Chapter Mining Digital Music Score Collections: Melody Extraction and Genre Recognition
| dc.contributor.author | Iñesta, José M. | |
| dc.contributor.author | Ponce de León, Pedro J. | |
| dc.contributor.author | Rizo, David | |
| dc.date.accessioned | 2021-02-10T12:58:18Z | |
| dc.date.issued | 2008 | |
| dc.date.submitted | 2021-06-02T10:02:53Z | |
| dc.identifier | ONIX_20210602_10.5772/6259_2 | |
| dc.identifier | https://library.oapen.org/handle/20.500.12657/48887 | |
| dc.identifier.uri | https://directory.doabooks.org/handle/20.500.12854/70394 | |
| dc.description.abstract | In the field of computer music, pattern recognition algorithms are very relevant for music information retrieval (MIR) applications. Two challenging tasks in this area are the automatic recognition of musical genre and melody extraction, having a number of applications like indexing and selecting musical databases. One of the main references for music is its melody. | |
| dc.language | English | |
| dc.rights | open access | |
| dc.subject.classification | bic Book Industry Communication::M Medicine::MN Surgery::MNS Orthopaedics & fractures | |
| dc.subject.other | Music | |
| dc.subject.other | pattern recognition | |
| dc.subject.other | thema EDItEUR::M Medicine and Nursing::MN Surgery::MNS Surgical orthopaedics and fractures | |
| dc.title | Chapter Mining Digital Music Score Collections: Melody Extraction and Genre Recognition | |
| dc.type | chapter | |
| oapen.identifier.doi | 10.5772/6259 | |
| oapen.relation.isPublishedBy | 035ecc65-6737-43cf-a13a-6bdf67ce01f4 | |
| dc.relationisFundedBy | FP7-ICT-2007-1 |
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