like that, and really, that just adds fuel to the fire.
When you suspect him of cheating because he's emotionally distant you need to:
1. Question him about his activities. If he acts suspicious or dodgy, you know something else is going on.
2. If he refuses to answer you, there's a bigger problem in your marriage: lack of communication.
Thirdly, and perhaps most importantly, if you think your husband is cheating on your, or you suspect he's being unfaithful in any way, this indicates a problem in your marriage. Whether he is or isn't, there is a problem.
Clearly, you feel a need isn't being met. He's not giving you enough attention/appreciation. He's not trusting you, and not spending enough time with you.
He may feel you are some way not meeting his needs either. So the two of you need to talk. Get your feelings out in the open. One way or another, avoiding the problem won't help; you need to actually get together and speak in a quiet, non-confrontational way.
Leave your emotions at the door and set aside a quiet time to speak about what's going on in each other's lives.
Want to learn more about getting your husband back if you suspect him of cheating?


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Other color and design options are available on the link above.
$1 from the sale of each item goes directly to our schools through the SAISD Foundation. All orders are places with HV Tess directly, shipped to the SAISD Foundation offices, and delivered to SAISD staff via the SAISD Pony. Alumni who are not employees can pick up their items at the SAISD offices.
Purchase a personalized brick and leave your mark at Alamo Stadium. Legacy bricks are a great way to honor your favorite teacher, coach, band director, graduating senior or alumnus. See samples of recently installed bricks below. To order your brick paver, email firstname.lastname@example.com with your three lines of text (not to exceed 16 letters in each mine) and she will reply with an invoice for $100 payable by EFT or credit card. Checks can also be mailed to SAISD Foundation 2411 San Pedro, San Antonio, Texas 78212. You can also contribute $100 on our online donation site on our Donate page and type "brick" in the "honor of" line.


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text:
Why is my device so slow and freezing up all the time?
My tablet runs at a snail's pace. I tried closing all apps and restarting the device, but nothing changed. It's ridiculously slow. It takes like 5 minutes to open up the web browser app and nearly 30 minutes just to check my email. Sometimes it completely freezes up too and I have to power down and restart all over again. This is really frustrating. Does anybody know what to do?
Is this a good question?


text: For example, my Droid 2 came with Swype pre-installed and I'd like to know how I can update it? Since it came with the phone and the Market doesn't detect it (I don't even see Swype on there... I thought you could buy it?), how do you get updates? Just like Gmail, Facebook, etc. was installed, if you go to the Market it doesn't detect that you have it installed, so you install it again and then receive the updates. When you install it from the Market, does it just overwrite the app and act like it wasn't pre-installed? I've looked for an answer to this with no luck. I hope some of you guys can answer this! I really want new features/fixes to the apps that came with my Droid 2! Thanks!


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Three months into development, Hapa Games' Ascendant is shaping up to be an impressive brawler-roguelike. The Indie Mine goes hands-on with an early demo.
Love the preview guys, keep it up!
N4G is a community of gamers posting and discussing the latest game news. It's part of NewsBoiler, a network of social news sites covering today's pop culture.


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FREE DOWNLOAD HyperVRE software
Finding-the-right-method-for-healing---chinese-medicine By Alien Sheng Chinese Medicine Hierarchy of MedicineTraditional Chinese medicine is a variety of medical practices originating in China that developed over several thousand years. These practices include theories, diagnosis and treatments and are not based on the typical ideas and facts that you would see in every day doctor's offices.The philosophy of Chinese medicine is based on the mental and physical bodies being in tune with the spiritual being. Energy, known as Qi, is allowed to move through the body unrestricted when all three of these are aligned. If you are looking for your own method to using Chinese medicine, you can take several approaches.Chinese medicine consists of eight different methods that are used for healing and, depending on a person's Qi, each of these methods can be used simultaneously with others. None of these methods are invasive, unlike Western medicine, and have very low side effects. A combination of these can be tried to find the ones that work best for you.1. Chinese Herbal Medicine2. 3. Die-da or Tieh Ta4. Chinese Food Therapy5. Tui-na - massage therapy6. Qigong and related breathing and meditation exercise7. Physical exercise such as T'ai Chi Ch'uan and other Chinese Martial Arts8. Mental health therapy such as Feng ShuiSeveral of the methods that are used in Chinese medicine are self-administered and you can research what is needed and find the required solution or you. Meditation, Qigong, exercise and changing your diet to balance out nutrition in a different form are common methods that can be used by anyone in order to smooth the progress of healing. Practicing exercises as an ancient form to move energy is also common and are used as a self-administered
method.The second category of practices are the types of healing that are administered by a practitioner who has studied Chinese Medicine. If you still are having problems healing, you can use these in order to get the proper alignment. Of these Chinese medicine is an alternative and holistic approach to helping no matter what form of healing therapy you feel that you need. Discovering the right type of Chinese medicine is an easy place to start as an alternative to going to the doctor if you are aspiring towards better energy levels or feeling ill.
Article Source: http://www.upublish.info
About the Author:Alien ShengAlien writes for Health tips . He also writes for eye stye and healing herbs
Your email is safe with us


