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Convention Paper

Pyramidal Algorithm for the Restoration of Audio Signal Corrupted by Wideband Noise

Authors: Cohen, Azaria; Neoran, Itai

AES Convention 120 · Paper 6771 · May 2006

Abstract

Restoration of noisy audio recordings seeks minimum degradation of sound and maximum suppression of noise. Spectral suppression methods perform best with high frequency resolution but the latter results in poor performance with transients. While Wavelet based algorithms attempt to optimize the time-frequency tradeoff, they suffer from frequency aliasing. The suggested pyramid algorithm is a good candidate to optimize the time-frequency resolution trade-off while avoiding aliasing. In this study an algorithm for removal of wide-band noise from old audio recordings is evaluated. The algorithm is based on the pyramid algorithm and on a spectral method for noise suppression. Results show enhanced conservation of onsets with efficient reduction of noise. The algorithm is implemented in real-time.

Details

Published in
AES Convention 120
AES Convention
120
Paper number
6771
Publication date
May 6, 2006
Session subject
Signal Processing; High Resolution Audio
Affiliation
Wave Audio (See document for exact affiliation information.)
Type
Convention Paper