Pareto Optimal Binaural MVDR Beamformer with Controllable Interference Suppression

Hadad, Elior; Doclo, Simon; Nordholm, Sven; Gannot, Sharon

doi:10.1109/iwaenc53105.2022.9914759

Cited by 1 publication

(2 citation statements)

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“…In the second part, the target signal is extracted sample-bysample with the quasi-causal spatial filter, which is performed in parallel with the first part. That is, by setting T ′ start and T ′ end in (8) to the previous time frames, we can reduce the algorithmic delay for target source extraction to δ samples. The delay can even be zero samples.…”

Section: A Overview Of Proposed Systemmentioning

confidence: 99%

“…To avoid distorting the target signal, distortionless beamformers, including the minimum power distortionless response (MPDR) and minimum variance distortionless response (MVDR) beamformers, have been investigated [6], [7]. The distortionless beamformers have achieved promising results in many applications, including assistive hearing devices [8]- [12].…”

Section: Introductionmentioning

confidence: 99%

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Causal and Relaxed-Distortionless Response Beamforming for Online Target Source Extraction

Masuyama,

Yamaoka,

Kinoshita

et al. 2024

IEEE/ACM Trans. Audio Speech Lang. Process.

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In this paper, we propose a low-latency beamforming method for target source extraction. Beamforming has been performed in the time-frequency domain and achieved promising results in offline applications. Meanwhile, it causes a long algorithmic delay due to the frame analysis. Such a delay is unacceptable in various low-latency real-time applications, including hearing aids. To reduce this delay, we propose a causal variant of the minimum power distortionless response (MPDR) beamformer. The proposed method constraints the non-causal components of the spatial filter to be zero in the optimization of the MPDR beamformer. The algorithmic delay is reduced to zero by applying the causal spatial filter in the time domain. We further propose to relax the distortionless constraint regarding the gain, which allows us to improve the extraction performance without a phase delay. The Douglas-Rachford splitting method and its online extension are adopted to solve the optimization problems of the proposed methods. In our experiment, the relaxed method outperformed various low-latency beamforming methods in terms of extraction performance.

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Section: A Overview Of Proposed Systemmentioning

confidence: 99%