Name
Abstract | ||
|---|---|---|
In this paper, we propose an acoustic echo cancellation (AEC) using a sub-adaptive filter. In the AEC, the step-size parameter of the adaptive filter must be varied according to the situations where a double talk and an echo path change occur. The proposed AEC can appropriately control the step-size parameter even if the double talk and the echo path change simultaneously occur because the optimal step-size parameter can be obtained according to the output of the sub-adaptive filter and the echo path change detector is controlled through the double talk detector. Hence, the proposed AEC can realize superior convergence property to the conventional one. Simulation results demonstrate that the proposed AEC can achieve higher ERLE and faster convergence than the conventional one. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1093/ietfec/e91-a.4.1155 | Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference |
Keywords | Field | DocType |
superior convergence,sub-adaptive filter,conventional aec,faster convergence,proposed aec,step-size parameter,adaptive filter,double talk,acoustic echo cancellation,echo path change,acoustic echo canceller,loudspeakers,convergence,detectors,adaptive filters,acoustic noise,acoustical engineering,optimal control | Convergence (routing),Pattern recognition,Computer science,Algorithm,Speech recognition,Artificial intelligence,Adaptive filter,Filtering theory,Double-talk,Double talk detector | Journal |
Volume | Issue | ISSN |
91-A | 4 | 1520-6149 |
ISBN | Citations | PageRank |
1-4244-0727-3 | 1 | 0.36 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Satoshi Ohta | 1 | 1 | 0.36 |
| Yoshinobu Kajikawa | 2 | 93 | 34.15 |
| Yasuo Nomura | 3 | 47 | 11.75 |