An elitist approach for extracting automatically well-realized speech sounds with high confidence
<|reference_start|>An elitist approach for extracting automatically well-realized speech sounds with high confidence: 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.<|reference_end|>
@article{maj2005an,
    title={An elitist approach for extracting automatically well-realized speech
  sounds with high confidence},
    author={Jean-Baptiste Maj (LORIA), Anne Bonneau (LORIA), Dominique Fohr
  (LORIA), Yves Laprie (LORIA)},
    journal={arXiv preprint arXiv:cs/0511079},
    year={2005},
    archivePrefix={arXiv},
    eprint={cs/0511079},
    primaryClass={cs.CL}
}