How to use linear predictive coding to compress voice diphone samples?

1. What is linear predictive coding How does it reduce bit rate?
2. How does linear predictive coding work?
3. How to use LPC in Matlab?
4. Why is LPC used?

What is linear predictive coding How does it reduce bit rate?

Linear predictive coding (LPC) is a method used mostly in audio signal processing and speech processing for representing the spectral envelope of a digital signal of speech in compressed form, using the information of a linear predictive model. LPC is the most widely used method in speech coding and speech synthesis.

How does linear predictive coding work?

Linear predictive coding (LPC) is a method for signal source modelling in speech signal processing. It is often used by linguists as a formant extraction tool. It has wide application in other areas. LPC analysis is usually most appropriate for modeling vowels which are periodic, except nasalized vowels.

How to use LPC in Matlab?

[ a , g ] = lpc( x , p ) finds the coefficients of a p th-order linear predictor, an FIR filter that predicts the current value of the real-valued time series x based on past samples. The function also returns g , the variance of the prediction error.

Why is LPC used?

Linear predictive coding (LPC) is a widely used technique in audio signal processing, especially in speech signal processing. It has found particular use in voice signal compression, allowing for very high compression rates.