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dc.contributor.authorNadeu Camprubí, Climent
dc.contributor.authorLleida, E
dc.contributor.authorHernando Pericás, Francisco Javier
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.identifier.citationNadeu, C., Lleida, E., Hernando, J. Modelling of the analytic spectrum for speech recognition. A: 1st European Conference on Speech Communication and Technology. "1st European Conference on Speech Communication and Technology". Paris: European Speech Communication Association (ESCA), 1989, p. 215-218.
dc.description.abstractIn this paper, a new spectral representation is introduced and applied to speech recognition. As the widely used LPC autocorrelation technique, it arises from an optimization approach that starts from a set of M+ 1 autocorrelations estimated from the signal samples. This new technique models the analytic spectrum (Fourier's transform of the causal autocorrelation sequence) by assuming that its cepstral coefficients are zero beyond M, and uses an extremely simple algorithm to compute the nonzero coefficients. In speech recognition, the same Euclidean cepstral distance measure that is the object of the optimization is also used to calculate the spectral dissimilarity. Preliminary recognition tests with this technique are presentad.
dc.format.extent4 p.
dc.publisherEuropean Speech Communication Association (ESCA)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.lcshSpectrum analysis
dc.titleModelling of the analytic spectrum for speech recognition
dc.typeConference report
dc.subject.lemacAnàlisi espectral
dc.contributor.groupUniversitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
local.citation.authorNadeu, C.; Lleida, E.; Hernando, J.
local.citation.contributor1st European Conference on Speech Communication and Technology
local.citation.publicationName1st European Conference on Speech Communication and Technology

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