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Musical Instruments Recognition App

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dc.contributor.authorEzers, E.
dc.contributor.authorDoroshin, S. Y.
dc.date.accessioned2024-11-29T15:27:06Z
dc.date.available2024-11-29T15:27:06Z
dc.date.issued2021
dc.description.abstract© 2021 IEEE.The task of recognizing musical instruments is very relevant at the moment, as it has many different applications. In this paper we considered the practical application of an algorithm for recognizing musical instruments based on predictions of a convolutional neural network. It was a comparison of different methods of neural network predictions aggregation, which smooth errors of neural network and improve accuracy. The most optimal aggregation method was chosen to obtain information about the sounding instrument, and based on this method, an application was developed for mobile devices based on the Android operating system, which will allow its users to recognize sounding instruments even when they are away from home.
dc.format.extentС. 1614-1617
dc.identifier.citationEzers, E. Musical Instruments Recognition App / Ezers, E., Doroshin, S.Y. // Proceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021. - 2021. - P. 1614-1617. - 10.1109/ElConRus51938.2021.9396236
dc.identifier.doi10.1109/ElConRus51938.2021.9396236
dc.identifier.urihttps://www.doi.org/10.1109/ElConRus51938.2021.9396236
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85104718749&origin=resultslist
dc.identifier.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000669709801142
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/24022
dc.relation.ispartofProceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021
dc.titleMusical Instruments Recognition App
dc.typeConference Paper
dspace.entity.typePublication
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relation.isOrgUnitOfPublication.latestForDiscovery010157d0-1f75-46b2-ab5b-712e3424b4f5
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