GlocalEmoNet: An optimized neural network for music emotion classification and segmentation using timbre and chroma features.
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| Title: | GlocalEmoNet: An optimized neural network for music emotion classification and segmentation using timbre and chroma features. |
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| Authors: | Pandeya, Yagya Raj1,2, yagyapandeya@gmail.com, Lee, Joonwhoan3 |
| Source: | Multimedia Tools & Applications; Sep2024, Vol. 83 Issue 30, p74141-74158, 18p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 179395162 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: GlocalEmoNet: An optimized neural network for music emotion classification and segmentation using timbre and chroma features. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Pandeya%2C+Yagya+Raj%22">Pandeya, Yagya Raj</searchLink><relatesTo>1,2</relatesTo>, <i>yagyapandeya@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Lee%2C+Joonwhoan%22">Lee, Joonwhoan</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; Sep2024, Vol. 83 Issue 30, p74141-74158, 18p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=179395162 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-024-18246-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 74141 Titles: – TitleFull: GlocalEmoNet: An optimized neural network for music emotion classification and segmentation using timbre and chroma features. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pandeya, Yagya Raj – PersonEntity: Name: NameFull: Lee, Joonwhoan IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 09 Text: Sep2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 83 – Type: issue Value: 30 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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