An elitist approach for extracting automatically well-realized speech sounds with high confidence

Jean-Baptiste Maj 1 Anne Bonneau 1 Dominique Fohr 1 Yves Laprie 1
1 PAROLE - Analysis, perception and recognition of speech
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
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.
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Submitted on : Monday, November 21, 2005 - 4:22:59 PM
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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. ⟨hal-00014016⟩

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