Classification of optical music symbols based on combined neural network

dc.contributor.author	Wen, Cuihong
dc.contributor.author	Rebelo, Ana
dc.contributor.author	Zhang, Jing
dc.contributor.author	Cardoso, Jaime S.
dc.date.accessioned	2018-11-30T17:52:03Z
dc.date.available	2018-11-30T17:52:03Z
dc.date.issued	2014
dc.description.abstract	In this paper, a new method for music symbol classification named Combined Neural Network (CNN) is proposed.Tests are conducted on more than 9000 music symbols from both real and scanned music sheets, which show that the proposed technique offers superior classification capability. At the same time, the performance of the new network is compared with the single Neural Network (NN) classifier using the same music scores.	pt_PT
dc.identifier.citation	Wen, C., Rebelo, A., Zhang, J., & Cardoso, J. S. (2014). Classification of optical music symbols based on combined neural network. In Proceedings of the IEEE International Conference on Mechatronics and Control (ICMC), 2014. Disponível no Repositório UPT, http://hdl.handle.net/11328/2476	pt_PT
dc.identifier.uri	http://hdl.handle.net/11328/2476
dc.language.iso	eng	pt_PT
dc.peerreviewed	yes	pt_PT
dc.rights	open access	pt_PT
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	pt_PT
dc.subject	Music	pt_PT
dc.subject	Combined Neural Network	pt_PT
dc.title	Classification of optical music symbols based on combined neural network	pt_PT
dc.type	conferenceObject	pt_PT
degois.publication.title	IEEE International Conference on Mechatronics and Control (ICMC)	pt_PT
dspace.entity.type	Publication	en

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