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Conference papers
An elitist approach for extracting automatically well-realized speech sounds with high confidence
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.
Cited literature [6 references]
https://hal.archives-ouvertes.fr/hal-00014016
Contributor : Anne Bonneau <>
Submitted on : Monday, November 21, 2005 - 4:22:59 PM
Last modification on : Thursday, March 5, 2020 - 4:49:23 PM
Document(s) archivé(s) le : Friday, April 2, 2010 - 7:30:10 PM
Contributor : Anne Bonneau <>
Submitted on : Monday, November 21, 2005 - 4:22:59 PM
Last modification on : Thursday, March 5, 2020 - 4:49:23 PM
Document(s) archivé(s) le : Friday, April 2, 2010 - 7:30:10 PM
