Title :
A comparative study between Discrete Wavelet Transform and Linear Predictive Coding
Author :
Ambika, D. ; Radha, V.
Author_Institution :
Dept. of Comput. Sci., Avinashilingam Inst. for Home Sci. & Higher Educ. for Women, Coimbatore, India
fDate :
Oct. 30 2012-Nov. 2 2012
Abstract :
In this paper the analysis of the compression process was performed by comparing the compressed signal against the original signal. To do this the most powerful speech analysis and compression techniques such as Linear Predictive Coding (LPC) and Discrete Wavelet Transform (DWT) was implemented using MATLAB. Here nine samples of spoken words are collected from different speakers and are used for implementation. The results obtained from LPC were compared with other compression technique called Discrete Wavelet Transform. Finally the results were evaluated in terms of compressed ratio (CR), Peak signal-to-noise ratio (PSNR) and Normalized root-mean square error (NRMSE). The result shows that DWT performance was better for these samples than the LPC method.
Keywords :
discrete wavelet transforms; linear predictive coding; speech processing; DWT performance; MATLAB; PSNR; compressed ratio; compressed signal; discrete wavelet transform; linear predictive coding; normalized root mean square error; peak signal to noise ratio; speakers; speech analysis; spoken words; Discrete wavelet transforms; Linear predictive coding; PSNR; Speech; Speech coding; CR; DWT; LPC; NRMSE; PSNR; Speech compression;
Conference_Titel :
Information and Communication Technologies (WICT), 2012 World Congress on
Conference_Location :
Trivandrum
Print_ISBN :
978-1-4673-4806-5
DOI :
10.1109/WICT.2012.6409214
