Projects per year
Abstract
In this paper, a blind algorithm is proposed for speech enhancement in multi-speaker scenarios, in which interference rejection is the main objective. Here, the ad hoc array is broken into microphone duples which are used to partition the array into local sub-arrays. The core algorithm takes advantage of differences in signal structure in each duple. A geometric mean filter is then used to merge the output signals obtained with different duples, and to form a global broadband maximum signal-to-interference ratio (SIR) enhancement apparatus. The resulting filter outputs are enhanced acoustic signals in terms of SIR, as shown with experiments.
Original language | English |
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Article number | 07472272 |
Journal | I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings |
Pages (from-to) | 3221-3225 |
ISSN | 1520-6149 |
DOIs | |
Publication status | Published - 20 Mar 2016 |
Event | The 41st IEEE International Conference on Acoustics, Speech and Signal Processing - Shanghai, China Duration: 20 Mar 2016 → 25 Mar 2016 http://www.icassp2016.org/ |
Conference
Conference | The 41st IEEE International Conference on Acoustics, Speech and Signal Processing |
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Country/Territory | China |
City | Shanghai |
Period | 20/03/2016 → 25/03/2016 |
Internet address |
Keywords
- speech enhancement
- signal separation
- multichannel
- microphone array
- ad hoc array
Fingerprint
Dive into the research topics of 'A Partitioned Approach to Signal Separation with Microphone Ad Hoc Arrays'. Together they form a unique fingerprint.Projects
- 2 Finished
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Localization and Tracking of Speech - a Joint Audio-Visual Approach
01/10/2013 → 30/09/2016
Project: Research
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Spatio-Temporal Filtering Methods for Enhancement and Separation of Speech Signals
Christensen, M. G., Nørholm, S. M., Karimian-Azari, S. & Jensen, J. R.
01/08/2012 → 30/06/2015
Project: Research