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dc.contributor.authorNadeu Camprubí, Climent
dc.contributor.authorPachès Leal, Pau
dc.contributor.authorJuang, B H
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2017-03-09T15:10:54Z
dc.date.available2017-03-09T15:10:54Z
dc.date.issued1995
dc.identifier.citationNadeu, C., Paches, P., Juang, B. Filtering the time sequence of spectral parameters for speaker-independent CDHMM word recognition.. A: 4th European Conference on Speech Communication and Technology. "Proceedings of the 4th EUROPEAN CONFERENCE ON SPEECH COMMUNICATION AND TECHNOLOGY". Madrid: ESCA - J.M. PARDO, E. ENRIQUEZ, J. ORTEGA, J. FERREIROS GTM-UPM, 1995, p. 923-926.
dc.identifier.isbn1018-4074
dc.identifier.urihttp://hdl.handle.net/2117/102224
dc.description.abstractIn this work, we show how speaker-independent CDHMM word recognition performance can be significantly improved for clean speech by filtering the time sequence of spectral parameters to enhance its time dynamics. Experimental results with the standard TI connected digits database show the filter can achieve more than 30% reduction of string recognition error. As shown in this paper, that improvement is partially due to the speaker variability reduction obtained by attenuating the very low modulation frequencies. The widely used cepstral mean subtraction technique also improves the recognition rate, but it can not achieve such a noticeable improvement as the parameter filter. In fact, the best results are obtained when the peak of the long-term spectrum of the filter output is at around 3 Hz, a frequency which corresponds to the average syllable rate of the employed database.
dc.format.extent4 p.
dc.language.isoeng
dc.publisherESCA - J.M. PARDO, E. ENRIQUEZ, J. ORTEGA, J. FERREIROS GTM-UPM
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.titleFiltering the time sequence of spectral parameters for speaker-independent CDHMM word recognition.
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
drac.iddocument2415437
dc.description.versionPostprint (published version)
upcommons.citation.authorNadeu, C., Paches, P., Juang, B.
upcommons.citation.contributor4th European Conference on Speech Communication and Technology
upcommons.citation.pubplaceMadrid
upcommons.citation.publishedtrue
upcommons.citation.publicationNameProceedings of the 4th EUROPEAN CONFERENCE ON SPEECH COMMUNICATION AND TECHNOLOGY
upcommons.citation.startingPage923
upcommons.citation.endingPage926


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