Robust speech recognition using wavelet coefficient features

@inproceedings{Gupta2001RobustSR,
  title={Robust speech recognition using wavelet coefficient features},
  author={Maya R. Gupta and Anna Rebecca Gilbert},
  year={2001}
}
We propose a new vein of feature vectors for robust speech recognition that use denoised wavelet Coefficients. Greater robustness to unexpected additive noise or spectrum distortions begins with more robust acoustic features. The use of wavelet coefficients is motivated by human acoustic process modelling and by the ability of wavelet coefficients to capture important time and frequency features. Wavelet denoising accentuates the most salient information about the speech signal and adds… CONTINUE READING

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Essenfial Waweletsjor Statalirtical Appli - catiom and Data Analysis , Birkhauser , 1997 . _ _ . - tion speech feature parameterization for monophone - based stressed speech recognition

  • Kidae Kim, Dae Hee Youn, Chulhee Lee
  • Evalu - ation of wavelet filters for speech…

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