Abstract
This paper proposes an efficient way of integrating acoustic echo canceller (AEC) and background noise reduction (NR) modules for voice communication systems. The main strategy for designing a standalone AEC or NR module is straightfor- ward, but it is not easy to integrate two modules in a single system because of the undesired effect caused by the nonlinear nature of each module's output. The proposed algorithm di- rectly estimates noise and echo components from the observed signal, then they are utilized in the process of updating AEC module. Since the estimation step is independent of the ac- tual processing of NR module, the nonlinear effect caused by coupling the NR module with the AEC module can be mini- mized. Experimental results show that the proposed algorithm achieves the performance of standalone AEC in terms of echo- return-loss-enhancement (ERLE) metric while maintaining that of standalone NR module in the spectral distortion aspect.
Original language | English |
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Pages (from-to) | 1770-1774 |
Number of pages | 5 |
Journal | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH |
Volume | 2015-January |
Publication status | Published - 2015 |
Event | 16th Annual Conference of the International Speech Communication Association, INTERSPEECH 2015 - Dresden, Germany Duration: 2015 Sept 6 → 2015 Sept 10 |
Bibliographical note
Publisher Copyright:Copyright © 2015 ISCA.
All Science Journal Classification (ASJC) codes
- Language and Linguistics
- Human-Computer Interaction
- Signal Processing
- Software
- Modelling and Simulation