Building a Pronunciation Lexicon for a Speech Transcription System from Wiktionary Pronunciations only
Identifieur interne : 002093 ( Main/Exploration ); précédent : 002092; suivant : 002094Building a Pronunciation Lexicon for a Speech Transcription System from Wiktionary Pronunciations only
Auteurs : Denis Jouvet [France] ; Dominique Fohr [France] ; Irina Illina [France]Source :
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:
Affiliations:
- France
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
Links toward previous steps (curation, corpus...)
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- to stream Hal, to step Curation: 001327
- to stream Hal, to step Checkpoint: 001B50
- to stream Main, to step Merge: 002137
- to stream Main, to step Curation: 002093
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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<orgName><li>Institut national polytechnique de Lorraine</li>
<li>Université Nancy 2</li>
<li>Université de Lorraine</li>
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<tree><country name="France"><region name="Grand Est"><name sortKey="Jouvet, Denis" sort="Jouvet, Denis" uniqKey="Jouvet D" first="Denis" last="Jouvet">Denis Jouvet</name>
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<name sortKey="Fohr, Dominique" sort="Fohr, Dominique" uniqKey="Fohr D" first="Dominique" last="Fohr">Dominique Fohr</name>
<name sortKey="Illina, Irina" sort="Illina, Irina" uniqKey="Illina I" first="Irina" last="Illina">Irina Illina</name>
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