Discrete-time signal processing
Discrete-time signal processing
A corpus-based speech synthesis system with emotion
Speech Communication - Special issue on speech and emotion
The role of voice quality in communicating emotion, mood and attitude
Speech Communication - Special issue on speech and emotion
A review of glottal waveform analysis
Progress in nonlinear speech processing
Pitch synchronous transform warping in voice conversion
COST'11 Proceedings of the 2011 international conference on Cognitive Behavioural Systems
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Voice characteristics are influenced especially by the vocal cords and by the vocal tract. Characteristics known as voice type (normal, breathy, tense, falsetto etc.) are attributed to vocal cords. Emotion influences among others the tonus of muscles and thus influences also the vocal cords behavior. Previous research confirms a large dependence of emotional speech on the glottal flow characteristics. There are several possible ways for obtaining the glottal flow signal from speech. One of them is the decomposition of speech using the complex cepstrum into the maximum- and minimum-phase components. In this approach the maximum-phase component is considered as the open phase of the glottal flow signal. In this contribution we present experiments with the modification of the maximum-phase speech signal component with the aim to obtain synthetic emotional speech.