Acoustic echo cancellation using the DUET algorithm based blind separation in a noisy environment
- Authors
- Kim, Kyoung-Jae; Jang, C.S.; Jeong, Je Myung; Nam, Sang Won
- Issue Date
- Nov-2006
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Citation
- IEEE Region 10 Annual International Conference, Proceedings/TENCON, pp.1 - 4
- Indexed
- SCOPUS
- Journal Title
- IEEE Region 10 Annual International Conference, Proceedings/TENCON
- Start Page
- 1
- End Page
- 4
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/180756
- DOI
- 10.1109/TENCON.2006.344091
- ISSN
- 2159-3442
- Abstract
- In hands-free full-duplex communication systems, acoustic noises picked up by the microphones are mixed with echo signals, which may result in poor echo cancellation performance of the communication system. In such cases, a degenerate unmixing estimation technique, adjusted in the time-frequency domain, can be employed to separate undesired echo signals and noises. However, scaling and permutation ambiguities still have to be solved for blind source separation (BSS). In this paper, a new acoustic echo cancellation approach, utilizing the DUET algorithm based BSS, is proposed, whereby a new scale estimation method is introduced along with kurtosis-based desired signal selection. Simulation results demonstrate that the proposed approach yields better echo cancellation and noise reduction performance, compared with conventional methods.
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