@inproceedings{toledano-etal-2008-biosec,
title = "{B}io{S}ec Multimodal Biometric Database in Text-Dependent Speaker Recognition",
author = "Toledano, Doroteo and
Hernandez-Lopez, Daniel and
Esteve-Elizalde, Cristina and
Fierrez, Julian and
Ortega-Garcia, Javier and
Ramos, Daniel and
Gonzalez-Rodriguez, Joaquin",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Piperidis, Stelios and
Tapias, Daniel",
booktitle = "Proceedings of the Sixth International Conference on Language Resources and Evaluation ({LREC}'08)",
month = may,
year = "2008",
address = "Marrakech, Morocco",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L08-1100/",
abstract = "In this paper we briefly describe the BioSec multimodal biometric database and analyze its use in automatic text-dependent speaker recognition research. The paper is structured into four parts: a short introduction to the problem of text-dependent speaker recognition; a brief review of other existing databases, including monomodal text-dependent speaker recognition databases and multimodal biometric recognition databases; a description of the BioSec database; and, finally, an experimental section in which speaker recognition results on some of these databases are presented and compared, using the same underlying speaker recognition technique in all cases."
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<abstract>In this paper we briefly describe the BioSec multimodal biometric database and analyze its use in automatic text-dependent speaker recognition research. The paper is structured into four parts: a short introduction to the problem of text-dependent speaker recognition; a brief review of other existing databases, including monomodal text-dependent speaker recognition databases and multimodal biometric recognition databases; a description of the BioSec database; and, finally, an experimental section in which speaker recognition results on some of these databases are presented and compared, using the same underlying speaker recognition technique in all cases.</abstract>
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%0 Conference Proceedings
%T BioSec Multimodal Biometric Database in Text-Dependent Speaker Recognition
%A Toledano, Doroteo
%A Hernandez-Lopez, Daniel
%A Esteve-Elizalde, Cristina
%A Fierrez, Julian
%A Ortega-Garcia, Javier
%A Ramos, Daniel
%A Gonzalez-Rodriguez, Joaquin
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Piperidis, Stelios
%Y Tapias, Daniel
%S Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC’08)
%D 2008
%8 May
%I European Language Resources Association (ELRA)
%C Marrakech, Morocco
%F toledano-etal-2008-biosec
%X In this paper we briefly describe the BioSec multimodal biometric database and analyze its use in automatic text-dependent speaker recognition research. The paper is structured into four parts: a short introduction to the problem of text-dependent speaker recognition; a brief review of other existing databases, including monomodal text-dependent speaker recognition databases and multimodal biometric recognition databases; a description of the BioSec database; and, finally, an experimental section in which speaker recognition results on some of these databases are presented and compared, using the same underlying speaker recognition technique in all cases.
%U https://aclanthology.org/L08-1100/
Markdown (Informal)
[BioSec Multimodal Biometric Database in Text-Dependent Speaker Recognition](https://aclanthology.org/L08-1100/) (Toledano et al., LREC 2008)
ACL
- Doroteo Toledano, Daniel Hernandez-Lopez, Cristina Esteve-Elizalde, Julian Fierrez, Javier Ortega-Garcia, Daniel Ramos, and Joaquin Gonzalez-Rodriguez. 2008. BioSec Multimodal Biometric Database in Text-Dependent Speaker Recognition. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), Marrakech, Morocco. European Language Resources Association (ELRA).