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The paper provides a novel approach to emotion recognition from facial expression and voice of subjects. The subjects are asked to manifest their emotional exposure in both facial expression and voice, while uttering a given sentence. Facial features including mouth-opening, eye-opening, eyebrow-constriction, and voice features including, first three formants: F1, F2, and F3, and respective powers...
Three new methods of feature extraction based on time-frequency analysis of speech are presented and compared. In the first approach, speech spectrograms were passed through a bank of 12 log-Gabor filters and the outputs are averaged. In the second approach, the spectrograms were sub-divided into ERB frequency bands and the average energy for each band is calculated. In the third approach, wavelet...
A database for speaker verification of Chinese whispered speech is established. It is based on the assumption that whispers are easily affected by the environmental and speakers' emotional factors. The manuscript for the corpus considers the structure of Chinese syllables, including all the categories of the initials, finals and tones. 8 typical channels are applied to collect the speech, mainly stated...
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