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

Jean-Baptiste Maj; Anne Bonneau; Dominique Fohr; Yves Laprie

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

Jean-Baptiste Maj·Anne Bonneau·Dominique Fohr·Yves Laprie

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Abstract

This paper presents an "elitist 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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Jean-Baptiste Maj, Anne Bonneau, Dominique Fohr, Yves Laprie. 2005-11-22. An elitist approach for extracting automatically well-realized speech sounds with high confidence. https://arxiv.org/abs/cs/0511079

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