Subband coding of speech signal using scilab

Abstract

Subband coding decompose the input signal into different frequency bands .After the input is decomposed to its constituents, we can use the coding technique best suited to each constituent to improve the compression performance. Decompose a signal into components by applying frequency-selective filtering. Then select the best coding technique that best suits each component (subjectively and objectively). Subband coding applications are Speech coding ITU-T G.722 Encode high-quality speech at 64/56/48 kbps. Interest in signal processing long predates computers. As long as people have tried to send or receive information through electronic media, such as telegraphs, telephones, television, radar, etc., there has been the realization that these signals may be affected by the system used to acquire, transmit, or process them. Sometimes these systems are imperfect and introduce noise, distortion, or other artifacts. Understanding the effects these systems have and finding ways to correct them is the foundation of signal processing . This paper depicts analysis side of the system implemented using freeware language SCILAB. The synthesis side includes speech production The digital filters have been implemented for extraction feature .The signal processing application of SCILAB has become boon.