Title :
Recipe of speech compression using coiflet wavelet
Author :
Narkhedkar, Snehanka G. ; Patel, Pramod Kumar
Author_Institution :
Technocrats Inst. of Technol., Bhopal, India
Abstract :
Speech compression is one of the most visible applications of wavelet. Here in this paper we examined the performance of Coiflet wavelet in continues Hindi speech coding. This is the second attempt carried out among the Indian language. In this experiment we used Coiflet wavelet to decompose the signal and applied to brige-Massmart strategy based Thresholding to make insignificant wavelet coefficient to zero and finally lossless run length encoding algorithm applied to encode the remaining coefficient. Performance of this process evaluate in term of Signal to Noise Ratio (SNR), Peak Signal to Noise Ratio (PSNR), Retained Signal Energy (RSE), and Compression Ratio (CR). For this experiment we use continues speak sentence from Hindi Language. We can successfully compress and reconstructed continues Hindi sentence with perfect audibility.
Keywords :
data compression; speech processing; wavelet transforms; CR; Coiflet wavelet; Hindi speech coding; Indian language; PSNR; RSE; SNR; brige-Massmart strategy based thresholding; compression ratio; lossless run length encoding algorithm; peak signal-to-noise ratio; retained signal energy; signal-to-noise ratio; speech compression; wavelet coefficient; Discrete wavelet transforms; Filter banks; Signal to noise ratio; Speech; Speech processing; Brige Massmart strategy; Coiflet wavelet; Run Length Encoding;
Conference_Titel :
Contemporary Computing and Informatics (IC3I), 2014 International Conference on
Conference_Location :
Mysore
DOI :
10.1109/IC3I.2014.7019767
