Relevance-based quantization of scattering features for unsupervised mining of environmental audio.
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| Title: | Relevance-based quantization of scattering features for unsupervised mining of environmental audio. |
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| Authors: | Lostanlen, Vincent1, vincent.lostanlen@nyu.edu, Lafay, Grégoire2, lafaygregoire@gmail.com, Andén, Joakim3, janden@flatironinstitute.org, Lagrange, Mathieu2, mathieu.lagrange@cnrs.fr |
| Source: | EURASIP Journal on Audio Speech & Music Processing; 9/29/2018, Vol. 2018 Issue 1, p1-1, 1p |
| Database: | Applied Science & Technology Source |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 132085377 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=132085377 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s13636-018-0138-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: 1 Titles: – TitleFull: Relevance-based quantization of scattering features for unsupervised mining of environmental audio. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lostanlen, Vincent – PersonEntity: Name: NameFull: Lafay, Grégoire – PersonEntity: Name: NameFull: Andén, Joakim – PersonEntity: Name: NameFull: Lagrange, Mathieu IsPartOfRelationships: – BibEntity: Dates: – D: 29 M: 09 Text: 9/29/2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 16874714 Numbering: – Type: volume Value: 2018 – Type: issue Value: 1 Titles: – TitleFull: EURASIP Journal on Audio Speech & Music Processing Type: main |
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