Abstract
A new algorithm of broadband, nonstationary noise reduction was engineered employing the perceptual approach to the removal of noise from acoustic signals. It enables analysis and processing of sound according to characteristics of hearing sense, and employs a decision system to automatically adjust thresholds of masking. The presented algorithm provides an extension of perceptual coding applications, because it makes possible the reduction of noise included in source signals. Although noisy components of a signal may occur randomly, it is possible to estimate the noise distribution on the basis of signal analysis in silence passages of the transmission. Subsequently, the decision should be made as to the masking curves’ parameter settings which will make the noise inaudible. That is the reason why an intelligent approach is used in modeling some interrelations between available noise patterns and the noise affecting consecutive portions of useful signals. The decision system was implemented in various ways using fuzzy reasoning, rough set approach, and modified feedforward neural networks with functional links. The proposed methods of noise reduction and obtained results of noisy speech processing are presented in the paper. [Work supported by the Committee for Scientific Research, Poland, Grant No. 8 T11D 021 12.]
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