MFCC enhancement using joint corrupted and noise feature space for highly non-stationary noise environments

@article{Suzuki2012MFCCEU,
  title={MFCC enhancement using joint corrupted and noise feature space for highly non-stationary noise environments},
  author={Masayuki Suzuki and Takuya Yoshioka and Shinji Watanabe and Nobuaki Minematsu and Keikichi Hirose},
  journal={2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2012},
  pages={4109-4112}
}
One of the most effective approaches to noise robust speech recognition is to remove the noise effect directly from corrupted MFCC vectors. However, VTS enhancement, which is a typical method for performing MFCC enhancement, provides limited improvement when the noise is highly non-stationary. This is because the VTS enhancement method cannot use a time-varying noise model to keep the computational cost at an acceptable level. This paper proposes a method that can enhance MFCC vectors and their… CONTINUE READING
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Robust Automatic Speech Recognition in Timevarying Environments

  • V. Stouten
  • PhD thesis, 2006.
  • 2006
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