Signal conditioning techniques for robust speech recognition

@article{Rahim1996SignalCT,
  title={Signal conditioning techniques for robust speech recognition},
  author={M. G. Rahim and Biing-Hwang Juang and Wu Chou and Eric R. Buhrke},
  journal={IEEE Signal Processing Letters},
  year={1996},
  volume={3},
  pages={107-109}
}
  • M.G. Rahim, Biing-Hwang Juang, +1 author Eric R. Buhrke
  • Published 1996
  • Mathematics
  • IEEE Signal Processing Letters
  • Acoustic mismatch encountered in various training and testing conditions of hidden Markov model (HMM) based systems often causes severe degradation in speech recognition performance. For telephone based speech recognition tasks, acoustic mismatch can arise from various sources, such as variations in telephone handsets, ambient noise, and channel distortions. This paper presents three techniques for blind channel equalization, namely, cepstral mean subtraction (CMS), signal bias removal (SBR… CONTINUE READING

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