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dc.contributor.authorMonte Moreno, Enrique
dc.contributor.authorArqué, Ramón
dc.contributor.authorMiro, Xavi
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2017-04-20T14:18:47Z
dc.date.available2017-04-20T14:18:47Z
dc.date.issued1998
dc.identifier.citationMonte, E., Arqué, R., Miro, X. A VQ based speaker recognition system based in histogram distances. Text independent and for noisy environements. A: International Conference on Spoken Language Processing. "ICSLP 98: the 5th International Conference on Spoken Language Processing; incorporating the 7th Australian International Speech Science and Technology Conference; Sydney Convention Centre, Sydney, Australia, 30th November-4th December 1998". Sidney: Robert H. Mannel and Jordi Robert-Ribes, 1998, p. 185-188.
dc.identifier.isbn1 876346 17 5
dc.identifier.urihttp://hdl.handle.net/2117/103585
dc.description.abstractIn speaker recognition systems based on VQ, normally each speaker is assigned a codebook, and the classification is done by means of the a distortion distance of the utterance computed by means of each codebook. In [1] we proposed a system which instead of having a codebook for each speaker, had only one codebook for all the speakers, and for each speaker one histogram. This histogram was the occupancy rate of each codeword for a given speaker. This means that the information of the histogram of a given speaker is the probability that the speaker utters the information related to the codeword. So we approximated the pdf of each speaker by the normalized histogram. In this paper we present an exhaustive study of different measures for comparing histograms: Kullbach-Leiber, logdifference of each probability, geometrical distance, and the Euclidean distance. We have done also an exhaustive study of the properties of the system for each distance in the presence of noise (white and colored), and for different parameterizations: LPC, MFCC, LPC-Cepstrum-OSA (One sided autocorrelation sequence), LCP-Cepstrum. (Cepstrum with/without liftering). As the combination of experiments was high, the conclusions were drawn after an analisis of variance (ANOVA), and T-tests. Thus the conclusions, with significance levels, can be drawn about the differences and interactions between kind of. distance, parametrizacion, kind of noise and level of noise.
dc.format.extent4 p.
dc.language.isoeng
dc.publisherRobert H. Mannel and Jordi Robert-Ribes
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.lcshTelecommunication
dc.titleA VQ based speaker recognition system based in histogram distances. Text independent and for noisy environements
dc.typeConference report
dc.subject.lemacTelecomunicació
dc.contributor.groupUniversitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
local.identifier.drac2433473
dc.description.versionPostprint (published version)
local.citation.authorMonte, E.; Arqué, R.; Miro, X.
local.citation.contributorInternational Conference on Spoken Language Processing
local.citation.pubplaceSidney
local.citation.publicationNameICSLP 98: the 5th International Conference on Spoken Language Processing; incorporating the 7th Australian International Speech Science and Technology Conference; Sydney Convention Centre, Sydney, Australia, 30th November-4th December 1998
local.citation.startingPage185
local.citation.endingPage188


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