Sound Data Compression Method Using Genetic Algorithm


Abstract in English

The principal objective of this research is an adoption of the Genetic Algorithm (GA) for studying it firstly, and to stop over the operations which are introduced from the genetic algorithm.The candidate field for applying the operations of the genetic algorithm is the sound data compression field. This research uses the operations of the genetic algorithm for the enhancement of the performance of one of the popular compression method. Vector Quantization (VQ) method is selected in this work. After studying this method, new proposed algorithm for mixing the (GA) with this method was constructed and then the required programs for testing this algorithm was written. A good enhancement was recorded for the performance of the (VQ) method when mixed with the (GA). The proposed algorithm was tested by applying it on some sound data files. Some fidelity measures are calculated to evaluate the performance of the new proposed algorithm.

References used

Al-Rawi Hisham, Jane J. Stephan, “Genetic Algorithm Based Image Segmentation”, Proceeding of CATAEE’99, Philadelphia University, Jordan, 1999
Cabral Jim, “3D Vector Quantization of Magnetic Resonance Images”, Internet Paper, http://www.data-compression/vq.html, 1994
Chan Yuk-Hee, Wan-Chi Siu and Kin-Man Lam, “ A Novel VQ Encoding Algorithm Based on Adaptive Searching Sequence”, IEEE International Symposium on Speech, Image Processing and Neural Networks, 13-16 April 1994, Hong Kong

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