InforLorV4, Main, Exploration, bibRecord, 001619

Comparison and Analysis of Several Phonetic Decoding Approaches

Identifieur interne : 001619 ( Main/Exploration ); précédent : 001618; suivant : 001620

Comparison and Analysis of Several Phonetic Decoding Approaches

Auteurs : Luiza Orosanu [France] ; Denis Jouvet [France]

Source :

Lecture Notes in Computer Science [ 0302-9743 ]

RBID : ISTEX:C1BE7A1463FB407279EF9D67C105B67136989CB9

Abstract

Abstract: This article analyzes the phonetic decoding performance obtained with different choices of linguistic units. The context is to later use such an approach as a support for helping communication with deaf people, and to run it on an embedded decoder on a portable terminal, which introduces constrains on the model size. As a first step, this paper compares the performance of various approaches on the ESTER2 and ETAPE speech corpora. Two baseline systems are considered, one relying on a large vocabulary speech recognizer, and another one relying on a phonetic n-gram language model. The third model which relies on a syllable-based lexicon and a trigram language model, provides a good tradeoff between model size and phonetic decoding performance. The phone error rate is only 4% worse (absolute) than the phone error rate obtained with the large vocabulary recognizer, and much better than the phone error rate obtained with the phone n-gram language model. Phone error rates are then analyzed with respect to SNR and speaking rate.

Url:

https://api.istex.fr/ark:/67375/HCB-5FH7NPRR-B/fulltext.pdf

DOI: 10.1007/978-3-642-40585-3_21

Affiliations:

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Le document en format XML

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<front><div type="abstract" xml:lang="en">Abstract: This article analyzes the phonetic decoding performance obtained with different choices of linguistic units. The context is to later use such an approach as a support for helping communication with deaf people, and to run it on an embedded decoder on a portable terminal, which introduces constrains on the model size. As a first step, this paper compares the performance of various approaches on the ESTER2 and ETAPE speech corpora. Two baseline systems are considered, one relying on a large vocabulary speech recognizer, and another one relying on a phonetic n-gram language model. The third model which relies on a syllable-based lexicon and a trigram language model, provides a good tradeoff between model size and phonetic decoding performance. The phone error rate is only 4% worse (absolute) than the phone error rate obtained with the large vocabulary recognizer, and much better than the phone error rate obtained with the phone n-gram language model. Phone error rates are then analyzed with respect to SNR and speaking rate.</div>
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Comparison and Analysis of Several Phonetic Decoding Approaches

Comparison and Analysis of Several Phonetic Decoding Approaches

Source :

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri