Broad-Band Acoustic Noise Reduction using a Novel Frequency Depended Parametric Wiener Filter. Implementations using Filterbank, STFT and Wavelet Analysis/Synthesis Techniques.

摘要

Equivalent masking noise estimation could be introduced in conventional broad-band acoustic noise reduction,to provide a new class of modified techniques. The psycho-acoustical facts exploited in this paper, result to afrequency depended parametric Wiener filter. A discussion of classical spectral subtraction, and a proof ofequivalence under certain conditions to Wiener filtering, is given first. The concept of parametric Wiener filter isthen examined, and a frequency dependence based on the model of pure tones masked by broad-band noise, isintroduced. Filter-bank, STFT and wavelet implementations of the new approach, are finally compared toclassical spectral subtraction for background noise reduction in old 78 rpm music disk recordings and noisyspeech tape recordings.