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dc.contributor.author | Giraldo, Sergio |
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dc.contributor.author | Ortega, Ariadna |
dc.contributor.author | Pérez Carrillo, Alfonso Antonio, 1977- |
dc.contributor.author | Ramírez, Rafael,1966- |
dc.contributor.author | Waddell, George |
dc.contributor.author | Williamon, Aaron |
dc.date | 2018 |
dc.identifier.citation | Giraldo S, Ortega A, Perez A, Ramirez R, Waddell G, Williamon A. Automatic assessment of violin performance using dynamic time warping classification. In: 26th Signal Processing and Communications Applications Conference; 2018 May 2-5; Izmir, Turkey. Nova Jersey: Institute of Electrical and Electronics Engineers; 2018. DOI: 10.1109/SIU.2018.8404556 |
dc.identifier.citation | http://dx.doi.org/10.1109/SIU.2018.8404556 |
dc.identifier.uri | http://hdl.handle.net/10230/36825 |
dc.format | application/pdf |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.relation | 26th Signal Processing and Communications Applications Conference; 2018 May 2-5; Izmir, Turkey. Nova Jersey: Institute of Electrical and Electronics Engineers; 2018. |
dc.relation | info:eu-repo/grantAgreement/ES/1PE/TIN2013-48152-C2-2-R |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/688269 |
dc.rights | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The final published article can be found at https://dx.doi.org/10.1109/SIU.2018.8404556 |
dc.rights | info:eu-repo/semantics/openAccess |
dc.subject | Music |
dc.subject | Feature extraction |
dc.subject | Machine learning |
dc.subject | Training |
dc.subject | Music information retrieval |
dc.subject | Time series analysis |
dc.subject | Hidden Markov models |
dc.title | Automatic assessment of violin performance using dynamic time warping classification |
dc.type | info:eu-repo/semantics/conferenceObject |
dc.type | info:eu-repo/semantics/acceptedVersion |
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