<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-17T21:23:47Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2117/103585" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2117/103585</identifier><datestamp>2025-07-17T03:10:38Z</datestamp><setSpec>com_2072_1033</setSpec><setSpec>col_2072_452950</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>A VQ based speaker recognition system based in histogram distances. Text independent and for noisy environements</dc:title>
   <dc:creator>Monte Moreno, Enrique</dc:creator>
   <dc:creator>Arqué, Ramón</dc:creator>
   <dc:creator>Miro, Xavi</dc:creator>
   <dc:contributor>Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions</dc:contributor>
   <dc:contributor>Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla</dc:contributor>
   <dc:subject>Àrees temàtiques de la UPC::Enginyeria de la telecomunicació</dc:subject>
   <dc:subject>Telecommunication</dc:subject>
   <dc:subject>Telecomunicació</dc:subject>
   <dc:description>In speaker recognition systems based on VQ, normally each&#xd;
speaker is assigned a codebook, and the classification is done by&#xd;
means of the a distortion distance of the utterance computed by&#xd;
means of each codebook. In [1] we proposed a system which&#xd;
instead of having a codebook for each speaker, had only one&#xd;
codebook for all the speakers, and for each speaker one&#xd;
histogram. This histogram was the occupancy rate of each&#xd;
codeword for a given speaker. This means that the information&#xd;
of the histogram of a given speaker is the probability that the&#xd;
speaker utters the information related to the codeword. So we&#xd;
approximated the pdf of each speaker by the normalized&#xd;
histogram.&#xd;
In this paper we present an exhaustive study of different&#xd;
measures for comparing histograms: Kullbach-Leiber, logdifference&#xd;
of each probability, geometrical distance, and the&#xd;
Euclidean distance.&#xd;
We have done also an exhaustive study of the properties of the&#xd;
system for each distance in the presence of noise (white and&#xd;
colored), and for different parameterizations:&#xd;
LPC, MFCC, LPC-Cepstrum-OSA (One sided autocorrelation&#xd;
sequence), LCP-Cepstrum. (Cepstrum with/without liftering).&#xd;
As the combination of experiments was high, the conclusions&#xd;
were drawn after an analisis of variance (ANOVA), and T-tests.&#xd;
Thus the conclusions, with significance levels, can be drawn&#xd;
about the differences and interactions between kind of. distance,&#xd;
parametrizacion, kind of noise and level of noise.</dc:description>
   <dc:description>Peer Reviewed</dc:description>
   <dc:description>Postprint (published version)</dc:description>
   <dc:date>1998</dc:date>
   <dc:type>Conference report</dc:type>
   <dc:identifier>Monte, 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>
   <dc:identifier>1 876346 17 5</dc:identifier>
   <dc:identifier>https://hdl.handle.net/2117/103585</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/es/</dc:rights>
   <dc:rights>Open Access</dc:rights>
   <dc:rights>Attribution-NonCommercial-NoDerivs 3.0 Spain</dc:rights>
   <dc:format>4 p.</dc:format>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Robert H. Mannel and Jordi Robert-Ribes</dc:publisher>
</oai_dc:dc></metadata></record></GetRecord></OAI-PMH>