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http://dx.doi.org/10.6109/JKIICE.2009.13.4.652

Noise Suppression Algorithm using Neural Network based Amplitude and Phase Spectrum  

Choi, Jae-Seung (신라대학교 전자공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.13, no.4, 2009 , pp. 652-657 More about this Journal
Abstract
This paper proposes an adaptive noise suppression system based on human auditory model to enhance speech signal that is degraded by various background noises. The proposed system detects voiced, unvoiced and silence sections for each frame and implements an adaptive auditory process, then reduces the noise speech signal using a neural network including amplitude component and phase component. Based on measuring signal-to-noise ratios, experiments confirm that the proposed system is effective for speech signal that is degraded by various noises.
Keywords
Adaptive noise suppression; human auditory model; amplitude and phase spectrum; neural network;
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