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Volume & Issue no: Volume 6, Issue 1, January - February 2017

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Title:
Novel Speech Signal Enhancement Techniques for Tamil Speech Recognition using RLS Adaptive Filtering and Dual Tree Complex Wavelet Transform
Author Name:
Vimala.C, Radha.V
Abstract:
Abstract A good speech signal enhancement technique must improve both quality and intelligibility of the enhanced signals for all types of environment conditions. However, the speech signal enhancement technique can reduce noise, but introduce its own distortion to the enhanced signals. Hence, it may or may not improve the quality and the intelligibility of the enhanced speech signals. The main objective of this paper is to propose suitable speech signal enhancement techniques that can improve both quality and intelligibility of the enhanced signals. In this research work, the combinational speech signal enhancement techniques are proposed using Dual Tree Complex Wavelet (DTCW) Transform and Recursive Least Squares (RLS) adaptive filtering. Three types of techniques are introduced by using the combination of DTCW and RLS adaptive filtering. The performances of the developed techniques are evaluated based on both subjective and objective speech quality measures. The experimental results prove that the proposed methods have provided better results in speech noise cancellation. Excellent results are achieved in improving the quality and intelligibility of the enhanced speech signal. Keywords: Speech signal enhancement, Dual Tree Complex Wavelet (DTCW) Transform, RLS adaptive algorithm, Ideal Binary Mask (IBM), Phase Spectrum Compensation (PSC).
Cite this article:
Vimala.C, Radha.V , " Novel Speech Signal Enhancement Techniques for Tamil Speech Recognition using RLS Adaptive Filtering and Dual Tree Complex Wavelet Transform" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 6, Issue 1, January - February 2017 , pp. 150-162 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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