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WHITSON, TEXAS. Whitson is twenty miles southeast of Gatesville in the eastern corner of Coryell County. It was named for Numa M. Whitson, who moved to Coryell County in the mid-1870s. A post office began operation at Whitson in 1891, but it was discontinued in 1901, and mail for residents was sent to Moody in McLennan County. At one time Whitson had two cotton gins and a general store. The community reported a population of forty-two from the 1930s through the 1960s and thirty from the 1970s through 2000.
BIBLIOGRAPHY:Coryell County Genealogical Society, Coryell County, Texas, Families, 1854–1985 (Dallas: Taylor, 1986). John J. Germann and Myron Janzen, Texas Post Offices by County (1986). Frank E. Simmons, History of Coryell County (Gatesville, Texas: Coryell County News, 1936).
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All copyrighted materials included within the Handbook of Texas Online are in accordance with Title 17 U.S.C. Section 107 related to Copyright and "Fair Use" for Non-Profit educational institutions, which permits the Texas State Historical Association (TSHA), to utilize copyrighted materials to further scholarship, education, and inform the public. The TSHA makes every effort to conform to the principles of fair use and to comply with copyright law.
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If you wish to use copyrighted material from this site for purposes of your own that go beyond fair use, you must obtain permission from the copyright owner.
The following, adapted from the Chicago Manual of Style, 15th edition, is the preferred citation for this article.Handbook of Texas Online, Vivian Elizabeth Smyrl, "WHITSON, TX," accessed December 16, 2018, http://www.tshaonline.org/handbook/online/articles/hnw45.
Uploaded on June 15, 2010. Published by the Texas State Historical Association.
For more information about towns and counties including physical features, statistics, weather, maps and much more, visit the Town Database on TexasAlmanac.com!
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- This blog post was originally published on ITSecurityCareer.com.
In July of 2011, the unemployment rate reported by information security analysts was a striking 0%. Not only were information security analysts reporting steady employment, they even reported an increase of 6,000 jobs between the first and second quarter of the same year. Two and a half years later, the Pentagon announced that it planned to add thousands of jobs of new cybersecurity jobs.
Sounds like a great time to be employed in the field of information security, doesn't it?
Understand this: a career as an information security professional isn't easy. Aspiring infosec professionals struggle to break in to the industry, unsure of what skills they need or how to attain those skills. The lucky few who do break into the industry find themselves in fast-paced, constantly changing industry, where the quest for knowledge is constant, as is the need to sharpen your skills.
It's a busy, active, frequently stressful career, and most information security professionals wouldn't change it for the world.
But how does someone outside of the field land a job in information security?
First and foremost, aspiring information security professionals need to understand and be able to explain the foundational concepts of information security. When you find yourself in a job interview with a security manager, you'll need to be able to explain the CIA triad, the concept of defense-in-depth, and the step-by-step process that you would follow if you were tasked with securing a system or application.
Once you have a solid grasp of basic information security concepts, you need to know which information security job is right for you. Infosec professionals aren't all cut from the same cloth. Some want to be heads down technicians, hacking away at target systems and finding ways around existing controls. Others want to spend their time writing policies and procedures, ensuring that the security of their organization is sustained through consistent, repeatable procedures. Other information security professionals want to interact with people on the business side of the organization, identifying security requirements and making the case for information security controls when the value of those controls isn't readily apparent to non-security employees.
A job applicant with a basic understanding of information security frameworks and standards will send a clear message to the hiring manager that he or she understands what external compliance requirements will impact a retail organization versus a home healthcare provider. That same hiring manager is likely to be impressed by a job applicant who comes to the interview already speaking the organization's internal security language.
For the more technically-oriented positions, job applicants will be expected to demonstrate a hands-on understanding of some of the more common information security tools. If a hiring manager asks you about Nmap, Wireshark, or BackTrack Linux, and you respond with a blank stare, that hiring manager is going to wonder how serious you are about the job.
Finally, an aspiring information security professional who already has one or more industry certifications will have a much easier time getting through the HR screening process and making it to the interview with the hiring manager. While a certification doesn't automatically make you a security professional, it does send a message that you've studied the material and that you've retained an understanding of what you studied. More importantly, when you want to make the move to a senior level information security role, the right certifications speak volumes.
When you feel you're ready to begin applying for information security jobs, visit the job board to see what jobs are currently available in each state. Narrow down your search to positions that fit your interests and your personality, and then submit your application.
Good luck!


