Digital Signal Processing

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Performance Comparison of Affine Projection Algorithm and Normalized Kernel Affine Projection Algorithm for Speech Enhancement


Affiliations
1 Dept. of Electronics and Telecommunication, G. H. Raisoni Institute of Engineering and Technology, Pune, India
     

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The main objective of the Speech Enhancement system is to improve the intelligibility and the quality of degraded speech signal. This paper emphasize on enhancement of noisy speech by using Affine Projection Algorithm (APA) and Kernel Affine Projection Algorithm (KAPA). Noise is present everywhere in the environment, So Kernel adaptive filters are used to enhance noisy speech signal and shows the good results in increasing the signal to Noise Ratio (SNR) and minimizing the mean square error (MSE). The computer simulations are performed using NOIZEUS speech corpus for different SNR values using Affine projection (APA), Kernel Affine projection (KAPA), Kernel normalized least  mean square (KNLMS), Kernel affine projection with coherent criteria (KAPCC), and Extended kernel recursive least square (EXKRLS) their performance is compared.


Keywords

Speech Enhancement, APA, KAPA, RKHS, MSE, SNR.
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  • Performance Comparison of Affine Projection Algorithm and Normalized Kernel Affine Projection Algorithm for Speech Enhancement

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Authors

Kavita R. Jadhav
Dept. of Electronics and Telecommunication, G. H. Raisoni Institute of Engineering and Technology, Pune, India
Mrinal R. Bachute
Dept. of Electronics and Telecommunication, G. H. Raisoni Institute of Engineering and Technology, Pune, India
R. D. Kharadkar
Dept. of Electronics and Telecommunication, G. H. Raisoni Institute of Engineering and Technology, Pune, India

Abstract


The main objective of the Speech Enhancement system is to improve the intelligibility and the quality of degraded speech signal. This paper emphasize on enhancement of noisy speech by using Affine Projection Algorithm (APA) and Kernel Affine Projection Algorithm (KAPA). Noise is present everywhere in the environment, So Kernel adaptive filters are used to enhance noisy speech signal and shows the good results in increasing the signal to Noise Ratio (SNR) and minimizing the mean square error (MSE). The computer simulations are performed using NOIZEUS speech corpus for different SNR values using Affine projection (APA), Kernel Affine projection (KAPA), Kernel normalized least  mean square (KNLMS), Kernel affine projection with coherent criteria (KAPCC), and Extended kernel recursive least square (EXKRLS) their performance is compared.


Keywords


Speech Enhancement, APA, KAPA, RKHS, MSE, SNR.