Acoustic echo-canceler using the FBAF algorithm

Author

Asharif, Mohammad Reza ; Amano, Fumio

Author_Institution

Dept. of Electr. and Electron. Eng., Teheran Univ., Iran

Volume

42

Issue

12

fYear

1994

fDate

12/1/1994 12:00:00 AM

Firstpage

3090

Lastpage

3094

Abstract

An acoustic echo-canceler for teleconferencing systems is realized based on the frequency bin adaptive filtering (FBAF) algorithm. In the FBAF algorithm, each frequency bin does an independent adaptive filtering, so that parallel processing can be used to increase the throughput of the system. Hardware size can be reduced to about 25% of the FIR time domain adaptive filter (TDAF) requirement. The realized echo canceler allows a comfortable conversation with only 8 ms of delay. The hardware prototype contains 12 VSP chips and one DSP chip, An ERLE (echo return loss enhancement) of 30 dB was achieved using this prototype hardware for an echo reverberation path with 260 ms delay. An efficient method for normalizing the convergence factor of the FBAF algorithm with a correlated input signal is given that speeds up the convergence rate. The performance is shown by computer simulation

Keywords

acoustic signal processing; adaptive filters; digital filters; digital signal processing chips; echo suppression; parallel architectures; speech intelligibility; speech processing; teleconferencing; vector processor systems; 260 ms; 30 dB; 8 ms; DSP chip; ERLE; FBAF algorithm; VSP chips; acoustic echo-canceler; convergence factor; conversation; correlated input signal; echo return loss enhancement; echo reverberation path; frequency bin adaptive filtering; hardware size; parallel processing; performance; teleconferencing systems; throughput; Adaptive filters; Convergence; Delay; Echo cancellers; Filtering algorithms; Frequency; Hardware; Parallel processing; Prototypes; Teleconferencing;

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/26.339827

Filename

339827