Abstract
The Burg maximum-entropy (ME) method of spectral analysis is used to estimate the short-time spectral envelope of the voiced speech-signal. A number of vowel segments from continuous speech are analysed using this method. The Burg ME method is compared with the autocorrelation and covariance methods of linear prediction using normalized linear prediction error and accuracy in estimating the speech spectrum as criteria. The results obtained from pitch-synchronous and pitch-asynchronous analysis of vowel segments are discussed.
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