A New Approach for Enhancing MVDR Beamformer’s Performance

Lecture Notes in Networks and Systems (LNNS, volume 734); CITA: Conference on Information Technology and its Applications; pp: 321-332.

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Dades bibliogràfiques
Autors principals:	Nguyen, Ba Huy, Pham, Tuan Anh, Quan, Trong The, Dang, Dai Tho
Format:	Bài viết
Idioma:	English
Publicat:	Springer Nature 2023
Matèries:	Microphone array Beamforming Minimum variance distortionless response Signal-to-noise ratio Speech quality Covariance matrix
Accés en línia:	https://link.springer.com/chapter/10.1007/978-3-031-36886-8_27 http://elib.vku.udn.vn/handle/123456789/2721
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Thư viện lưu trữ:	Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng

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spelling	oai:elib.vku.udn.vn:123456789-27212023-09-26T01:29:45Z A New Approach for Enhancing MVDR Beamformer’s Performance Nguyen, Ba Huy Pham, Tuan Anh Quan, Trong The Dang, Dai Tho Microphone array Beamforming Minimum variance distortionless response Signal-to-noise ratio Speech quality Covariance matrix Lecture Notes in Networks and Systems (LNNS, volume 734); CITA: Conference on Information Technology and its Applications; pp: 321-332. 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. 2023-09-26T01:29:24Z 2023-09-26T01:29:24Z 2023-07 Working Paper https://link.springer.com/chapter/10.1007/978-3-031-36886-8_27 978-3-031-36886-8 http://elib.vku.udn.vn/handle/123456789/2721 en application/pdf Springer Nature
institution	Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng
collection	DSpace
language	English
topic	Microphone array Beamforming Minimum variance distortionless response Signal-to-noise ratio Speech quality Covariance matrix
spellingShingle	Microphone array Beamforming Minimum variance distortionless response Signal-to-noise ratio Speech quality Covariance matrix Nguyen, Ba Huy Pham, Tuan Anh Quan, Trong The Dang, Dai Tho A New Approach for Enhancing MVDR Beamformer’s Performance
description	Lecture Notes in Networks and Systems (LNNS, volume 734); CITA: Conference on Information Technology and its Applications; pp: 321-332.
format	Working Paper
author	Nguyen, Ba Huy Pham, Tuan Anh Quan, Trong The Dang, Dai Tho
author_facet	Nguyen, Ba Huy Pham, Tuan Anh Quan, Trong The Dang, Dai Tho
author_sort	Nguyen, Ba Huy
title	A New Approach for Enhancing MVDR Beamformer’s Performance
title_short	A New Approach for Enhancing MVDR Beamformer’s Performance
title_full	A New Approach for Enhancing MVDR Beamformer’s Performance
title_fullStr	A New Approach for Enhancing MVDR Beamformer’s Performance
title_full_unstemmed	A New Approach for Enhancing MVDR Beamformer’s Performance
title_sort	new approach for enhancing mvdr beamformer’s performance
publisher	Springer Nature
publishDate	2023
url	https://link.springer.com/chapter/10.1007/978-3-031-36886-8_27 http://elib.vku.udn.vn/handle/123456789/2721
_version_	1849197921250050048

A New Approach for Enhancing MVDR Beamformer’s Performance

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