Audio Dequantization Using (Co)Sparse (Non)Convex Methods
| dc.contributor.author | Záviška, Pavel | cs |
| dc.contributor.author | Rajmic, Pavel | cs |
| dc.contributor.author | Mokrý, Ondřej | cs |
| dc.coverage.issue | 1 | cs |
| dc.coverage.volume | 2021 | cs |
| dc.date.accessioned | 2021-11-30T11:55:16Z | |
| dc.date.available | 2021-11-30T11:55:16Z | |
| dc.date.issued | 2021-05-13 | cs |
| dc.description.abstract | The paper deals with the hitherto neglected topic of audio dequantization. It reviews the state-of-the-art sparsity-based approaches and proposes several new methods. Convex as well as non-convex approaches are included, and all the presented formulations come in both the synthesis and analysis variants. In the experiments the methods are evaluated using the signal-to-distortion ratio (SDR) and PEMO-Q, a perceptually motivated metric. | en |
| dc.format | text | cs |
| dc.format.extent | 701-705 | cs |
| dc.format.mimetype | application/pdf | cs |
| dc.identifier.citation | Proc. International Conference on Acoustics, Speech, and Signal Processing. 2021, vol. 2021, issue 1, p. 701-705. | en |
| dc.identifier.doi | 10.1109/ICASSP39728.2021.9414637 | cs |
| dc.identifier.isbn | 978-1-7281-7605-5 | cs |
| dc.identifier.issn | 1520-6149 | cs |
| dc.identifier.other | 171056 | cs |
| dc.identifier.uri | http://hdl.handle.net/11012/203006 | |
| dc.language.iso | en | cs |
| dc.publisher | IEEE | cs |
| dc.relation.ispartof | Proc. International Conference on Acoustics, Speech, and Signal Processing | cs |
| dc.relation.uri | https://ieeexplore.ieee.org/document/9414637 | cs |
| dc.rights | (C) IEEE | cs |
| dc.rights.access | openAccess | cs |
| dc.rights.sherpa | http://www.sherpa.ac.uk/romeo/issn/1520-6149/ | cs |
| dc.subject | Audio dequantization | en |
| dc.subject | Sparsity | en |
| dc.subject | Cosparsity | en |
| dc.subject | Convex | en |
| dc.subject | Nonconvex | en |
| dc.subject | Evaluation | en |
| dc.subject | Perception | en |
| dc.title | Audio Dequantization Using (Co)Sparse (Non)Convex Methods | en |
| dc.type.driver | conferenceObject | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | acceptedVersion | en |
| sync.item.dbid | VAV-171056 | en |
| sync.item.dbtype | VAV | en |
| sync.item.insts | 2021.11.30 12:55:16 | en |
| sync.item.modts | 2021.11.30 12:15:32 | en |
| thesis.grantor | Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikací | cs |
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