Please use this identifier to cite or link to this item: http://hdl.handle.net/11717/3223
Title: Formant extraction from group delay function
Authors: Murthy, H.A.
Yegnanarayana, B.
Keywords: Mathematical Techniques--Algorithms; Mathematical Transformations--Fourier Transforms; Cepstral Smoothing; Formant Extraction; Fourier Transform Phase; Group Delay Function; Homomorphic Deconvolution; Speech
Issue Date: 1991
Citation: Speech Communication, 10(3), 209-221
Abstract: This paper presents an approach based on the properties of group delay functions for extracting formants from speech signals. The algorithm is similar to the cepstral smoothing approach for formant extraction using homomorphic deconvolution. The significant differences are (i) the logarithmic operation is replaced by ()r operation and (ii) the additive and high resolution properties of group delay function are expolited to emphasize formant peaks. The group delay function (or the negative derivative of the Fourier transform phase) is derived for a signal which in turn is derived from the Fourier transform magnitude of the speech signal. If a suitable value of r is used, this method gives highly consistent estimates of formants compared to both the cepstral approach and the model-based linear prediction (LP) approach for smoothing the magnitude spectrum. The effects of the parameters, exponent r and window width p, on the proposed technique for formant extraction are studied. ? 1991.
URI: http://dx.doi.org/10.1016/0167-6393(91)90011-H
http://hdl.handle.net/11717/3223
ISSN: 1676393
Appears in Collections:Articles

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.