Speech compression using zeros-ones-position method
Abdel‐Rahman Al‐Qawasmi, Aiman Al-Lawama, Nada Al-Khatib · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
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.