Phoneme recognition using spectral envelope and modulation frequency features

@article{Thomas2009PhonemeRU,
  title={Phoneme recognition using spectral envelope and modulation frequency features},
  author={Samuel Thomas and Sriram Ganapathy and Hynek Hermansky},
  journal={2009 IEEE International Conference on Acoustics, Speech and Signal Processing},
  year={2009},
  pages={4453-4456}
}
We present a new feature extraction technique for phoneme recognition that uses short-term spectral envelope and modulation frequency features. These features are derived from sub-band temporal envelopes of speech estimated using Frequency Domain Linear Prediction (FDLP). While spectral envelope features are obtained by the short-term integration of the sub-band envelopes, the modulation frequency components are derived from the long-term evolution of the sub-band envelopes. These features are… CONTINUE READING
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