Emotional speech processing technology plays an important role in the improvement of HCIIn this paper,numerous speech samples of same speaker are recorded under three primary emotionsStatistical analysis is used to analyze the pitch,energy,time and the related prosodic parameters,based on which PCA methods is used to recognize emotion states and the correct rate is 9167%Combined with the emotion recognition results,results of speech recognition using DTW and pattern matching arithmetic are improvedMeanwhile,methods for modifying speech prosodic characteristics are researched to make HCI more intelligent

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.

Emotional Speech Processing in Human-Computer Speech Interface

Citations

Shift Window Based Framework for Emotional Change Detection of Speech

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