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Dynamic Lexicon for a Very Large Vocabulary Vocal Dictation

Marie-Josée Caraty 1 Claude Montacié 1 Fabrice Lefevre 1 
1 APA - Apprentissage et Acquisition des connaissances
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : For very large vocabulary vocal dictation systems, we present a decoding strategy useful to reduce the lexical decoding cost. For each test-utterance, a sub-lexicon is selected from a very large recognition vocabulary. Such a recognition sub-lexicon is called Dynamic Lexicon (DL). Various algorithms of DL selection are developed and tested in terms of coverage rate of textual corpus. From these experiments, we describe a DL constitution we choose to use in D-DAL, our HMM-based recognizer competing for the first campaign of french vocal dictation supported by AUPELF. The contribution made by this original DL is a posteriori confirmed through the AUPELF-B1 test-dictation.
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Submitted on : Thursday, November 2, 2017 - 11:24:06 AM
Last modification on : Sunday, June 26, 2022 - 9:43:12 AM


  • HAL Id : hal-01627669, version 1


Marie-Josée Caraty, Claude Montacié, Fabrice Lefevre. Dynamic Lexicon for a Very Large Vocabulary Vocal Dictation. EUROSPEECH 1997 - Fifth European Conference of Speech Communication and Technology, Sep 1997, Rhodes, Greece. pp.2691-2694. ⟨hal-01627669⟩



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