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
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