Abstract
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.
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© 2008 Springer-Verlag Berlin Heidelberg
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Yeh, JH., Pao, TL., Pai, CY., Cheng, YM. (2008). Tracking and Visualizing the Changes of Mandarin Emotional Expression. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2008. Lecture Notes in Computer Science, vol 5226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87442-3_120
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DOI: https://doi.org/10.1007/978-3-540-87442-3_120
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87440-9
Online ISBN: 978-3-540-87442-3
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