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DC Field | Value | Language |
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dc.contributor.author | Wu, J | - |
dc.contributor.author | Liu, H | - |
dc.contributor.author | Gan, L | - |
dc.contributor.author | Zhou, Y | - |
dc.coverage.spatial | Online | - |
dc.date.accessioned | 2023-12-21T17:04:05Z | - |
dc.date.available | 2023-12-21T17:04:05Z | - |
dc.date.issued | 2022-03-01 | - |
dc.identifier | ORCID iD: Lu Gan https://orcid.org/0000-0003-1056-7660 | - |
dc.identifier | 012001 | - |
dc.identifier.citation | Wu, J. et al. (2022) 'A Single Channel End-to-End Speech Enhancement using Complex Operations', Journal of Physics: Conference Series, 2218 (1), 012001, pp. 1 - 6. doi: 10.1088/1742-6596/2218/1/012001. | en_US |
dc.identifier.issn | 1742-6588 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/27910 | - |
dc.description.abstract | © Copyright 2021 The Authors. This paper investigates the possibility of using complex operations to perform speech enhancement task in time domain. To that end, first, the Hilbert transform is utilized to prepare the complex input in time domain. After that, the complex temporal convolutional network (CTCN) is developed to conduct complex convolutions. By cascading the TCN and the CTCN modules, the final proposed network form an encoder-decoder structure, which performs an end-to-end speech enhancement task. The results demonstrate that utilizing complex information in time domain indeed improves the enhancement performance. Compared to other approaches, the proposed network also demonstrates a superior performance in terms of objective evaluations. | en_US |
dc.format.extent | 1 - 6 | - |
dc.format.medium | Print-Electronic | - |
dc.language | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | IOP Press | en_US |
dc.rights | © Copyright 2021 The Authors. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence (https://creativecommons.org/licenses/by/3.0). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. | - |
dc.rights.uri | https://creativecommons.org/licenses/by/3.0 | - |
dc.source | 3rd International Conference on Computer, Communications and Mechatronics Engineering (CCME 2021) | - |
dc.source | 3rd International Conference on Computer, Communications and Mechatronics Engineering (CCME 2021) | - |
dc.subject | speech enhancement | en_US |
dc.subject | single-channel | en_US |
dc.subject | complex network | en_US |
dc.subject | time domain | en_US |
dc.title | A Single Channel End-to-End Speech Enhancement using Complex Operations | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | https://doi.org/10.1088/1742-6596/2218/1/012001 | - |
dc.relation.isPartOf | Journal of Physics: Conference Series | - |
pubs.finish-date | 2021-12-18 | - |
pubs.finish-date | 2021-12-18 | - |
pubs.issue | 1 | - |
pubs.publication-status | Published | - |
pubs.start-date | 2021-12-17 | - |
pubs.start-date | 2021-12-17 | - |
pubs.volume | 2218 | - |
dc.identifier.eissn | 1742-6596 | - |
dc.rights.holder | The Authors | - |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
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