Morpho-syntactic post-processing of N-best lists for improved French automatic speech recognition
نویسندگان
چکیده
HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Morpho-syntactic post-processing of N-best lists for improved French automatic speech recognition Stéphane Huet, Guillaume Gravier, Pascale Sébillot
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Informations morpho-syntaxiques et adaptation thématique pour améliorer la reconnaissance de la parole
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We study the use of morphosyntactic knowledge to process Nbest lists. We propose a new score function that combines the parts of speech (POS), language model, and acoustic scores at the sentence level. Experimental results, obtained for French broadcast news transcription, show a significant improvement of the word error rate with various decoding criteria commonly used in speech recognition. I...
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ورودعنوان ژورنال:
- Computer Speech & Language
دوره 24 شماره
صفحات -
تاریخ انتشار 2010