Abstract
Burg's method of maximum entropy spectral analysis is used to analyse voiced speech signal and its performance is compared with that of the autocorrelation and covariance methods of linear prediction using the following three criteria: (1) normalized total-squared linear prediction error, (2) error in estimating the power spectrum and (3) errors in estimating the first three formant frequencies and bandwidths. Results of pitch-synchronous and pitch-asynchronous analyses when applied to synthetic vowel signals are discussed.
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