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Broad-Band Acoustic Noise Reduction using a Novel Frequency Depended Parametric Wiener Filter. Implementations using Filter-bank, STFT and Wavelet Analysis/Synthesis Techniques.
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 a frequency depended parametric Wiener filter. A discussion of classical spectral subtraction, and a proof of equivalence under certain conditions to Wiener filtering, is given first. The concept of parametric Wiener filter is then examined, and a frequency dependence based on the model of pure tones masked by broad-band noise, is introduced. Filter-bank, STFT and wavelet implementations of the new approach, are finally compared to classical spectral subtraction for background noise reduction in old 78 rpm music disk recordings and noisy speech tape recordings.
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