Title :
STBU System for the NIST 2006 Speaker Recognition Evaluation
Author :
Matejka, R. ; Burget, Lukas ; Schwarz, P. ; Glembek, O. ; Karafiat, Martin ; Grezl, Frantisek ; Cernocky, Jan ; van Leeuwen, David A. ; Brummer, N. ; Strasheim, A.
Author_Institution :
Fac. of Inf. Technol., Brno Univ. of Technol., Czech Republic
Abstract :
This paper describes STBU 2006 speaker recognition system, which performed well in the NIST 2006 speaker recognition evaluation. STBU is consortium of 4 partners: Spescom DataVoice (South Africa), TNO (Netherlands), BUT (Czech Republic) and University of Stellenbosch (South Africa). The primary system is a combination of three main kinds of systems: (1) GMM, with short-time MFCC or PLP features, (2) GMM-SVM, using GMM mean supervectors as input and (3) MLLR-SVM, using MLLR speaker adaptation coefficients derived from English LVCSR system. In this paper, we describe these sub-systems and present results for each system alone and in combination on the NIST Speaker Recognition Evaluation (SRE) 2006 development and evaluation data sets.
Keywords :
Gaussian processes; speaker recognition; support vector machines; English LVCSR system; GMM; GMM mean supervectors; GMM-SVM; MLLR-SVM; NIST 2006 Speaker Recognition Evaluation; PLP features; STBU system; short-time MFCC; speaker adaptation coefficients; Africa; Gaussian processes; Maximum likelihood linear regression; Mel frequency cepstral coefficient; NIST; Speaker recognition; Speech recognition; Sun; Support vector machines; Testing; GMM; NAP; SVM; Speaker recognition; eigenchannel;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0727-3
DOI :
10.1109/ICASSP.2007.367203
