study and application of silence model adaptation for use in telephone speech recognition system

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ID: 182202
2004
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Ranked #63 of 100 articles by views in molecular therapy : the journal of the american society of gene therapy

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Abstract
This paper addresses the problem of the mismatch between a silencemodel and background noises which often occurs in a telephone speechrecognition system (SRS) application. At first, the use of parallelmodel combination (PMC) methods is studied with the respect to thisapplication. Secondly, the effective adaptation of a silence model tovarious background noises is confirmed. Finally, an original methodcombining log-add PMC with a noise power spectral density estimationbased on minimum statistics is proposed. The performed tests prove thebenefit of the suggested method to the speech recognition results thatis caused by the stability of speech vector selection under theinfluence of various background noises. The advantages can be seen inno extra voice activity detector and in a relatively low computationalload.
Reference Key
uhlir2004radioengineeringstudy Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;J. Uhlir;P. Sovka;J. Novotny
Journal molecular therapy : the journal of the american society of gene therapy
Year 2004
DOI
DOI not found
URL
www.radioeng.cz/fulltexts/2004/04_03_01_06.pdf
Keywords
electrical engineering electronics nuclear engineering

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