Abstract : This paper presents an ëlitist approach\" for extracting automatically well-realized speech sounds with high confidence. The elitist approach uses a speech recognition system based on Hidden Markov Models (HMM). The HMM are trained on speech sounds which are systematically well-detected in an iterative procedure. The results show that, by using the HMM models defined in the training phase, the speech recognizer detects reliably specific speech sounds with a small rate of errors.
https://hal.archives-ouvertes.fr/hal-00014016
Contributeur : Anne Bonneau
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Soumis le : lundi 21 novembre 2005 - 16:22:59
Dernière modification le : samedi 22 décembre 2018 - 17:26:04
Document(s) archivé(s) le : vendredi 2 avril 2010 - 19:30:10
Jean-Baptiste Maj, Anne Bonneau, Dominique Fohr, Yves Laprie. An elitist approach for extracting automatically well-realized speech sounds with high confidence. 2005, pp.2925--2929, 2005, Conférence sur CDrom. 〈hal-00014016〉
