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Hit song classification with audio descriptors and lyrics
Descriptive
TitleInfo
Title
Hit song classification with audio descriptors and lyrics
Name
(type = personal)
NamePart
(type = family)
Sharma
NamePart
(type = given)
Ishank
NamePart
(type = date)
1994-
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Ishank Sharma
Role
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author
Name
(type = personal)
NamePart
(type = family)
Striki
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(type = given)
Maria
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Maria Striki
Affiliation
Advisory Committee
Role
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chair
Name
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NamePart
(type = family)
Hassan
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Umer
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Umer Hassan
Affiliation
Advisory Committee
Role
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(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Zhang
NamePart
(type = given)
Yuqian
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Yuqian Zhang
Affiliation
Advisory Committee
Role
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(authority = RULIB)
internal member
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NamePart
Rutgers University
Role
RoleTerm
(authority = RULIB)
degree grantor
Name
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NamePart
School of Graduate Studies
Role
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school
TypeOfResource
Text
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theses
Genre
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ETD graduate
OriginInfo
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2020
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2020-10
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2020
Language
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(authority = ISO 639-3:2007);
(type = text)
English
Abstract
(type = abstract)
Hit Song Science aims to predict a songs popularity based on song structure and externalfeatures. To help provide an efficient and accurate tool for Annual Top-100 Billboard SongClassification, we apply fine-tuned BERT transformer and a joint learning approach. Wealso explore different audio descriptors and lyrics based embedding for modeling hit songclassification task on an innovative western song dataset created by us. We address classimbalance and data scarcity issues associated with traditional datasets by employing sharedlayer architecture and penalizing loss. We highlight a comparison study of three distinctlydesigned neural network architectures. All models yield high overall accuracy with relatively low training cost.
Subject
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Topic
Deep learning
Subject
(authority = RUETD)
Topic
Electrical and Computer Engineering
RelatedItem
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
(type = RULIB)
ETD
Identifier
ETD_11275
PhysicalDescription
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application/pdf
InternetMediaType
text/xml
Extent
1 online resource (vii, 27 pages) : illustrations
Note
(type = degree)
M.S.
Note
(type = bibliography)
Includes bibliographical references
RelatedItem
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TitleInfo
Title
School of Graduate Studies Electronic Theses and Dissertations
Identifier
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rucore10001600001
Location
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(authority = marcorg);
(displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier
(type = doi)
doi:10.7282/t3-14kc-nf60
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Rights
RightsDeclaration
(ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder
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Name
FamilyName
Sharma
GivenName
Ishank
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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2020-10-01 13:21:25
AssociatedEntity
Name
Ishank Sharma
Role
Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical
RULTechMD
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ContentModel
ETD
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windows xp
CreatingApplication
Version
1.5
DateCreated
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2020-10-06T19:13:39
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2020-10-06T15:18:54
ApplicationName
pdfTeX-1.40.20
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