Title :
Spectral domain B-spline identification in acoustic echo cancellation
Author :
Zakharov, Y. ; Tozer, T.
Author_Institution :
Dept. of Electron., York Univ., UK
Abstract :
Spectral domain B-spline identification is proposed for acoustic echo cancellation. Two approaches are considered. The first is based on the solution of normal equations; we describe an efficient technique for such a solution, which benefits from the sparseness of the system matrix due to B-splines. The second approach is based on using local splines, enabling further simplification. We also show how the proposed techniques can be used for efficient double-talk detection. The echo cancellation performance and complexity of the proposed techniques are compared with that of a low-complexity cross-spectral technique and the affine projection (AP) algorithm possessing high cancellation performance. The B-spline identification allows cancellation performance comparable with that of the AP algorithm and complexity close to that of the cross-spectral algorithm.
Keywords :
FIR filters; audio signal processing; echo suppression; frequency response; splines (mathematics); acoustic echo cancellation; acoustic frequency response; cubic B-splines; double-talk detection; local splines; spectral domain B-spline identification; system matrix sparseness; time-domain FIR filtering; Delay; Echo cancellers; Equations; Filtering; Finite impulse response filter; Frequency response; Microphones; Signal processing; Spline; Time domain analysis;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1415659