Abstract
While the majority of binaural beamformers aim to minimize the output noise power while (approximately) preserving the binaural cues of the sources using constraints, we propose in this paper to minimize the binaural-cue distortions of the sources in the acoustic scene, such that the output noise power is below a predefined threshold. This new problem formulation is a convex QCQP problem, which leads to an efficient trade-off between noise reduction, binaural-cue preservation and complexity. In particular, the proposed beamformer provides a better trade-off between noise reduction and binaural-cue preservation (in terms of interaural level and phase differences) compared to the well-known binaural minimum variance distortionless response-η beamformer.
Original language | English |
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Title of host publication | ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
Place of Publication | Piscataway |
Publisher | IEEE |
Pages | 8013-8017 |
Number of pages | 5 |
ISBN (Electronic) | 978-1-4799-8131-1 |
ISBN (Print) | 978-1-4799-8132-8 |
DOIs | |
Publication status | Published - 2019 |
Event | 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Brighton, United Kingdom Duration: 12 May 2019 → 17 May 2019 |
Conference
Conference | 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 |
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Country/Territory | United Kingdom |
City | Brighton |
Period | 12/05/19 → 17/05/19 |
Keywords
- Binaural beamforming
- binaural cues
- convex optimization
- noise reduction