Research on Speech Emotion Recognition Based on Weighted Euclidean Distance

Chen Chen Huang; Wei Gong; Wen Long Fu; Dong Yu Feng

doi:10.4028/www.scientific.net/AMM.543-547.2192

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Research on Speech Emotion Recognition Based on...

Research on Speech Emotion Recognition Based on Weighted Euclidean Distance

Abstract:

As the most important medium of communication in human beings life, speech carries abundant emotional information. In recent years, how to recognize the speakers emotional state automatically from the speech is attracting extensive attention of researchers in various fields. In this paper, we studied the method of speech emotion recognition. We collected a total of 360 sentences from four speakers with the emotional statement about happiness, anger, surprise, sadness, and extracted eight emotional characteristics from these voice data. Contribution analysis method is proposed to determine the value of emotion characteristic parameters. We also have used the weighted Euclidean distance template matching to identify the speech emotion, got more than 80% of the average emotional recognition rate.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

2192-2195

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.2192

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Online since:

March 2014

Authors:

Chen Chen Huang*, Wei Gong, Wen Long Fu, Dong Yu Feng

Keywords:

Emotion Recognition, Emotional Characteristics, Euclidean Distance, Hamming Window

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