Publication detail

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.

Original Title

STBU system for the NIST 2006 speaker recognition evaluation

Type

article in a collection out of WoS and Scopus

Language

English

Original 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

Speaker recognition,GMM, SVM, eigenchannel, NAP.

Authors

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

RIV year

2007

Released

19. 1. 2007

Publisher

IEEE Signal Processing Society

Location

Honolulu

ISBN

1-4244-0728-1

Book

Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2007)

Pages from

221

Pages to

224

Pages count

4

URL

http://www.fit.vutbr.cz/research/groups/speech/publi/2007/matejka_stbu_icassp_2007.pdf

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",
  booktitle="Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2007)",
  year="2007",
  pages="221--224",
  publisher="IEEE Signal Processing Society",
  address="Honolulu",
  isbn="1-4244-0728-1",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2007/matejka_stbu_icassp_2007.pdf"
}