Robust detection of sonorant landmarks

@inproceedings{Schutte2005RobustDO,
  title={Robust detection of sonorant landmarks},
  author={Ken Schutte and James R. Glass},
  booktitle={INTERSPEECH},
  year={2005}
}
A sonorant detection scheme using Mel-frequency cepstral coefficients and support vector machines (SVMs) is presented and tested in a variety of noise conditions. Adapting the classifier threshold using an estimate of the noise level is used to bias the classifier to effectively compensate for mismatched training and testing conditions. The adaptive threshold classifier achieves low frame error rates using only clean training data without requiring specifically designed features or learning… CONTINUE READING

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