Abstract
One of the main difficulties in echo cancellation is the fact that the learning rate needs to vary according to conditions such as double-talk and echo path change. Several methods have been proposed to vary the learning. In this paper we propose a new closed-loop method where the learning rate is proportional to a misalignment parameter, which is in turn estimated based on a gradient adaptive approach. The method is presented in the context of a multidelay block frequency domain (MDF) echo canceller. We demonstrate that the proposed algorithm outperforms current popular double-talk detection techniques by up to 6 dB.
Original language | English |
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Title of host publication | 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 |
Place of Publication | Piscataway, NJ |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 93-96 |
Number of pages | 4 |
Volume | 1 |
ISBN (Print) | 1424407281, 9781424407286 |
DOIs | |
Publication status | Published - 2007 |
Externally published | Yes |
Event | 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States Duration: 15 Apr 2007 → 20 Apr 2007 |
Other
Other | 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 |
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Country/Territory | United States |
City | Honolulu, HI |
Period | 15/04/07 → 20/04/07 |
Keywords
- Acoustic echo cancellation
- Adaptive filters
- Double-talk
- Learning rate