An adaptive notch filter used for sinusoidal and transient modeling of speech signals

Author

DeBrunner, Victor E.

Author_Institution

Sch. of Electr. Eng. & Comput. Sci., Oklahoma Univ., Norman, OK, USA

Volume

2

fYear

1999

fDate

24-27 Oct. 1999

Firstpage

893

Abstract

Tracking non-stationary narrow-band signals is an important problem in many DSP problems such as speech processing. We develop a method for modeling speech signals as sinusoids and transients using our previously developed frequency-transform based notch filter. The proposed method provides an efficient spectral peaks picking algorithm and good speech signal modeling.

Keywords

adaptive filters; adaptive signal processing; filtering theory; frequency estimation; notch filters; speech processing; transforms; transient analysis; DSP problems; adaptive notch filter; efficient spectral peaks picking algorithm; frequency estimation; frequency-transform based notch filter; nonstationary narrow-band signals tracking; sinusoidal modeling; speech processing; speech signal modeling; transient modeling; Adaptive filters; Digital signal processing; Frequency estimation; Matching pursuit algorithms; Narrowband; Poles and zeros; Pursuit algorithms; Speech processing; Speech recognition; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-5700-0

Type

conf

DOI

10.1109/ACSSC.1999.831838

Filename

831838