Performance Analysis of Speech Enhancement Techniques in Code Excited Linear Prediction Coders
Linta Raj1, Ancy S. Anselam2, Sakuntala S. Pillai3
1Linta Raj, Department of Electronics and Communication Engineering, Mar Baselios College of Engineering and Technology, Thiruvananthapuram (Kerala), India.
2Ancy S. Anselam, Department of Electronics and Communication Engineering, Mar Baselios College of Engineering and Technology, Thiruvananthapuram (Kerala), India.
3Sakuntala S. Pillai, Department of Electronics and Communication Engineering, Mar Baselios College of Engineering and Technology, Thiruvananthapuram (Kerala), India.
Manuscript received on 15 June 2015 | Revised Manuscript received on 25 June 2015 | Manuscript Published on 30 June 2015 | PP: 182-186 | Volume-4 Issue-5, June 2015 | Retrieval Number: E4123064515/15©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Emerging digital speech applications in various fields like wireless and multimedia created a demand for high quality speech. Speech in uncontrolled environment contains degradation components like background noise, thus the ultimate aim of speech enhancement algorithm is to reduce the noise or to improve the quality and intelligibility of corrupted speech. Different methods have been proposed for enhancing the speech quality. These enhancement methods can be used to improve the quality of speech coded using low bit – rate speech coders like Code Excited Linear Prediction (CELP) coder. This paper reports the performance evaluation of Spectral subtraction and Wiener noise reduction methods in CELP coder. The obtained results explain the performance evaluation of the speech enhancement algorithms and show improvements both qualitatively and quantitatively.
Keywords: CELP Coder, Noise Reduction, Spectral Subtraction, Speech Enhancement.
Scope of the Article: Predictive Analysis