DocumentCode :
431322
Title :
A Session-GMM Generative Model Using Test Utterance Gaussian Mixture Modeling for Speaker Verification
Author :
Aronowitz, Hagai ; Burshtein, David ; Amir, Amihood
Author_Institution :
Dept. of Comput. Sci., Bar-Ilan Univ., Ramat-Gan, Israel
Volume :
1
fYear :
2005
fDate :
March 18-23, 2005
Firstpage :
733
Lastpage :
736
Keywords :
Gaussian processes; error statistics; signal classification; speaker recognition; statistical analysis; GMM; computational efficiency; generative statistical model; recognition error rate; speaker indexing; speaker recognition; speaker verification; test utterance Gaussian mixture modeling; test utterance parameterization; Computational efficiency; Computer science; Error analysis; Fatigue; Indexing; Mood; Parametric statistics; Speaker recognition; Testing; Training data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8874-7
Type :
conf
DOI :
10.1109/ICASSP.2005.1415218
Filename :
1415218
Link To Document :
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