Shift window based framework for emotional change detection of speech

Authors:
Lu Xu;Mingxing Xu
Affiliations:
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, ...;State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, ...
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 5
Year:
2009

Citing 2
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Abstract

Compared with single emotion recognition, the emotional change detection of speech has greater practical values. However, there are only few researches on this subject at present. This paper presented a basic framework for emotional change detection. Firstly, the smoothing strategy was adopted and the effect of smoothing width was also investigated to improve the correct detection rate. Then four different smoothing functions were compared and that utilizing the mean value smoothing was considered as the elementary detection method. Finally, how window width and shift step affect the correct detection rate was analyzed and time precision of elementary method was evaluated. Experimental results demonstrated that the proposed framework is feasible and effective.