Deep fusion framework for speech command recognition using acoustic and linguistic features.
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| Title: | Deep fusion framework for speech command recognition using acoustic and linguistic features. |
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| Authors: | Mehra, Sunakshi1, mehra.sunakshi623@gmail.com, Susan, Seba1 |
| Source: | Multimedia Tools & Applications; Oct2023, Vol. 82 Issue 25, p38667-38691, 25p |
| 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: 172895086 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deep fusion framework for speech command recognition using acoustic and linguistic features. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Mehra%2C+Sunakshi%22">Mehra, Sunakshi</searchLink><relatesTo>1</relatesTo>, <i>mehra.sunakshi623@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Susan%2C+Seba%22">Susan, Seba</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; Oct2023, Vol. 82 Issue 25, p38667-38691, 25p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=172895086 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-023-15118-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 38667 Titles: – TitleFull: Deep fusion framework for speech command recognition using acoustic and linguistic features. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mehra, Sunakshi – PersonEntity: Name: NameFull: Susan, Seba IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 10 Text: Oct2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 82 – Type: issue Value: 25 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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