Performance Comparison of Speech Enhancement Algorithms Using Different Parameters
نویسنده
چکیده
1932 All Rights Reserved © 2016 IJARECE Abstract— In speech communication system, background noise degrades the information or speech signal. For minimizing the effect of background noise different speech enhancement techniques are used. Some speech enhancement techniques are Spectral Subtraction, Wiener Filtering, Two Step Decision Directed Approach, Perceptual Decision Directed Approach. This paper includes the study of these algorithms, and compare the performance using different parameters i.e., signal to noise ratio(SNR), Peak Signal to Noise Ratio(PSNR), Mean Square Error(MSE), Normalized Root Mean Square Error(NRMSE). From the results we conclude that the performance of PDD approach is better than other described algorithms.
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