A Novel Approach: Steepest Descent Based Non-Harmonic Analysis Modeling to Reduce the Speech Noise

Arif Muntasa

doi:10.15866/irecos.v11i4.8755

A Novel Approach: Steepest Descent Based Non-Harmonic Analysis Modeling to Reduce the Speech Noise

Arif Muntasa^(1*)

^(*) Corresponding author

Authors' affiliations

DOI: https://doi.org/10.15866/irecos.v11i4.8755

Abstract

This paper introduces a new approach for reducing the speech noise. The proposed method consists of three primary processes, which are pre-processing, the smoothing and steepest descent based Non-Harmonic Analysis, and the determination of accuracy. The proposed method has been evaluated with three different smoothing methods, the Rectangular, Triangular, and Pseudo-Gaussian Smoothing using the TIMIT database. The experimental results exhibited that the proposed method decreased speech noise. It was proved by the increasing of the SNR produced by the proposed method, which are 7.1 dB, 6.52 dB, and 6.38 for the Rectangular, Triangular, and Pseudo-Gaussian Smoothing respectively. In this research, the proposed approach also showed that the Rectangular smoothing was better than the Triangular and Pseudo-Gaussian Smoothing.
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Keywords

Reduce Noise; Steepest Descent; Non-Harmonic Analysis; Smoothing

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