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.
|Number of pages||5|
|Journal||Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH|
|Publication status||Published - 2015|
|Event||16th Annual Conference of the International Speech Communication Association, INTERSPEECH 2015 - Dresden, Germany|
Duration: 2015 Sep 6 → 2015 Sep 10
Bibliographical notePublisher Copyright:
Copyright © 2015 ISCA.
All Science Journal Classification (ASJC) codes
- Language and Linguistics
- Human-Computer Interaction
- Signal Processing
- Modelling and Simulation