Dynamic Lexicon for a Very Large Vocabulary Vocal Dictation

Marie-Josée Caraty; Claude Montacié; Fabrice Lefevre

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.

Document type :

Conference papers

Domain :

Computer Science [cs]

Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-01627669
Contributor : Lip6 Publications <>
Submitted on : Thursday, November 2, 2017 - 11:24:06 AM
Last modification on : Wednesday, May 15, 2019 - 10:12:14 AM

Dynamic Lexicon for a Very Large Vocabulary Vocal Dictation

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Dynamic Lexicon for a Very Large Vocabulary Vocal Dictation

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