Title :
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
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;
Conference_Titel :
Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5700-0
DOI :
10.1109/ACSSC.1999.831838
