Adaptive WRLS-VFF for speech analysis

Author

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

Author_Institution

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

Volume

3

Issue

3

fYear

1995

fDate

5/1/1995 12:00:00 AM

Firstpage

209

Lastpage

213

Abstract

The paper shows that an adaptive weighted recursive least squares algorithm with a variable forgetting factor (WRLS-VFF) will adjust the size of the data segment to be analyzed according to its time-varying characteristics, as during the transitions between vowels and consonants. The algorithm can accurately estimate the vocal tract formants, anti-formants, and their bandwidths, be used for glottal inverse filtering, perform voiced (V)/unvoiced (U)/silent (S) classification of speech segments, estimate the input excitation (either white noise or periodic pulse trains), and estimate the instant of glottal closure

Keywords

adaptive estimation; adaptive filters; autoregressive moving average processes; least squares approximations; recursive estimation; recursive filters; speech processing; white noise; adaptive WRLS-VFF; adaptive weighted recursive least squares algorithm; anti-formants; bandwidths; consonants; data segment; glottal closure instant; glottal inverse filtering; input excitation; periodic pulse trains; silent classification; speech analysis; speech segments; time-varying characteristic; unvoiced classification; variable forgetting factor; vocal tract formants; voiced classification; vowels; white noise; Algorithm design and analysis; Bandwidth; Estimation error; Filtering algorithms; Gaussian noise; Least squares methods; Noise measurement; Parameter estimation; Speech analysis; Speech enhancement;

fLanguage

English

Journal_Title

Speech and Audio Processing, IEEE Transactions on

Publisher

ieee

ISSN

1063-6676

Type

jour

DOI

10.1109/89.388148

Filename

388148