Linear prediction with a variable analysis frame size

Abstract

This paper describes a speech analysis-synthesis system based on stationary linear prediction formulation. This system uses a variable analysis frame size concept. The k-parameters are used to represent the spectral information in the speech. The statistical and quantization properties of k-parameters are studied in detail. A method for calculating the analysis frame size based on energy and pitch period variations within a speech waveform has been developed. The speech analysis-synthesis system has been implemented on the computing facility of the Signal Processing Laboratory at Case Western Reserve University. Average data rates of 4800, 3600, and 2400 bits/s have been achieved on a limited speech data base of male speakers.