InforLorV4, Hal, Corpus, bibRecord, 001327

Building a Pronunciation Lexicon for a Speech Transcription System from Wiktionary Pronunciations only

Identifieur interne : 001327 ( Hal/Corpus ); précédent : 001326; suivant : 001328

Building a Pronunciation Lexicon for a Speech Transcription System from Wiktionary Pronunciations only

Auteurs : Denis Jouvet ; Dominique Fohr ; Irina Illina

Source :

RBID : Hal:inria-00616330

Abstract

This paper shows that web pronunciations such as those available in the Wiktionary can be used efficiently for building a pronunciation lexicon for a speech transcription system. The pronunciations of words and expressions extracted from the Wiktionary provided data that were used either directly or for training data-driven grapheme-to-phoneme conversion systems, in order to make possible the development of pronunciation lexicons. As an example, French Wiktionary pronunciations were extracted. The derived pronunciations lexicons were then used for training the acoustic models and for evaluating speech recognition performance on the French broadcast news data from the ESTER2 campaign. Moreover, the results show that combining the pronunciations delivered by two different grapheme-to-phoneme conversion systems yields significant performance improvement.

Url:

https://hal.inria.fr/inria-00616330

Links to Exploration step

Hal:inria-00616330

Le document en format XML

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<front><div type="abstract" xml:lang="en">This paper shows that web pronunciations such as those available in the Wiktionary can be used efficiently for building a pronunciation lexicon for a speech transcription system. The pronunciations of words and expressions extracted from the Wiktionary provided data that were used either directly or for training data-driven grapheme-to-phoneme conversion systems, in order to make possible the development of pronunciation lexicons. As an example, French Wiktionary pronunciations were extracted. The derived pronunciations lexicons were then used for training the acoustic models and for evaluating speech recognition performance on the French broadcast news data from the ESTER2 campaign. Moreover, the results show that combining the pronunciations delivered by two different grapheme-to-phoneme conversion systems yields significant performance improvement.</div>
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<hal api="V3"><titleStmt><title xml:lang="en">Building a Pronunciation Lexicon for a Speech Transcription System from Wiktionary Pronunciations only</title>
<author role="aut"><persName><forename type="first">Denis</forename>
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<author role="aut"><persName><forename type="first">Dominique</forename>
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<idno type="halRefHtml">XIV International Conference "Speech and Computer" (SPECOM'2011), Sep 2011, Kazan, Russia. 2011</idno>
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<abstract xml:lang="en">This paper shows that web pronunciations such as those available in the Wiktionary can be used efficiently for building a pronunciation lexicon for a speech transcription system. The pronunciations of words and expressions extracted from the Wiktionary provided data that were used either directly or for training data-driven grapheme-to-phoneme conversion systems, in order to make possible the development of pronunciation lexicons. As an example, French Wiktionary pronunciations were extracted. The derived pronunciations lexicons were then used for training the acoustic models and for evaluating speech recognition performance on the French broadcast news data from the ESTER2 campaign. Moreover, the results show that combining the pronunciations delivered by two different grapheme-to-phoneme conversion systems yields significant performance improvement.</abstract>
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Building a Pronunciation Lexicon for a Speech Transcription System from Wiktionary Pronunciations only

Building a Pronunciation Lexicon for a Speech Transcription System from Wiktionary Pronunciations only

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