Sub-band based recognition of noisy speech

@inproceedings{Tibrewala1997SubbandBR,
  title={Sub-band based recognition of noisy speech},
  author={Sangita Tibrewala and Hynek Hermansky},
  booktitle={ICASSP},
  year={1997}
}
A new approach to automatic speech recognition based on independent class-conditional probability estimates in several frequency sub-bands is presented. The approach is shown to be especially applicable to environments which cause partial corruption of the frequency spectrum of the signal. Some of the issues involved in the implementation of the approach are also addressed. 
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Showing 1-7 of 7 references

Connection- Ist Speech Recognition — a Hybrid Ap- Proach

  • H. Bourlard, N. Morgan
  • Kluwer Academic Publishers,
  • 1994
1 Excerpt

Estimation of noise spectrum and its applications to SNR estimation and speech enhancement

  • H. G. Hirsch
  • TECHNICAL REPORT TR-93-012, International…
  • 1993
1 Excerpt

Speech and Hearing in Com- Munication

  • H. Fletcher
  • 1953
1 Excerpt

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