DSP Real-Time Implementation of an Audio Compression Algorithm by using the Fast Hartley Transform

Abstract: This paper presents a simulation and hardware implementation of a new audio compression scheme based on the fast Hartley transform in combination with a new modified run length encoding. The proposed algorithm consists of analyzing signals with fast Hartley Transform and then thresholding the ob-tained coefficients below a given threshold which are then encoded using a new approach of run length encoding. The thresholded coefficients are, finally, quantized and coded into binary stream. The experimental results show the ability of the fast Hartley transform to compress audio signals. Indeed, it concentrates the signal energy in a few coefficients and demonstrates the ability of the new approach of run length encoding to increase the compression factor. The results of the current work are compared with wavelet based compression by using objective assessments namely CR, SNR, PSNR and NRMSE. This study shows that the fast Hartley transform is more appropriate than wavelets one since it offers a higher compression ratio and a better speech quality. In addition, we have tested the audio compression system on DSP processor TMS320C6416.This test shows that our system fits with the real-time requirements and ensures a low complexity. The perceptual quality is evaluated with the Mean Opinion Score (MOS).

Souha BOUSSELMI, Noureddine ALOUI and Adnen CHERIF. “DSP Real-Time Implementation of an Audio Compression Algorithm by using the Fast Hartley Transform”. International Journal of Advanced Computer Science and Applications (IJACSA) 8.4 (2017). http://dx.doi.org/10.14569/IJACSA.2017.080462

@article{BOUSSELMI2017,
title = {DSP Real-Time Implementation of an Audio Compression Algorithm by using the Fast Hartley Transform},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080462},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080462},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {4},
author = {Souha BOUSSELMI and Noureddine ALOUI and Adnen CHERIF}
}