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Title: A New Approach for Enhancing MVDR Beamformer’s Performance
Authors: Nguyen, Ba Huy
Pham, Tuan Anh
Quan, Trong The
Dang, Dai Tho
Keywords: Microphone array
Minimum variance distortionless response
Signal-to-noise ratio
Speech quality
Covariance matrix
Issue Date: Jul-2023
Publisher: Springer Nature
Abstract: Minimum Variance Distortionless Response (MVDR) has many applications in the microphone array processing approach due to its advantages of suppressing background noise, interference, or third-party speaker. However, in real-life recording situations, the performance of the MVDR beamformer is often degraded by microphone mismatches, different microphone sensitivities, or errors in microphone distribution. Therefore, in this paper, the authors suggested a new approach, which uses an additive matrix for modifying the covariance matrix of observed microphone array data. The illustrated experiments were evaluated in a living room with a dual-microphone system (DMA2) and a stand speaker in the presence of noise. The theoretical results are further confirmed in terms of the signal-to-noise ratio (SNR) and the speech intelligibility of the output signal. The proposed method can be integrated into systems with multiple microphones and in annoying complex environments.
Description: Lecture Notes in Networks and Systems (LNNS, volume 734); CITA: Conference on Information Technology and its Applications; pp: 321-332.
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ISBN: 978-3-031-36886-8
Appears in Collections:CITA 2023 (International)

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