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If eating healthier/more organically is on your list of "accomplishments" for 2011, here's a great deal from Whole Foods. Choose from five different gift boxes at half off today only -- as low as $20 shipped to your doorstep! The Ciao Down Italian gift box pictured above is priced at just $20 shipped, but you'll also find four other boxes priced from $25 to $30.
Note: If you're new to Living Social, register first with this link to receive a $5 credit toward your first purchase making these $15 to $25 shipped!
Here's how:
- Login to Living Social.
- Select Dayton to find this offer.
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These would make fantastic care packages for college students that are a touch homesick after the holidays too!
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A Time of Transition.
The 1960s were a time of transition in every aspect of American life, and the world of taste and fashion was no exception. To move from conservative Jacqueline Kennedy dress suits, large American- made cars with tail fins and gargantuan engines, built-to-last American modern sofas, and pure-form glass-box buildings to thigh-high miniskirts and dirty blue jeans, small foreign cars, pink disposable plastic chairs, and gaudy Las Vegas-inspired building facades in a matter of one short decade is a phenomenon that only a society charged with a sense of restlessness and turmoil could experience. Those volatile changes in taste and fashion, of course, mirrored what was happening in society as a whole.
The result of America's victory in World War II was an unprecedented confidence in being superior to the people of every other nation in the world. The postwar years in the United...
This section contains 2,332 words
(approx. 8 pages at 300 words per page)


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Nordic Association for Romantic Studies 2015 : Rethinking Cultural Memory 1700-1850
|Link: http://rethinkingculturalmemory.ku.dk/
Call For Papers
The Nordic Association for Romantic Studies (NARS) is pleased to announce the Call for Papers for the international conference 'Rethinking Cultural Memory 1700-1850'.
The conference will take place at Copenhagen University, Denmark, Friday 4 – Saturday 5 December 2015. The deadline for submitting a proposal is 15 July.
The period 1700-1850 saw the birth of the modern nation state and of the concept of national/regional identities based on ethnicity, language, cultural memory, and literary heritage. The romantic and post-romantic era in Europe was a watershed when a neglected vernacular heritage was processed from one medium to another. Poetry, novels, and painting were created on the basis of old manuscript or oral traditions. At the same time, historical and antiquarian scholarship began to place new emphasis on the idea of vernacular traditions. In what sense was the collecting of ancient tradition an 'invention' conceived from within a romantic paradigm? How does it affect understandings of national traditions today?
Plenary Speakers
- William St Clair (Senior Research Fellow, University of London)
Author of The Reading Nation in the Romantic Period
- Ann Rigney (University of Utrecht)
Convenor of Utrecht Memory Studies and NITMES (Network in Transnational Memory Studies)
- Joep Leerssen (University of Amsterdam)
Coordinator of SPIN (Study Platform on Interlocking Nationalisms)
- Susanna Pettersson Director of Ateneum Art Museum / the Finnish National Gallery.
Adjunct Professor in museology at the University of Jyväskylä, Finland. Editor in chief of several publications, including Collections Mobility, A Way Forward for Museum in Europe (2010)
We seek to engage with a wide range of approaches and therefore invite proposals from disciplines including (but not limited to) literary and art history, antiquarianism, museology, theatre, and cultural history.
Possible topics include:
• Visual arts and the culture of memory,
• Romantic artists and their construction of national 'memory'. What were the exchanges? What were the competitions?
• Analyses of Europe's bibliographic networks (personal correspondence, international booksellers, smuggled books, translations, adaptations etc.),
• The dissemination of interest in the past across European borders. What constituted the cultural transfers?
• Intermediality between cultural fields, various media, or intellectual and artistic expressions,
• The regional context of using the past to construct ideas of community (as a challenge to the 'national'),
• The remediation of medieval manuscripts in new literary, historical, pictorial, and theatrical works,
• The revival of folkish forms – ballads, folklore, songs, mythology,
• The grey area between genuine historical reconstruction and forgery.
Proposal ideas that extend beyond these thematic areas are also welcome.
We are inviting proposals for paper presentations (20 minutes), panels, workshops/interactive sessions. The conference will be in English.
Please send the following information to email@example.com:
1. Paper title and abstract/proposal for either individual paper (max. 300 words) or panel (max. 500 words)
2. Brief vita or biography (max. one page)
3. Complete personal information: name, department, academic affiliation (if any), and email address.
Please note that the conference will offer several venues for publication of revised and peer-reviewed papers.
Three travel bursaries of €250 are available for PhD students or postdocs. Application information is available on the conference webpage.
Conference Details
To learn more about the conference, including speakers, session formats, venue, registration and hotels in Copenhagen, please see the website http://rethinkingculturalmemory.ku.dk/.