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Title |
Gender Distinction Using Short Segments of Speech Signal |
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Author |
Milan Sigmund |
| Citation |
Vol. 8 No. 10 pp. 159-162 |
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Abstract |
This paper presents and discusses an approach to automatic gender distinction in a short segment of normally spoken continuous speech. In order to see which phonemes are effective for gender recognition, we analyzed individual vowels. Two different simple identifiers based on selected mel-frequency cepstral coefficients were evaluated. Using vowel phonemes, we achieved in short-time analysis (20 msec) a gender identification accuracy of more than 90%. Especially for vowel “a“, almost no error occurs. For text-independent analysis, the speech duration of 500 msec was sufficient to identify male/female speakers with the accuracy of more than 93%. Automatic estimation of speaker’s gender by her/his voice is an important factor to realize high-quality dialogue systems. |
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Keywords |
Speech processing, gender recognition |
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