Compression of speech signals is very important in signal processing, data transmission and data storage. Therefore in this paper a new method for compression speech signals that have a significant number of zeros and ones after encoding has been proposed and the proposed name for this method is Zeros-Ones Position Method (ZOPM). Also a new statistical evaluation method is used to evaluate the reconstructed signal and compare it with the original one. Results obtained from the simulation program show that in speech signals containing 60% of silent intervals can give 2.3 compression ratio (CR) due to ZOPM. In this paper the proposed ZOPM method is compared with Huffman encoding for signals with enough large numbers of zeros.

Date Published: 5 August 2009
PDF: 8 pages
Proc. SPIE 7502, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009, 75021C (5 August 2009); doi: 10.1117/12.837670

Published in SPIE Proceedings Vol. 7502:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009
Ryszard S. Romaniuk; Krzysztof S. Kulpa, Editor(s)