Hybrid System for Speech Coding Based on Contourlet Transformation | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 8, Volume 10, Issue 1, March 2013, Pages 107-117 PDF (460.02 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2013.163428 | ||
| Authors | ||
| Khalil I. Alsaif; Hadia S. Albadrani | ||
| College of Computer Sciences and Mathematics University of Mosul, Mosul, Iraq | ||
| Abstract | ||
| The main objective of speech coding is to allow the transmission of speech over digital channel of the highest speech quality and least possible bit rate, beside the security purpose. In this paper, the speech was coded by transforming it applying (which is often single dimension) into a two dimensional array to be suitable for transferring the countourlet transformation. Applied EZC (Embedded Zero tree Contourlet) algorithm, then is applied to the Huffman coding on the results of EZC, and used RLE (Run Length Encoding). The above idea gave the ability for coding, compression with retrieved information of high accuracy, using some measurements for quality measured of reconstructed signal, and found results show high similarity between the original and reconstructed signal. | ||
| Keywords | ||
| Contourlet Transform; Embedded Zero tree Contourlet | ||
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