NDLI: Similarity fusion scheme for cover song identification

Content Provider	IET Digital Library
Author	Chen, Ning Xiao, Hai dong
Abstract	To take advantage of the complementarity of different features in representing the common facets shared among cover versions, the similarity network fusion strategy in biological field is adopted to fuse the cochlear pitch class profile (PCP), beat-synchronous chroma and harmonic PCP feature-based similarity networks for cover song identification. For a music collection, first, the similarity network based on each feature and corresponding similarity measure is generated; then, the similarity network fusion method is used to fuse these similarity networks to create the fused similarity network; finally, the similarity scores in fused similarity network are used to train a classifier, which can then be used to identify whether the corresponding tracks are reference/cover or reference/non-cover pair according to the input similarity value. Experimental results demonstrated that the proposed scheme not only realised general classification with high accuracy, but also outperformed the state-of-the-art schemes in high-score evaluation and defining cover versions community.
Starting Page	1173
Ending Page	1175
Page Count	3
ISSN	00135194
Volume Number	52
e-ISSN	1350911X
Issue Number	Issue 13, Jun (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/52/13
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2015.4013
Journal	Electronics Letters
Publisher Date	2016-05-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Acoustic Signal Processing Beat-synchronous Chroma Classifier Training Cochlear Pitch Class Profile Cover Song Identification Cover Version Community Feature Complementarity Harmonic PCP Feature-based Similarity Network High-score Evaluation Humanities Computing Input Similarity Value Music Music Collection Reference/cover Pair Reference/noncover Pair Sensor Fusion Signal Classification Signal Processing And Detection Similarity Network Fusion Strategy Similarity Scores
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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