An Evaluation of MFCC and ZCR Feature Extraction with CNN Model of Speaker Identification System.
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| Title: | An Evaluation of MFCC and ZCR Feature Extraction with CNN Model of Speaker Identification System. |
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| Authors: | Kaladharan, N.1, Arunkumar, R.2 |
| Source: | Grenze International Journal of Engineering & Technology (GIJET); 2022, Vol. 8 Issue 1, p755-762, 8p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 155858544 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=155858544 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 755 Titles: – TitleFull: An Evaluation of MFCC and ZCR Feature Extraction with CNN Model of Speaker Identification System. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kaladharan, N. – PersonEntity: Name: NameFull: Arunkumar, R. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 23955287 Numbering: – Type: volume Value: 8 – Type: issue Value: 1 Titles: – TitleFull: Grenze International Journal of Engineering & Technology (GIJET) Type: main |
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