Denoising of Speech Signal Using Decision Directed Approach

Year 2020, Volume: 3 Issue: 1, 70 - 83, 01.06.2020

Abdelli OUARDİA Fatiha MERAZKA

Abstract

This article deals with the problem of improving speech in noisy environments using the decisional approach (DD). The decision approach (DD) uses a priori estimation of the signal-to-noise ratio (SNR) for speech improvement and is used to estimate the time-varying noise spectrum, which results in better performance in terms of intelligibility and a reduction in musical noise. In this article, we propose recursive estimators for the a priori SNR and the spectral components of speech. We introduce a new statistical model which takes into account the temporal correlation between the successive vocal spectral components, while keeping the resulting algorithms simple. This model provides new information on the DD approach and allows the extension of existing speech improvement algorithms.

Keywords

Spectral Attenuation, Signal and Noise, Suppression Rule, SNR, HRNR, TSNR

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