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Linked Open Data
Unsupervised intra-speaker variability compensation based on gestalt and model adaptation in speaker verification with telephone speech
Identificadores del recurso
http://hdl.handle.net/10533/196767
doi: 10.1016/j.specom.2007.11.005
doi: 10.1016/j.specom.2007.11.005
wos: WOS:000261284100007
eissn: 1872-7182
issn: 0167-6393
Procedencia
(LA Referencia)

Ficha

Título:
Unsupervised intra-speaker variability compensation based on gestalt and model adaptation in speaker verification with telephone speech
Descripción:
In this paper, an unsupervised intra-speaker variability compensation (ISVC) method based oil Gestalt is proposed to address the problem of limited enrolling data and noise robustness in text-dependent speaker verification (SV). Experiments with two databases show that: ISVC can lead to reductions in EER as high as 20% or 40% and ISCV provides reductions in the integral below the ROC curve between 30%, and 60%. Also, the observed improvements are independent of the number of enrolling utterances. In contrast to model adaptation methods, ISVC is memoryless with respect to previous verification attempts. As shown here, unsupervised model adaptation can lead to substantial improvements in EER but is highly dependent oil the sequence of client/impostor verification events. In adverse scenarios, such its massive impostor attacks and verification from alternated telephone line, unsupervised model adaptation might even provide reductions in verification accuracy when compared with the baseline system. In those cases, ISVC can even outperform adaptation schemes. It is worth emphasizing that ISVC and unsupervised model adaptation are compatible and the combination of both methods always improves the performance of model adaptation. The combination of both schemes can lead to improvements in EER its high its 34%. Due to the restrictions of commercially available databases for text-dependent SV research, the results presented here are based oil local databases in Spanish. By doing so, the visibility of research in Iberian Languages is highlighted. (C) 2007 Elsevier B.V. All rights reserved.
Fuente:
SPEECH COMMUNICATION
reponame:Artículos CONICYT
instname:CONICYT Chile
instacron:CONICYT
Idioma:
English
Relación:
instname: Conicyt
reponame: Repositorio Digital RI2.0
info:eu-repo/grantAgreement/Fondef/D05I10243
info:eu-repo/semantics/dataset/hdl.handle.net/10533/93477
Ámbito geográfico o temporal:
NLD
AMSTERDAM
Autor/Productor:
BECERRA-YOMA, NESTOR
MOLINA-SANCHEZ, CARLOS
GARRETON-VENDER, CLAUDIO
HUENUPAN-QUINAN, FERNANDO
Editor:
ELSEVIER SCIENCE BV
Derechos:
info:eu-repo/semantics/openAccess
Fecha:
2008
Tipo de recurso:
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
About:
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