Pitch targets and their realization: evidence from Mandarin Chinese
Speech Communication
How to find trouble in communication
Speech Communication - Special issue on speech and emotion
Hidden Markov model-based speech emotion recognition
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
IEEE Transactions on Computers
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Prosody conversion from neutral speech to emotional speech
IEEE Transactions on Audio, Speech, and Language Processing
Audio-Visual Affect Recognition
IEEE Transactions on Multimedia
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In this study, some research activities on expressive speech recognition and conversion will be introduced. A database consisting of five kinds of speech emotions (i.e. happiness, sadness, surprise, anger and neutral) is used. Not only those traditional features such as mfcc, plp, and pitch are studied, but also a new feature extraction method based on fisher's F-Ratio is proposed and reported. In our experiments, various combinations of these features, including their high order features are applied using GMM modeling for Mandarin expressive speech recognition. Also we presented some results from emotional speech conversion with a pitch target model.