Speech signal can be compressed and decompressed by discrete wavelet transform technique. Discrete wavelet transform compression is based on compressing speech signal by removing redundancies present in it. Speech compression is a technique to transform speech signal into compact form. Objective of compressing speech signal is to enhance transmission and storage capacity. The compression parameters in speech such as Signal to Noise Ratio (SNR), Peak Signal to Noise Ratio (PSNR), Normalized Root Mean Square Error (NRMSE), Compression Factor (CF) and Retained Signal Energy (RSE) are measured using Matlab.
Discrete wavelet transform, Denoising, Soft thresholding, Hard thresholding
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