Speaker recognition improvement using blind inversion of distortions

Faundez-Zanuy, Marcos; Solé-Casals, Jordi

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dc.contributor	Universitat de Vic. Escola Politècnica Superior
dc.contributor	Universitat de Vic. Grup de Recerca en Tecnologies Digitals
dc.contributor	European Signal Processing Conference (12è : 2004: Viena)
dc.contributor	EUSIPCO 2004
dc.contributor.author	Faundez-Zanuy, Marcos
dc.contributor.author	Solé-Casals, Jordi
dc.date.accessioned	2014-03-21T13:49:33Z
dc.date.available	2014-03-21T13:49:33Z
dc.date.created	2004
dc.date.issued	2004
dc.identifier.uri	http://hdl.handle.net/10854/2802
dc.description.abstract	In this paper we propose the inversion of nonlinear distortions in order to improve the recognition rates of a speaker recognizer system. We study the effect of saturations on the test signals, trying to take into account real situations where the training material has been recorded in a controlled situation but the testing signals present some mismatch with the input signal level (saturations). The experimental results shows that a combination of several strategies can improve the recognition rates with saturated test sentences from 80% to 89.39%, while the results with clean speech (without saturation) is 87.76% for one microphone.	ca_ES
dc.format	application/pdf
dc.format.extent	4 p.	ca_ES
dc.language.iso	eng	ca_ES
dc.rights	Aquest document està subjecte a aquesta llicència Creative Commons	ca_ES
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/es/	ca_ES
dc.subject.other	Veu, Processament de	ca_ES
dc.title	Speaker recognition improvement using blind inversion of distortions	ca_ES
dc.type	info:eu-repo/semantics/conferenceObject	ca_ES
dc.rights.accessRights	info:eu-repo/semantics/openAccess	ca_ES