Wavelet-based noise reduction

Author

Whitmal, Nathaniel A. ; Rutledge, Janet C. ; Cohen, Jonathan

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA

Volume

5

fYear

1995

fDate

9-12 May 1995

Firstpage

3003

Abstract

A novel method for enhancement of noisy speech is presented. Frames of speech samples are split into low and high frequency bands and projected onto a library of bases consisting of local trigonometric functions and wavelet packets. Coefficients thought to represent only the speech are selected by means of the minimum description length (MDL) criterion, and used to synthesize an estimate of the original speech. A tracking algorithm uses MDL values to choose between the MDL processor and alternate processors which reject audible artifacts. Preliminary results indicate that the new algorithm may be useful in applications requiring a single-microphone noise reduction system for speech

Keywords

acoustic noise; acoustic signal processing; interference suppression; speech enhancement; wavelet transforms; audible artifact; enhancement; frames; local trigonometric functions; minimum description length; noisy speech; single-microphone noise reduction system; speech samples; tracking algorithm; wavelet packets; wavelet-based noise reduction; Acoustic noise; Additive white noise; Auditory system; Frequency; Libraries; Mathematics; Noise reduction; Signal processing algorithms; Speech enhancement; Speech processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.479477

Filename

479477