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Investigation of the acoustic features of emotional speech using a physiological articulatory model

Processing emotional speech is an important issue for speech information science and there are many studies working on this issue. However, we still have no clear knowledge to answer what are the crucial acoustic features for emotional speech, except the fundamental frequency, and how human manipulate their speech organs to generate emotional speech. In this study, we investigate the acoustic features concerned with emotional speech using a physiological articulatory model. The articulatory model is used to simulate human behaviors on production of emotional speech. The speech sound synthesized by the model is used to detect changes in acoustic features when articulatory factors concerned with emotion generation are introduced into the model. Then, the crucial acoustic parameters are identified using a listening test.