International Journal of Computer
Trends and Technology

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Volume 4 | Issue 5 | Year 2013 | Article Id. IJCTT-V4I5P58 | DOI : https://doi.org/10.14445/22312803/IJCTT-V4I5P58

Comparative analysis of Speech Compression on 8-bit and 16-bit data using different wavelets

Vini Malik, Pranjal Singh Atul kumar Singh, Monika Singh

Citation :

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), vol. 4, no. 5, pp. 1251-1257, 2013. Crossref, https://doi.org/10.14445/22312803/IJCTT-V4I5P58

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.

Keywords

Compression score, Energy Level, Bit rate, Matlab, Wavelet transform

References

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