Spectral subtraction in the time-frequency domain using wavelet packets

Author

Bodin, Per ; Villemoes, Lars F.

Author_Institution

R. Inst. of Technol., Stockholm, Sweden

fYear

1997

fDate

7-10 Sep 1997

Firstpage

47

Lastpage

48

Abstract

This paper deals with the problem of enhancement of speech signals in slowly varying background noise. The method suggested uses the wavelet packet transform together with a simple statistical model of the noise. As in spectral subtraction, information about the background is collected during non-speech intervals. The signal estimate is obtained with spectral subtraction in the time-frequency domain and a rule for choosing the most favorable time-frequency decomposition is suggested. The method is demonstrated with a real-data example

Keywords

acoustic noise; acoustic signal processing; adaptive signal processing; noise abatement; spectral analysis; speech enhancement; speech processing; statistical analysis; time-frequency analysis; wavelet transforms; acoustic noise; adaptive time-frequency method; car noise; mobile telephone systems; nonspeech intervals; real-data; signal estimate; slowly varying background noise; spectral subtraction; speech coder; speech signals enhancement; statistical model; time-frequency decomposition; time-frequency domain; wavelet packet transform; Background noise; Board of Directors; Cost function; Electronic mail; Sensor systems; Speech enhancement; Time frequency analysis; Wavelet domain; Wavelet packets; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Speech Coding For Telecommunications Proceeding, 1997, 1997 IEEE Workshop on

Conference_Location

Pocono Manor, PA

Print_ISBN

0-7803-4073-6

Type

conf

DOI

10.1109/SCFT.1997.623889

Filename

623889