作者: Pavel Matejka , Lukás Burget , Petr Schwarz , Ondrej Glembek , Martin Karafiat
DOI: 10.1109/ICASSP.2007.367203
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摘要: This paper describes STBU 2006 speaker recognition system, which performed well in the NIST evaluation. is consortium of 4 partners: Spescom DataVoice (South Africa), TNO (Netherlands), BUT (Czech Republic) and University Stellenbosch Africa). The primary system a combination three main kinds systems: (1) GMM, with short-time MFCC or PLP features, (2) GMM-SVM, using GMM mean supervectors as input (3) MLLR-SVM, MLLR adaptation coefficients derived from English LVCSR system. In this paper, we describe these sub-systems present results for each alone on Speaker Recognition Evaluation (SRE) development evaluation data sets.