Abstract
In the recent years, there have been an increasing amount of researches aiming at optimal beamforming with ad hoc microphone arrays, mostly fusion-center-based schemes. However, huge computational complexities and communication overheads impede many of these algorithms from being useful in practice. In this paper, we propose a low-footprint optimization approach to reduce the convergence time and overheads for the distributed beamforming problem. We transcribe the pseudo-coherence-based beamforming which is insightful for taking into account the nature of speech. We formulate the distributed minimum variance distortionless response beamformer using the primal-dual method of multipliers. Our experiments confirm the fast convergence using the proposed distributed algorithm. It is also shown how a hard limit on the number of iterations affects the performance of the array in noise and interference suppression.
Original language | English |
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Title of host publication | 2016 24th European Signal Processing Conference (EUSIPCO) |
Place of Publication | Piscataway |
Publisher | IEEE |
Pages | 1088-1092 |
Number of pages | 5 |
ISBN (Electronic) | 978-0-9928-6265-7 |
DOIs | |
Publication status | Published - 1 Dec 2016 |
Event | EUSIPCO 2016: 24th European Signal Processing Conference - Budapest, Hungary Duration: 29 Aug 2016 → 2 Sept 2016 Conference number: 24 http://www.eusipco2016.org/ |
Conference
Conference | EUSIPCO 2016 |
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Abbreviated title | EUSIPCO |
Country/Territory | Hungary |
City | Budapest |
Period | 29/08/16 → 2/09/16 |
Internet address |
Keywords
- Speech enhancement
- ad hoc microphone array
- distributed beamforming
- primal-dual method of multipliers