Prosody Analysis/Synthesis Using Probabilistic Models and   Linguistic Theory
{'Code': '05020000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'IIS', 'LongName': 'Div Of Information & Intelligent Systems'}}
{'SignBlockName': 'MARY E EBBOTT', 'PO_EMAI': None, 'PO_PHON': None}
The objectives of this project are (1) to develop a                        computational model of prosody for speech synthesis and analysis,               and (2) evaluate this model in speech synthesis and as a                        potential knowledge source for speech recognition and                           understanding.                                                                       The approach is multidisciplinary, combining linguistic                    theory, speech knowledge and statistical modeling technique.  The               initial model is based on FM radio newscasting speech.  The                     research effort includes:  design and collection of an appropiate               database, hand labeling of prosodic units and measurement of                    their acoustic correlates in part of the database, development of               techniques to automatically segement and label prosodic units,                  implementation and evaluation of the model for analysis and                     synthesis.
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[{'Code': '684000', 'Text': 'ROBOTICS'}, {'Code': '684500', 'Text': 'HUMAN COMPUTER INTER PROGRAM'}, {'Code': '912000', 'Text': 'CROSS-DIRECTORATE PROGRAMS'}]
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1988&All=true', 'xml': '8805680.xml'}