Abstract :
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. Sandar Oo "Study on Speech Compression and Decompression by using Discrete Wavelet Transform" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21727.pdf Paper URL: https://www.ijtsrd.com/physics/engineering-physics/21727/study-on-speech-compression-and-decompression-by-using-discrete-wavelet-transform/sandar-oo
Keyword :
Discretewavelettransform, Denoising, Softthresholding, Hardthresholding