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

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

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.

Klíčová slova

Speaker recognition,GMM, SVM, eigenchannel, NAP.

Autoři

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

Rok RIV

2007

Vydáno

19. 1. 2007

Nakladatel

IEEE Signal Processing Society

Místo

Honolulu

ISBN

1-4244-0728-1

Kniha

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

Strany od

221

Strany do

224

Strany počet

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"
}