Digital Speech; Coding for Low Bit Rate Communication Systems
Digital Speech; Coding for Low Bit Rate Communication Systems
Mood tracking of musical compositions
ISMIS'12 Proceedings of the 20th international conference on Foundations of Intelligent Systems
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In order to track continuous changes of someone's emotional expressions in Mandarin dialogue, we elaborated an emotion recognition system in continuous Mandarin speech. A new segmentation method was used to estimate the emotional turning points in a dialogue by dividing the utterance into several independent segments, each of which contains a single emotional category. Five basic emotional categories, including anger, happiness, sadness, boredom and neutral, can be recognized in our proposed method. Here, the speech features, MFCC and LPCC, are used in the proposed method. The experimental results show that the new recognition method can provide satisfactory results.