DocumentCode
1749728
Title
STFT-based multi-channel acoustic interference suppressor
Author
Avendano, Carlos ; Garcia, Guillermo
Author_Institution
Creative Adv. Technol. Center, Scotts Valley, CA, USA
Volume
1
fYear
2001
fDate
2001
Firstpage
625
Abstract
In this paper we describe a system that suppresses the acoustic interference due to the coupling between the microphone and the loudspeakers of a hands-free multi-channel desktop audio system. The proposed system operates in the short-time Fourier transform domain and uses spectral subtraction to suppress the unwanted interference, which consists of the local audio and the remote speech signal (echo). The interference estimate is obtained with a sub-band RLS-based adaptive multi-channel echo canceller. Test results show that under some adverse conditions and with low complexity constraints the system can achieve better and more consistent speech quality than a time-domain acoustic echo canceller
Keywords
FIR filters; Fourier transforms; Internet telephony; acoustic signal processing; echo suppression; frequency-domain analysis; least squares approximations; spectral analysis; speech enhancement; Internet telephony; STFT-based multi-channel acoustic interference suppressor; VoIP; acoustic interference; adverse conditions; hands-free multi-channel desktop audio system; local audio; loudspeakers; microphone; remote speech signal; short-time Fourier transform domain; spectral subtraction; speech quality; sub-band RLS-based adaptive multi-channel echo canceller; unwanted interference; voice over IP; Acoustic testing; Audio systems; Echo cancellers; Echo interference; Fourier transforms; Interference suppression; Loudspeakers; Microphones; Speech; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location
Salt Lake City, UT
ISSN
1520-6149
Print_ISBN
0-7803-7041-4
Type
conf
DOI
10.1109/ICASSP.2001.940909
Filename
940909
Link To Document