Ten lectures on wavelets
Speech Communication - Eurospeech '91
Wavelets and subband coding
Signal Processing - Special issue on acoustic echo and noise control
Speech Enhancement with Reduction of Noise Components in the Wavelet Domain
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 2 - Volume 2
Digital IIR filter design using differential evolution algorithm
EURASIP Journal on Applied Signal Processing
Nonlinear speech enhancement: an overview
Progress in nonlinear speech processing
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The method of spectral subtraction is widely used for single-channel speech enhancement, if the speech signal is corrupted by additive noise. It is based on the manipulation of the magnitude of the noisy-speech spectrum. Most realizations use fixed, uniformly-spaced frequency transformations or, equivalently, filter banks with identical sampling rates in each frequency band. In this paper, we generalize the basic structure: Different filter-bank systems with non-uniform and, especially, non-constant, signal-adaptive spectral resolutions and, therefore, different sampling rates are examined. An efficient realization of a time-varying band allocation is proposed. The arising problems are discussed and the enhancement results are compared to each other and to those obtained with uniform spectral transformations.