Corpus ID: 1432307

Automatic phone set extension with confidence measure for spontaneous speech

@inproceedings{Liu2003AutomaticPS,
  title={Automatic phone set extension with confidence measure for spontaneous speech},
  author={Y. Liu and Pascale Fung},
  booktitle={INTERSPEECH},
  year={2003}
}
Extending the phone set is one common approach for dealing with phonetic confusions in spontaneous speech. We propose using likelihood ratio test as a confidence measure for automatic phone set extension to model phonetic confusions. We first extend the standard phone set using dynamic programming (DP) alignment to cover all possible phonetic confusions in training data. Likelihood ratio test is then used as a confidence measure to optimize the extended phonetic units to represent the acoustic… Expand
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References

SHOWING 1-6 OF 6 REFERENCES
Generation of robust phonetic set and decision tree for Mandarin using chi-square testing
CASS: a phonetically transcribed corpus of mandarin spontaneous speech
Automatic generation of pronunciation lexicons for Mandarin spontaneous speech
  • W. Byrne, V. Venkataramani, +5 authors Umar Ruhi
  • Computer Science
  • 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221)
  • 2001
Joint acoustic unit design and lexicon generation
  • Proc. Workshop on modeling pronunciation variation for ASR
  • 1998