DocumentCode :
2668461
Title :
Automatic speaker recognition using Gaussian mixture models
Author :
Roberts, William J.J. ; Willmore, Jonathan P.
Author_Institution :
Div. of Inf. Technol., Defence Sci. & Technol. Organ., Salisbury, SA, Australia
fYear :
1999
fDate :
1999
Firstpage :
465
Lastpage :
470
Abstract :
We describe the automatic identification of speakers from their voices. This process has an application in forensics and in voice actuated security systems. The implementation and theoretic underpinnings of a statistical based speaker recognition system are presented in addition to the performance of the system on standard speech corpora. In a speaker verification experiment, the system yielded an equal error rate of under 5% when identical microphones are used for testing and training
Keywords :
Gaussian processes; speaker recognition; statistical analysis; Gaussian mixture models; automatic voice recognition; speaker recognition; speaker verification; speech corpora; statistical analysis; Application software; Australia; Cepstral analysis; Forensics; Hidden Markov models; NIST; Noise robustness; Speaker recognition; Speech recognition; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Decision and Control, 1999. IDC 99. Proceedings. 1999
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-5256-4
Type :
conf
DOI :
10.1109/IDC.1999.754201
Filename :
754201
Link To Document :
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