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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/24590
Title: A Complex Neural Network Adaptive Beamforming for Multi-channel Speech Enhancement in Time Domain
Authors: Jiang, T
Liu, H
Zhou, Y
Gan, L
Keywords: end-to-end;multi-channel;speech enhancement;complex operations
Issue Date: 5-Apr-2022
Publisher: Springer, Cham on behalf of ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Citation: Jiang, T., Liu, H., Zhou, Y. and Gan, L. (2022) 'A Complex Neural Network Adaptive Beamforming for Multi-channel Speech Enhancement in Time Domain', in: Gao, H., Wun, J., Yin, J., Shen, F., Shen, Y. and Yu, J. (eds.) Communications and Networking 16th EAI International Conference, ChinaCom 2021 Proceedings, Virtual Event, 21-22 November. (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 433). Cham, Switzerland: Springer, Cham, pp. 129 - 139. doi: 10.1007/978-3-030-99200-2_11.
Series/Report no.: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (LNICST);433
URI: https://bura.brunel.ac.uk/handle/2438/24590
DOI: https://doi.org/10.1007/978-3-030-99200-2_11
ISBN: 978-3-030-99199-9 (hbk)
978-3-030-99200-2 (ebk)
ISSN: 1867-8211
Appears in Collections:Dept of Electronic and Electrical Engineering Embargoed Research Papers

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