Projects per year
Abstract
In this work, we consider enhancement of multichannel speech recordings. Linear filtering and subspace approaches have been considered previously for solving the problem. The current linear filtering methods, although many variants exist, have limited control of noise reduction and speech distortion. Subspace approaches, on the other hand, can potentially yield better control by filtering in the eigen-domain, but traditionally these approaches have not been optimized explicitly for traditional noise reduction and signal distortion measures. Herein, we combine these approaches by deriving optimal filters using a joint diagonalization as a basis. This gives excellent control over the performance, as we can optimize for noise reduction or signal distortion performance. Results from real data experiments show that the proposed variable span filters can achieve better performance than existing filters. In terms of output SNR, the gain was more than 8~dB, and more than 0.1 in mean opinion score in the conducted experiments.
Original language | English |
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Journal | I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings |
Number of pages | 5 |
ISSN | 1520-6149 |
DOIs | |
Publication status | Published - 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
- joint diagonlization
- optimal filtering
- multichannel enhancement
- tradeoff filter
Fingerprint
Dive into the research topics of 'Variable Span Filters for Speech Enhancement'. 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