Analysis of Multimedia Feature Extraction Technology in College Vocal Performance Teaching Mode Based on Multimodal Multimedia Information

Nie, W; Ng, W

Analysis of Multimedia Feature Extraction Technology in College Vocal Performance Teaching Mode Based on Multimodal Multimedia Information

Nie, W Ng, W

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Publisher:: IGI Global
Publication Type:: Journal Article
Citation:: International Journal of Web-Based Learning and Teaching Technologies, 2023, 18, (2), pp. 1-12
Issue Date:: 2023-01-01

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Field	Value	Language
dc.contributor.author	Nie, W
dc.contributor.author	Ng, W https://orcid.org/0000-0003-2183-5245
dc.date.accessioned	2024-04-16T21:53:00Z
dc.date.available	2024-04-16T21:53:00Z
dc.date.issued	2023-01-01
dc.identifier.citation	International Journal of Web-Based Learning and Teaching Technologies, 2023, 18, (2), pp. 1-12
dc.identifier.issn	1548-1093
dc.identifier.issn	1548-1107
dc.identifier.uri	http://hdl.handle.net/10453/177981
dc.description.abstract	This article is based on the application research of multimedia feature extraction technology in the development of vocal performance teaching in universities. Combining with the core image and sound modules in feature extraction technology, this article proposes an application model of multimedia feature extraction technology based on image HOG algorithm and Mel spectrum for vocal audio recognition in vocal performance teaching in universities. Experiments have shown that the features extracted by this method can not only effectively identify the styles of different types of singing works, but also recognize the personality characteristics of singers. At the same time, it can effectively reduce the misclassification rate caused by noise interference, thereby improving the recognition rate.
dc.language	ng
dc.publisher	IGI Global
dc.relation.ispartof	International Journal of Web-Based Learning and Teaching Technologies
dc.relation.isbasedon	10.4018/IJWLTT.329604
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	1301 Education Systems, 2001 Communication and Media Studies
dc.subject.classification	3903 Education systems
dc.title	Analysis of Multimedia Feature Extraction Technology in College Vocal Performance Teaching Mode Based on Multimodal Multimedia Information
dc.type	Journal Article
utslib.citation.volume	18
utslib.for	1301 Education Systems
utslib.for	2001 Communication and Media Studies
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Arts and Social Sciences
pubs.organisational-group	University of Technology Sydney/Faculty of Arts and Social Sciences/School of International Studies
pubs.organisational-group	University of Technology Sydney/Strength - STEM Education Futures
utslib.copyright.status	open_access	*
dc.date.updated	2024-04-16T21:52:59Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	18
utslib.citation.issue	2

Abstract:

This article is based on the application research of multimedia feature extraction technology in the development of vocal performance teaching in universities. Combining with the core image and sound modules in feature extraction technology, this article proposes an application model of multimedia feature extraction technology based on image HOG algorithm and Mel spectrum for vocal audio recognition in vocal performance teaching in universities. Experiments have shown that the features extracted by this method can not only effectively identify the styles of different types of singing works, but also recognize the personality characteristics of singers. At the same time, it can effectively reduce the misclassification rate caused by noise interference, thereby improving the recognition rate.

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http://hdl.handle.net/10453/177981