Hybrid System for Speech Coding Based on Contourlet Transformation

• Main Authors: Khalil Alsaif, Hadia Albadrani
• Format: Article
• Language: Arabic
• Published: Mosul University 2013-03-01
• Series: Al-Rafidain Journal of Computer Sciences and Mathematics
• Subjects: contourlet transform; embedded zero tree contourlet
• Online Access: https://csmj.mosuljournals.com/article_163428_b607e98030280e6d0c818ed533d8d3f9.pdf

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.