Tracking spectral resonances

Author

Ting, Y.T. ; Childers, D.G. ; Principe, J.C.

Author_Institution

Dept. of Electr. Eng., Florida Univ., Gainesville, FL, USA

fYear

1988

fDate

3-5 Aug 1988

Firstpage

49

Lastpage

54

Abstract

An adaptive filter approach that tracks the time-varying parameters of the vocal tract and updates the parameters during the glottal closed phase interval can reduce the formant estimation error. The authors describe three adaptive algorithms for estimating time-varying vocal track parameters: weighted recursive least squared (WRLS), WRLS with variable forgetting factor (WRLS-VFF), and weighted least squared lattice (WLSL). A recursive equation to update the forgetting factor in the WRLS-VFF algorithm is derived, and experimental results for both synthetic and real speech for the above algorithms are given. Results show that the WRLS-VFF algorithm offers a more accurate formant estimation and a faster formant tracking ability than either the WLSL or the WRLS algorithm

Keywords

adaptive filters; errors; estimation theory; filtering and prediction theory; least squares approximations; spectral analysis; speech analysis and processing; adaptive algorithms; adaptive filter; formant estimation error; glottal closed phase interval; real speech; recursive equation; spectral resonances; synthetic speech; time-varying parameters; time-varying vocal track parameters; variable forgetting factor; vocal tract; weighted least squared lattice; weighted recursive least squared; Adaptive algorithm; Estimation error; Frequency estimation; Linear predictive coding; Resonance; Signal analysis; Speech analysis; Speech coding; Speech processing; Speech synthesis;

fLanguage

English

Publisher

ieee

Conference_Titel

Spectrum Estimation and Modeling, 1988., Fourth Annual ASSP Workshop on

Conference_Location

Minneapolis, MN

Type

conf

DOI

10.1109/SPECT.1988.206161

Filename

206161