license:cc-by-nc-4.0 modality:audio region:us
---
license: cc-by-nc-4.0
---
# StoryTTS

> [STORYTTS: A HIGHLY EXPRESSIVE TEXT-TO-SPEECH DATASET WITH RICH TEXTUAL EXPRESSIVENESS ANNOTATIONS](https://ieeexplore.ieee.org/document/10446023)

StoryTTS is a highly expressive text-to-speech dataset that contains rich expressiveness both in acoustic and textual perspective, from the recording of a Mandarin storytelling show (评书), which is delivered by a female artist, Lian Liru(连丽如). It contains 61 hours of consecutive and highly prosodic speech equipped with accurate text transcriptions and rich textual expressiveness annotations.

[Demos](https://goarsenal.github.io/StoryTTS/)

[More Info](https://github.com/X-LANCE/StoryTTS)


## File Description

* `StoryTTS.zip`: The audio data of StoryTTS.
* `transcript` : The transcripts of StoryTTS in simplified Chinese with puncuations.
  
## Note

  * The dataset is **ONLY** for research purposes.
  * The ownership of the speech data remains with the original owner. Downloading this dataset defaults to agreeing to sign our [licensing agreement](https://github.com/X-LANCE/StoryTTS/blob/main/storytts_license_agreement.pdf). lt's important to note that these materials may be removed at any time upon request from the original owner.

## Citation

```
@inproceedings{storytts,
  author={Sen Liu and Yiwei Guo and Xie Chen and Kai Yu},
  title={{StoryTTS: A Highly Expressive Text-to-Speech Dataset with Rich Textual Expressiveness Annotations}},
  year={2024},
  booktitle={ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages={11521-11525},
  doi={10.1109/ICASSP48485.2024.10446023}
}
```

