Publication | Closed Access
STBU System for the NIST 2006 Speaker Recognition Evaluation
25
Citations
11
References
2007
Year
Unknown Venue
EngineeringMachine LearningHealth SciencesPattern RecognitionMulti-speaker Speech RecognitionBiometricsSpeaker Recognition SystemSpeaker DiarizationSpeaker Recognition EvaluationRobust Speech RecognitionStbu SystemSpeech ProcessingStbu 2006Speech PerceptionSpeech CommunicationSpeaker RecognitionSpeech Recognition
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.
| Year | Citations | |
|---|---|---|
Page 1
Page 1