Speech Enhancement using Affine Projection Algorithm and Normalized Kernel Affine Projection Algorithm
نویسندگان
چکیده
The aim of the Speech Enhancement system is to improve the quality of noisy 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 improvement in increasing the Signal to Noise Ratio (SNR) and 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), Recursive least square (RLS), Kernel least mean square (KLMS) and their performance is compared.
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