Recently, speech recognition and synthesis techniques have made remarkable progress and are applied to various products. Computers will be able to have a dialogue equally with a person in the near future.
Emotion is one of such information.
From 306 utterances produced by 2 female speakers, we analyzed utterances that subjects can recognize their intended emotions correctly. The comparison between fundamental frequency contours for each emotion indicates that they show degree of excitement rather than class of emotion. It is also found that speakers don't express emotion equally through an utterance. The observation of spectral envelopes suggests that spectral slant shows degree of pleasant-unpleasant. Finally, we investigated relations between excitement features and pleasant- unpleasant feature, as cue to classify emotions in speech.