Resumé
Capon beamformers, where the underlying principle is to add a steering vector uncertainty constraint and/or a norm constraint to the optimization problem to improve the beamformer’s robustness. The second type is the amplitude and phase estimation method, which utilizes both temporal and spatial smoothing. Experiments are presented to demonstrate the performance of the considered robust beamformers in acoustic environments. The results show that the robust beamformers outperform the non-robust beamformers in terms of predicted speech quality and intelligibility for different steering vector and covariance matrix estimation errors.
Originalsprog | Engelsk |
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Titel | 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) |
Forlag | IEEE |
Publikationsdato | okt. 2017 |
Sider | 86-90 |
ISBN (Elektronisk) | 978-1-5386-1632-1 |
DOI | |
Status | Udgivet - okt. 2017 |
Begivenhed | 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics - Mohonk Mountain House, New Paltz, USA Varighed: 15 okt. 2017 → 18 okt. 2017 http://www.waspaa.com/ |
Workshop
Workshop | 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics |
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Lokation | Mohonk Mountain House |
Land | USA |
By | New Paltz |
Periode | 15/10/2017 → 18/10/2017 |
Internetadresse |
Navn | I E E E Workshop on Applications of Signal Processing to Audio and Acoustics |
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ISSN | 1931-1168 |
Fingerprint
Emneord
- Microphone array
- Capon beamforming
- steering vector error
- robust beamforming
- APES beamforming
Citer dette
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Experimental Study of Robust Beamforming Techniques for Acoustic Applications. / Zhao, Yingke; Jensen, Jesper Rindom; Christensen, Mads Græsbøll; Doclo, Simon; Chen, Jingdong.
2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). IEEE, 2017. s. 86-90 (I E E E Workshop on Applications of Signal Processing to Audio and Acoustics).Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
TY - GEN
T1 - Experimental Study of Robust Beamforming Techniques for Acoustic Applications
AU - Zhao, Yingke
AU - Jensen, Jesper Rindom
AU - Christensen, Mads Græsbøll
AU - Doclo, Simon
AU - Chen, Jingdong
PY - 2017/10
Y1 - 2017/10
N2 - In this paper, we investigate robust beamforming techniques for wideband signal processing in noisy and reverberant environments. In such environments, steering vector estimation errors are in- evitable, leading to a degradation of the beamformer performance. Here, we study two types of beamformers that are robust against steering vector estimation errors. The first type includes robust Capon beamformers, where the underlying principle is to add a steering vector uncertainty constraint and/or a norm constraint to the optimization problem to improve the beamformer’s robustness. The second type is the amplitude and phase estimation method, which utilizes both temporal and spatial smoothing. Experiments are presented to demonstrate the performance of the considered ro- bust beamformers in acoustic environments. The results show that the robust beamformers outperform the non-robust beamformers in terms of predicted speech quality and intelligibility for different s- teering vector and covariance matrix estimation errors.
AB - In this paper, we investigate robust beamforming techniques for wideband signal processing in noisy and reverberant environments. In such environments, steering vector estimation errors are in- evitable, leading to a degradation of the beamformer performance. Here, we study two types of beamformers that are robust against steering vector estimation errors. The first type includes robust Capon beamformers, where the underlying principle is to add a steering vector uncertainty constraint and/or a norm constraint to the optimization problem to improve the beamformer’s robustness. The second type is the amplitude and phase estimation method, which utilizes both temporal and spatial smoothing. Experiments are presented to demonstrate the performance of the considered ro- bust beamformers in acoustic environments. The results show that the robust beamformers outperform the non-robust beamformers in terms of predicted speech quality and intelligibility for different s- teering vector and covariance matrix estimation errors.
KW - Microphone array
KW - Capon beamforming
KW - steering vector error
KW - robust beamforming
KW - APES beamforming
U2 - 10.1109/WASPAA.2017.8170000
DO - 10.1109/WASPAA.2017.8170000
M3 - Article in proceeding
T3 - I E E E Workshop on Applications of Signal Processing to Audio and Acoustics
SP - 86
EP - 90
BT - 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)
PB - IEEE
ER -