Noise suppression based on neurophysiologically-motivated SNR estimation for robust speech recognition

@inproceedings{Tcharz2000NoiseSB,
  title={Noise suppression based on neurophysiologically-motivated SNR estimation for robust speech recognition},
  author={iirgen Tcharz},
  year={2000}
}
  • iirgen Tcharz
  • Published 2000
A novel noise suppression scheme for speech signals is proposed which is based on a neurophysiologically-motivated estimation of the local signal-to-noise ratio (SNR) in different frequency channels. For SNR-estimation, the input signal is transformed into so-called Amplitude Modulation Spectrograms (AMS), which represent both spectral and temporal characteristics of the respective analysis frame, and which imitate the representation of modulation frequencies in higher stages of the mammalian… CONTINUE READING

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