Qualitative Spectral Parameter Coding for Speech Signals

Speech signal is the unique and special signal in communication system so it must be analyzed in order to extract its important parameters and to compress it for maximum utilization of available bandwidth. For this, there are various kinds of speech analysis and synthesis techniques that have been effectively used. Among all these techniques, Linear Predictive Coding (LPC) is the most powerful one to represent the speech signal at reduced bit rates while preserving the quality of the signal and also provides accurate estimation of speech parameters and is computationally effective. Voice-excited LPC is the technique proposed in this paper. This technique has been implemented using both male and female voices and trade-offs between bit rates, delay, power signal to noise ratio and complexity are analyzed. It results in a low bit rate and a better signal to noise ratio.