Research Article Open Access

PERFORMANCE ANALYSIS OF SPEECH CODING TECHNIQUES

Abstract

Speech coding has been major issue in the area of digital speech processing. Speech coding is the act of transforming the speech signal in a more compact form, which can be transmitted with few numbers of binary digits. It not possible to access unlimited bandwidth of a channel each time we send a signal across it which leads to code and compress speech signals. Speech compression is required in the areas of long distance communication, high-quality speech storage, and message encryption. For example in digital cellular technology many users need to share the same frequency bandwidth. Utilizing speech compression makes it possible for more users to share the available system. Another example where speech compression is needed in digital voice storage for a fixed amount of available memory compression makes it possible to store longer messages. Speech coding is a lossy type of coding, which means that the output signal does not exactly sound like the input. Linear Predictive coding, Waveform Coding and sub band coding techniques are used to transmit the speech from one place to another. The above mentioned three coding techniques are implemented to check their performance measures like compression ratio and speech audible quality.

K. Satyapriya (M.Tech), Yugandhar Dasari

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