DocumentCode :
2999027
Title :
Automatic recognition of gender by voice
Author :
Childers, D.G. ; Wu, Ke ; Bae, K.S. ; Hicks, D.M.
Author_Institution :
Dept. of Electr. Eng., Florida Univ., Gainesville, FL, USA
fYear :
1988
fDate :
11-14 Apr 1988
Firstpage :
603
Abstract :
Two algorithms are given for automatically recognizing the gender of a speaker using acoustic parameters extracted from the speaker´s speech. The speech data used for developing the algorithms were taken from a large data set. Only acoustic parameters for vowels and fricatives were used to develop and test the algorithms because the authors wanted the gender classification to be achieved rapidly using only a brief data record
Keywords :
speech analysis and processing; speech recognition; acoustic parameters; algorithms; fricatives; gender classification; speech data; speech recognition; voice recognition; vowels; Algorithm design and analysis; Automatic speech recognition; Cepstral analysis; Loudspeakers; Pareto analysis; Pattern analysis; Speech analysis; Speech recognition; Speech synthesis; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.1988.196657
Filename :
196657
Link To Document :
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