Information Divergence Criterion in Speech Signal Recognition

• Autorzy: Bocharov I. , Lukin P.
• Języki publikacji: EN

Abstrakty

EN

The article discusses an 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 original approach to the problem of speech variability and is illustrated with results of experimental speech signal modeling. 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.

Słowa kluczowe

EN

speech recognition; speech variability; information divergence

• Wydawca: Polskie Towarzystwo Matematyczne
• Czasopismo: Fundamenta Informaticae
• Rocznik: 2005
• Tom: Vol. 68, nr 4
• Strony: 303--313
• Opis fizyczny: Bibliogr. 19 poz., tab., wykr.

Twórcy

autor

Bocharov I.

• Department of Mathematics and Informatics, Nizhny Novgorod State Linguistic University

autor

Lukin P.

• Department of Mathematics and Informatics, Nizhny Novgorod State Linguistic University

Bibliografia

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