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KMID : 1022420170090040091
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Phonetics and Speech Sciences
2017 Volume.9 No. 4 p.91 ~ p.97
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Correlation analysis of voice characteristics and speech feature parameters, and classification modeling using SVM algorithm
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Park Tae-Sung
Kwon Chul-Hhong
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Abstract
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This study categorizes several voice characteristics by subjective listening assessment, and investigates correlation between voice characteristics and speech feature parameters. A model was developed to classify voice characteristics into the defined categories using SVM algorithm. To do this, we extracted various speech feature parameters from speech database for men in their 20s, and derived statistically significant parameters correlated with voice characteristics through ANOVA analysis. Then, these derived parameters were applied to the proposed SVM model. The experimental results showed that it is possible to obtain some speech feature parameters significantly correlated with the voice characteristics, and that the proposed model achieves the classification accuracies of 88.5% on average.
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KEYWORD
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voice characteristics, speech feature parameters, correlation, SVM, classification modeling
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