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Comparative Performance Evaluation of Greedy Algorithms for Speech Enhancement System

Department of Electronics Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand 826004, India

E-mail Address: kumarbittu135@gmail.com

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https://doi.org/10.1142/S0219477521500176Cited by:24 (Source: Crossref)

Abstract

In this paper, the performance of compressive sensing (CS)-based technique for speech enhancement has been studied and results analyzed with recovery algorithms as a comparison of their performances. This is done for several recovery algorithms such as matching pursuit, orthogonal matching pursuit, stage-wise orthogonal matching pursuit, compressive sampling matching pursuit and generalized orthogonal matching pursuit. Performances of all these greedy algorithms were compared for speech enhancement. The evaluation of results has been carried out using objective measures (perceptual evaluation of speech quality, log-likelihood ratio, weighted spectral slope distance and segmental signal-to-noise ratio), simulation time and composite objective measures (signal distortion C $_{S I G}$ $_{S I G}$ , background intrusiveness C $_{B A K}$ $_{B A K}$ and overall quality C $_{O V L})$ $_{O V L})$ . Results showed that the CS-based technique using generalized orthogonal matching pursuit algorithm yields better performance than the other recovery algorithms in terms of speech quality and distortion.

Communicated by Zoltan Gingl

Keywords:

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