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

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

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.

doi: 10.21437/Interspeech.2005-772

Cite as: Maj, J.-B., Bonneau, A., Fohr, D., Laprie, Y. (2005) An elitist approach for extracting automatically well-realized speech sounds with high confidence. Proc. Interspeech 2005, 2925-2928, doi: 10.21437/Interspeech.2005-772

@inproceedings{maj05_interspeech,
  author={Jean-Baptiste Maj and Anne Bonneau and Dominique Fohr and Yves Laprie},
  title={{An elitist approach for extracting automatically well-realized speech sounds with high confidence}},
  year=2005,
  booktitle={Proc. Interspeech 2005},
  pages={2925--2928},
  doi={10.21437/Interspeech.2005-772}
}