A New Method to Design Steerable First-Order Differential Beamformers

Leng, Xin; Chen, Jingdong; Benesty, Jacob

doi:10.1109/lsp.2021.3059533

Search citation statements

Order By: Relevance

Paper Sections

Select...

Differential Beamformer1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

2024

Publication Types

Select...

Article5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 7 publications

(1 citation statement)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Here, we utilize a őrst-order Dipole-type differential beamformer [22]. Figure .2 shows its basic structure, The circle 1 and circle 2 represent two microphones.…”

Section: Differential Beamformermentioning

confidence: 99%

Beamforming and lightweight GRU neural network combination model for multi-channel speech enhancement

Cao,

2024

SIViP

View full text Add to dashboard Cite

“…Here, we utilize a őrst-order Dipole-type differential beamformer [22]. Figure .2 shows its basic structure, The circle 1 and circle 2 represent two microphones.…”

Section: Differential Beamformermentioning

confidence: 99%

Beamforming and lightweight GRU neural network combination model for multi-channel speech enhancement

Cao,

2024

SIViP

View full text Add to dashboard Cite

Differential Error Feedback Active Noise Control With the Auxiliary Filter Based Mapping Method

Shi

Liu

et al. 2022

IEEE Signal Process. Lett.

View full text Add to dashboard Cite

This letter proposes a differential error feedback active noise control (FBANC) system in an open end duct to mitigate interferences from its downstream. The interference waves entering the duct cause disturbance to the conventional FBANC controller and even result in divergence of the control filter. This is due to the omni-directivity of the error microphone. The differential microphone array (DMA) can be constructed in a compact size using only one more omni-directional microphone. The DMA forms a frequency-invariant beampattern that presents configurable nulls. When the output of the DMA is used as the error signal, the null can be designed to enhance the robustness of the FBANC system against interferences. However, this differential error signal is converted from the sound pressure gradient instead of the sound pressure. The DMA's location does not precisely indicate the control point where optimum noise reduction has been achieved. To solve this problem, an auxiliary filter based mapping (AFMap) method is developed to map the differential error signal to the location of an omni-directional microphone in the DMA. Experiment results demonstrate that the proposed differential error FBANC system is much less sensitive to interferences than the conventional FBANC system, and the AFMap method can ensure optimum noise reduction occurring at the target control point.

show abstract