Hybrid Deep Learning Model for Singing Voice Separation
| dc.contributor.author | Amer, Rusul | |
| dc.contributor.author | Al Tmeme, Ahmed | |
| dc.coverage.issue | 2 | cs |
| dc.coverage.volume | 27 | cs |
| dc.date.accessioned | 2022-01-26T08:21:47Z | |
| dc.date.available | 2022-01-26T08:21:47Z | |
| dc.date.issued | 2021-12-21 | cs |
| dc.description.abstract | Monaural source separation is a challenging issue due to the fact that there is only a single channel available; however, there is an unlimited range of possible solutions. In this paper, a monaural source separation model based hybrid deep learning model, which consists of convolution neural network (CNN), dense neural network (DNN) and recurrent neural network (RNN), will be presented. A trial and error method will be used to optimize the number of layers in the proposed model. Moreover, the effects of the learning rate, optimization algorithms, and the number of epochs on the separation performance will be explored. Our model was evaluated using the MIR-1K dataset for singing voice separation. Moreover, the proposed approach achieves (4.81) dB GNSDR gain, (7.28) dB GSIR gain, and (3.39) dB GSAR gain in comparison to current approaches | en |
| dc.format | text | cs |
| dc.format.extent | 44-50 | cs |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Mendel. 2021 vol. 27, č. 2, s. 44-50. ISSN 1803-3814 | cs |
| dc.identifier.doi | 10.13164/mendel.2021.2.044 | en |
| dc.identifier.issn | 2571-3701 | |
| dc.identifier.issn | 1803-3814 | |
| dc.identifier.uri | http://hdl.handle.net/11012/203391 | |
| dc.language.iso | en | cs |
| dc.publisher | Institute of Automation and Computer Science, Brno University of Technology | cs |
| dc.relation.ispartof | Mendel | cs |
| dc.relation.uri | https://mendel-journal.org/index.php/mendel/article/view/139 | cs |
| dc.rights | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license | en |
| dc.rights.access | openAccess | en |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0 | en |
| dc.subject | Monaural Source Separation | en |
| dc.subject | Hybrid Deep Learning | en |
| dc.subject | Time Frequency Masking | en |
| dc.subject | Convolution Neural Network | en |
| dc.subject | Dense Neural Network | en |
| dc.subject | Recurrent Neural Network | en |
| dc.title | Hybrid Deep Learning Model for Singing Voice Separation | en |
| dc.type.driver | article | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
| eprints.affiliatedInstitution.faculty | Fakulta strojního inženýrství | cs |
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