Modified Noise Reduction Algorithm for Speech Enhancement
نویسندگان
چکیده
In this paper, the speech signal is enhanced from the noisy speech signal using the proposed Least Mean Square (LMS) adaptive noise reduction algorithm. In this, the speech signal is enhanced by varying the step size as the function of the input signal. Objective and subjective measures are made under various noises for the proposed and existing algorithms. From the experimental results, it is seen that the proposed LMS adaptive noise reduction algorithm reduces Mean square Error (MSE) as compared to the earlier method under various noise conditions with different input SNR levels. In addition, the proposed spectral subtraction method improves the Peak Signal to Noise Ratio (PSNR) as compared to that of various existing LMS adaptive noise reduction algorithms. From these experimental results, it is observed that the proposed LMS adaptive noise reduction algorithm reduces the speech distortion and residual noise as compared to existing methods.
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