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dc.contributor.authorNadeu Camprubí, Climent
dc.contributor.authorWolf, Martin
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2014-02-04T18:36:58Z
dc.date.created2014-02-01
dc.date.issued2014-02-01
dc.identifier.citationNadeu, C.; Wolf, M. Channel selection measures for multi-microphone speech recognition. "Speech communication", 01 Febrer 2014, vol. 57, p. 170-180.
dc.identifier.issn0167-6393
dc.identifier.urihttp://hdl.handle.net/2117/21455
dc.description.abstractAutomatic speech recognition in a room with distant microphones is strongly affected by noise and reverberation. In scenarios where the speech signal is captured by several arbitrarily located microphones the degree of distortion differs from one channel to another. In this work we deal with measures extracted from a given distorted signal that either estimate its quality or measure how well it fits the acoustic models of the recognition system. We then apply them to solve the problem of selecting the signal (i.e. the channel) that presumably leads to the lowest recognition error rate. New channel selection techniques are presented, and compared experimentally in reverberant environments with other approaches reported in the literature. Significant improvements in recognition rate are observed for most of the measures. A new measure based on the variance of the speech intensity envelope shows a good trade-off between recognition accuracy, latency and computational cost. Also, the combination of measures allows a further improvement in recognition rate.
dc.format.extent11 p.
dc.language.isoeng
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::Processament del senyal::Processament de la parla i del senyal acústic
dc.subject.lcshAutomatic speech recognition
dc.subject.otherAutomatic speech recognition
dc.subject.otherChannel (microphone) selection
dc.subject.otherSignal quality
dc.subject.otherMulti-microphone
dc.subject.otherReverberation
dc.titleChannel selection measures for multi-microphone speech recognition
dc.typeArticle
dc.subject.lemacReconeixement automàtic de la parla
dc.contributor.groupUniversitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla
dc.identifier.doi10.1016/j.specom.2013.09.015
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0167639313001362#
dc.rights.accessRestricted access - publisher's policy
drac.iddocument12999031
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorNadeu, C.; Wolf, M.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameSpeech communication
upcommons.citation.volume57
upcommons.citation.startingPage170
upcommons.citation.endingPage180


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Salvo que se indique lo contrario, los contenidos de esta obra estan sujetos a la licencia de Creative Commons: Reconocimiento-NoComercial-SinObraDerivada 3.0 España