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A new approach to dual channel speech enhancement based on hybrid PSOGSA

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Abstract

A new approach to dual channel speech enhancement is proposed based on a recently introduced meta-heuristic optimization algorithm called hybrid PSOGSA. It is a novel algorithm which combines the ability of exploration in gravitational search algorithm (GSA) and the exploitation capability of particle swarm optimization (PSO) to offer a better local search process along with the social thinking. This paper aims to present such a hybrid combination as a promising and powerful technique to adaptive noise cancellation in speech enhancement and it is compared with the standard PSO (SPSO) and GSA based speech enhancement algorithms. Simulation results prove that the performance of PSOGSA is superior to SPSO and GSA algorithms, in the context of speech enhancement.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Andhra University, Visakhapatnam, India

    Prajna Kunche, G. Sasi Bhushan Rao & K. V. V. S. Reddy

  2. Department of Electronics and Communication Engineering, Vignan Institute of Information Technology, Visakhapatnam, India

    R. Uma Maheswari

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  1. Prajna Kunche
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  2. G. Sasi Bhushan Rao
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  3. K. V. V. S. Reddy
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  4. R. Uma Maheswari
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Correspondence to Prajna Kunche.

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Kunche, P., Sasi Bhushan Rao, G., Reddy, K.V.V.S. et al. A new approach to dual channel speech enhancement based on hybrid PSOGSA. Int J Speech Technol 18, 45–56 (2015). https://doi.org/10.1007/s10772-014-9245-5

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  • DOI: https://doi.org/10.1007/s10772-014-9245-5

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