Please use this identifier to cite or link to this item: https://elib.vku.udn.vn/handle/123456789/2325
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dc.contributor.authorQuan, Trong The-
dc.contributor.authorPham, Tuan Anh-
dc.contributor.authorNguyen, Ba Huy-
dc.date.accessioned2022-08-17T03:24:56Z-
dc.date.available2022-08-17T03:24:56Z-
dc.date.issued2022-07-
dc.identifier.issn978-604-84-6711-1-
dc.identifier.urihttp://elib.vku.udn.vn/handle/123456789/2325-
dc.descriptionThe 11th Conference on Information Technology and its Applications; Topic: Network and Communications; pp.546-553.vi_VN
dc.description.abstractThe Minimum Variance Distortionless Response's performance can be increased by improving its capability of alleviating unwanted noise, third-party speaker, complex recording scenario, interference to enhance speech enhancement. With the inventions of new smart acoustic equipment, microphone array technology is often preferred used for dealing the more complex problem of speech enhancement. The signal processing methods, which steers the beampattern to the direction of sound source, are named beamformer. In this contribution, the author proposed method for enhancing the effectiveness of MVDR beamformer in presence of complex environment with the aim to achieve the target directional speaker's component while suppressing all surrounding noise. The illustrated experiment was confirmed with the improvement of the signal-to-noise ratio from 4.7 (dB) to 8.1 (db). the obtained speech quality satisfied the requirement of improving speech quality in complex recording scenario. The suggested technique can be used widely in other speech applications with multiple microphones.vi_VN
dc.language.isoenvi_VN
dc.publisherDa Nang Publishing Housevi_VN
dc.subjectMicrophone arrayvi_VN
dc.subjectMinimum Variance Distortionless Responsevi_VN
dc.subjectspeech enhancementvi_VN
dc.subjectnoise reductionvi_VN
dc.subjectthe signal-to-noise ratiovi_VN
dc.subjectdiagonal loadingvi_VN
dc.subjecttarget speakervi_VN
dc.titleThe Using of Diagonal Loading Technique to Improve MVDR Beamformervi_VN
dc.typeWorking Papervi_VN
Appears in Collections:CITA 2022

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