Noise Suppression Based on Neurophysiologically-motivated SNR Estimation for Robust Speech Recognition
Tchorz, Jürgen, Kleinschmidt, Michael, Kollmeier, Birger
–Neural Information Processing Systems
ForSNR-estimation, the input signal is transformed into so-called Amplitude Modulation Spectrograms (AMS), which represent bothspectral and temporal characteristics of the respective analysis frame, and which imitate the representation of modulation frequenciesin higher stages of the mammalian auditory system. Aneural network is used to analyse AMS patterns generated from noisy speech and estimates the local SNR.
Neural Information Processing Systems
Dec-31-2001