Application of Kullback-Leibler Metric to Speech Recognition

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dc.creatorBocharov, Igor
dc.creatorLukin, Pavel
dc.date2003-10-13
dc.date.accessioned2026-07-07T03:20:26Z
dc.date.available2026-07-07T03:20:26Z
dc.descriptionArticle discusses the application of Kullback-Leibler divergence to the recognition of speech signals and suggests three algorithms implementing this divergence criterion: correlation algorithm, spectral algorithm and filter algorithm. Discussion covers an approach to the problem of speech variability and is illustrated with the results of experimental modeling of speech signals. The article gives a number of recommendations on the choice of appropriate model parameters and provides a comparison to some other methods of speech recognition.
dc.description10 pages, 4 figures, Word to PDF auto converted
dc.identifierhttps://arxiv.org/abs/cs/0310023
dc.identifierhttp://arxiv.org/abs/cs/0310023
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/31827
dc.subjectArtificial Intelligence
dc.subjectI.2.7
dc.titleApplication of Kullback-Leibler Metric to Speech Recognition
dc.typetext

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