University of Tabriz Tabriz Journal of Electrical Engineering 2008-7799 46 3 2016 09 22 PSO-Based Speech Enhancement using Masking Properties of Human Auditory system PSO-Based Speech Enhancement using Masking Properties of Human Auditory system 287 297 5149 FA Journal Article 2012 10 09 Abstract: New dual-channel perceptually motivated subspace-based approaches are proposed for enhancement of speech corrupted by noise. The proposed methods take the frequency masking properties of the human auditory system into account and reduce perceptual effects of the residual noise. The perceptually constrained quotient singular value decomposition (PCQSVD) algorithm uses the particle swarm optimization (PSO) technique to estimate the additive noise. Very carefully performed objective evaluations and subjective tests show that the proposed approaches here can offer improved speech quality, as compared to previous methods, in the case of stationary and nonstationary noises, especially when the additive noise is nonwhite. Abstract: New dual-channel perceptually motivated subspace-based approaches are proposed for enhancement of speech corrupted by noise. The proposed methods take the frequency masking properties of the human auditory system into account and reduce perceptual effects of the residual noise. The perceptually constrained quotient singular value decomposition (PCQSVD) algorithm uses the particle swarm optimization (PSO) technique to estimate the additive noise. Very carefully performed objective evaluations and subjective tests show that the proposed approaches here can offer improved speech quality, as compared to previous methods, in the case of stationary and nonstationary noises, especially when the additive noise is nonwhite. https://tjee.tabrizu.ac.ir/article_5149_e93dc27d151a9b0ad0680c2617d8179a.pdf