Title :
Spectral subtraction in the time-frequency domain using wavelet packets
Author :
Bodin, Per ; Villemoes, Lars F.
Author_Institution :
R. Inst. of Technol., Stockholm, Sweden
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;
Conference_Titel :
Speech Coding For Telecommunications Proceeding, 1997, 1997 IEEE Workshop on
Conference_Location :
Pocono Manor, PA
Print_ISBN :
0-7803-4073-6
DOI :
10.1109/SCFT.1997.623889
