Abstract
Recently three different modifications over the Burg method of autoregressive (AR) spectral estimation are proposed by Swingler [5], Kaveh and Lippert [6], and Scott and Nikias [7], where the linear prediction error is weighted prior to its minimization. In the present paper, we study these weighted Burg methods for pitch-synchronous analysis of short segments (duration less than one pitch period) of non-nasalized voiced speech and make their comparative performance evaluation. Errors in estimating the power spectrum, formant frequencies and formant bandwidths are used as criteria for performance evaluation. It is shown that the weighted Burg method of Kaveh and Lippert results in the best performance. These methods are also compared with the autocorrelation and covariance methods and the results are discussed.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
