摘要: This paper presents an automatic gender recognition technique based on speaker's voice. Utterances spoken by same-gender speakers were used to train a text-independent hidden Markov model. Female and male models are continuous models. Experiments the TI-46 database containing 46 words 8 female showed acceptable rate.
acm.org 参考文章(7)
R. Vergin, A. Farhat, D. O'Shaughnessy, Robust gender-dependent acoustic-phonetic modelling in continuous speech recognition based on a new automatic male/female classification international conference on spoken language processing. ,vol. 2, pp. 1081- 1084 ,(1996) , 10.1109/ICSLP.1996.607793
X.D. Huang, K.F. Lee, H.W. Hon, M.Y. Hwang, Improved acoustic modeling with the SPHINX speech recognition system international conference on acoustics, speech, and signal processing. pp. 345- 348 ,(1991) , 10.1109/ICASSP.1991.150347
Biing H Juang, Tsuhan Chen, None, The past, present, and future of speech processing IEEE Signal Processing Magazine. ,vol. 15, pp. 24- 48 ,(1998) , 10.1109/79.671130
S. Anderson, N. Liberman, E. Bernstein, S. Foster, E. Cate, B. Levin, R. Hudson, Recognition of elderly speech and voice-driven document retrieval international conference on acoustics speech and signal processing. ,vol. 1, pp. 145- 148 ,(1999) , 10.1109/ICASSP.1999.758083
E.S. Parris, M.J. Carey, Language independent gender identification international conference on acoustics speech and signal processing. ,vol. 2, pp. 685- 688 ,(1996) , 10.1109/ICASSP.1996.543213
Peter E. Hart, Richard O. Duda, Pattern classification and scene analysis A Wiley-Interscience Publication. ,(1973)
Xuedong Huang, Mervyn Jack, Yasuo Ariki, Hidden Markov Models for Speech Recognition ,(1991)