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Optimization of Perceptually-based ASR Frond-end

Identifieur interne : 00EB32 ( Main/Merge ); précédent : 00EB31; suivant : 00EB33

Optimization of Perceptually-based ASR Frond-end

Auteurs : H. Hermansky ; J.-C. Junqua

Source :

RBID : CRIN:hermansky88a

English descriptors

Abstract

Several recently proposed automatic speech recognition (ASR) front-ends are experimentally compared for speaker-dependent and cross-speaker ASR. The perceptually based linear predictive (PLP) front-end yields the highest accuracies. By modifying its sensitivity to spectral peaks and to spectral tilt and by utilizing the speech dynamics we further improve by about 10========percnt; its error rate in speaker-independent ASR.

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CRIN:hermansky88a

Le document en format XML

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<div type="abstract" xml:lang="en" wicri:score="484">Several recently proposed automatic speech recognition (ASR) front-ends are experimentally compared for speaker-dependent and cross-speaker ASR. The perceptually based linear predictive (PLP) front-end yields the highest accuracies. By modifying its sensitivity to spectral peaks and to spectral tilt and by utilizing the speech dynamics we further improve by about 10========percnt; its error rate in speaker-independent ASR.</div>
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{{Explor lien
   |wiki=    Wicri/Lorraine
   |area=    InforLorV4
   |flux=    Main
   |étape=   Merge
   |type=    RBID
   |clé=     CRIN:hermansky88a
   |texte=   Optimization of Perceptually-based ASR Frond-end
}}
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