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Information Journal Paper

Title

PSO-BASED SPEECH ENHANCEMENT USING MASKING PROPERTIES OF HUMAN AUDITORY SYSTEM

Pages

  287-297

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.

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    APA: Copy

    GERAVANCHIZADEH, M., & GHAEMI SARDAROUDI, S.. (2016). PSO-BASED SPEECH ENHANCEMENT USING MASKING PROPERTIES OF HUMAN AUDITORY SYSTEM. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 46(3 (77)), 287-297. SID. https://sid.ir/paper/256445/en

    Vancouver: Copy

    GERAVANCHIZADEH M., GHAEMI SARDAROUDI S.. PSO-BASED SPEECH ENHANCEMENT USING MASKING PROPERTIES OF HUMAN AUDITORY SYSTEM. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2016;46(3 (77)):287-297. Available from: https://sid.ir/paper/256445/en

    IEEE: Copy

    M. GERAVANCHIZADEH, and S. GHAEMI SARDAROUDI, “PSO-BASED SPEECH ENHANCEMENT USING MASKING PROPERTIES OF HUMAN AUDITORY SYSTEM,” TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 46, no. 3 (77), pp. 287–297, 2016, [Online]. Available: https://sid.ir/paper/256445/en

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