Mandarin emotion recognition combining acoustic and emotional point information

In this contribution, we introduce a novel approach to combine acoustic information and emotional point information for a robust automatic recognition of a speaker’s emotion. Six discrete emotional states are recognized in the work. Firstly, a multi-level model for emotion recognition by acoustic fe...

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Bibliographic Details
Published in:Applied intelligence (Dordrecht, Netherlands) Netherlands), 2012-12, Vol.37 (4), p.602-612
Main Authors: Chen, Lijiang, Mao, Xia, Wei, Pengfei, Xue, Yuli, Ishizuka, Mitsuru
Format: Article
Language:English
Subjects:
Acoustics
Artificial Intelligence
Computer Science
Emotions
Intelligence
Machines
Mandarins
Manufacturing
Mechanical Engineering
Personal computers
Processes
Recognition
Speech
Strategy
Support vector machines
Syllables
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Summary:In this contribution, we introduce a novel approach to combine acoustic information and emotional point information for a robust automatic recognition of a speaker’s emotion. Six discrete emotional states are recognized in the work. Firstly, a multi-level model for emotion recognition by acoustic features is presented. The derived features are selected by fisher rate to distinguish different types of emotions. Secondly, a novel emotional point model for Mandarin is established by Support Vector Machine and Hidden Markov Model. This model contains 28 emotional syllables which reflect rich emotional information. Finally the acoustic information and emotional point information are integrated by a soft decision strategy. Experimental results show that the application of emotional point information in speech emotion recognition is effective.
ISSN:0924-669X
1573-7497
DOI:10.1007/s10489-012-0352-1