Speech emotion recognition using combination of features
Intelligent Control and Information Processing, Volume null, Issue null, 2013, Pages 523-528.
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acfcspeech recognitiongmm supervectorcepstral coefficientstatistical valuesMore(18+)
In this paper, we study how speech features' numbers and statistical values impact recognition accuracy of emotions present in speech. With Gaussian Mixture Model (GMM), we identify two effective features, namely Mel Frequency Cepstrum Coefficients (MFCCs) and Auto Correlation Function Coefficients (ACFC) extracted directly from speech si...More
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