Comparative analysis of Speech Compression on 8-bit and 16-bit data using different wavelets
| ||International Journal of Computer Trends and Technology (IJCTT)|| |
|© - May Issue 2013 by IJCTT Journal|
|Volume-4 Issue-5 |
|Year of Publication : 2013|
|Authors :Vini Malik, Pranjal Singh Atul kumar Singh, Monika Singh|
Vini Malik, Pranjal Singh Atul kumar Singh, Monika Singh"Comparative analysis of Speech Compression on 8-bit and 16-bit data using different wavelets"International Journal of Computer Trends and Technology (IJCTT),V4(5):1251-1257 May Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract: - Audio compression is done in order to minimize the memory requirements of an audio file. This paper presents a novel idea to achieve this by reducing the bit rate of a speech signal without compromising with perceptual quality.LPC coding is the most preferred technique but it provides the loss of information. By selecting an efficient technique of wavelet transform, we apply compression on speech signal using MATLAB software on a core- 2duo processor based computing device. The different families of wavelet are used in order to extract data such as compression scores and energy levels of an acoustic signal. The simulation results are taken with different wavelets on 8-bit and 16-bit signal. These simulation comparisons would represent the efficiency of a particular family and thus our aim of less memory consumption by reducing the bit rate of an audio file without effecting the quality and integrity of the signal is achieved.
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Keywords — Compression score, Energy Level, Bit rate, Matlab, Wavelet transform