Comparison of Male/Female Speech Features and Improvement of Recognition Performance by Gender-Specific Speech Recognition

남성과 여성의 음성 특징 비교 및 성별 음성인식에 의한 인식 성능의 향상

  • 이창영 (동서대학교 정보시스템공학부)
  • Received : 2010.10.01
  • Accepted : 2010.12.10
  • Published : 2010.12.31

Abstract

In an effort to improve the speech recognition rate, we investigated performance comparison between speaker-independent and gender-specific speech recognitions. For this purpose, 20 male and 20 female speakers each pronounced 300 isolated Korean words and the speeches were divided into 4 groups: female, male, and two mixed genders. To examine the validity for the gender-specific speech recognition, Fourier spectrum and MFCC feature vectors averaged over male and female speakers separately were examined. The result showed distinction between the two genders, which supports the motivation for the gender-specific speech recognition. In experiments of speech recognition rate, the error rate for the gender-specific case was shown to be less than50% compared to that of the speaker-independent case. From the obtained results, it might be suggested that hierarchical recognition of gender and speech recognition might yield better performance over the current method of speech recognition.

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