Detail publikace

STBU system for the NIST 2006 speaker recognition evaluation

MATĚJKA, P. BURGET, L. SCHWARZ, P. GLEMBEK, O. KARAFIÁT, M. GRÉZL, F. ČERNOCKÝ, J. VAN LEEUWEN, D. BRÜMMER, N. STRASHEIM, A.

Originální název

STBU system for the NIST 2006 speaker recognition evaluation

Anglický název

STBU system for the NIST 2006 speaker recognition evaluation

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

BibTex


@inproceedings{BUT28575,
  author="Pavel {Matějka} and Lukáš {Burget} and Petr {Schwarz} and Ondřej {Glembek} and Martin {Karafiát} and František {Grézl} and Jan {Černocký} and David {van Leeuwen} and Niko {Brümmer} and Albeert {Strasheim}",
  title="STBU system for the NIST 2006 speaker recognition evaluation",
  annote="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.",
  address="IEEE Signal Processing Society",
  booktitle="Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2007)",
  chapter="28575",
  howpublished="print",
  institution="IEEE Signal Processing Society",
  year="2007",
  month="january",
  pages="221--224",
  publisher="IEEE Signal Processing Society",
  type="conference paper"
}