5803.pdf
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 mu...
| Γλώσσα: | English |
|---|---|
| Έκδοση: |
InTechOpen
2021
|
| id |
oapen-20.500.12657-48887 |
|---|---|
| record_format |
dspace |
| spelling |
oapen-20.500.12657-488872021-11-23T13:51:45Z Chapter Mining Digital Music Score Collections: Melody Extraction and Genre Recognition Iñesta, José M. Ponce de León, Pedro J. Rizo, David Music pattern recognition bic Book Industry Communication::M Medicine::MN Surgery::MNS Orthopaedics & fractures 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. 2021-06-02T10:02:53Z 2021-06-02T10:02:53Z 2008 chapter ONIX_20210602_10.5772/6259_2 https://library.oapen.org/handle/20.500.12657/48887 eng application/pdf n/a 5803.pdf InTechOpen 10.5772/6259 10.5772/6259 09f6769d-48ed-467d-b150-4cf2680656a1 FP7-ICT-2007-1 216886 open access |
| institution |
OAPEN |
| collection |
DSpace |
| language |
English |
| description |
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. |
| title |
5803.pdf |
| spellingShingle |
5803.pdf |
| title_short |
5803.pdf |
| title_full |
5803.pdf |
| title_fullStr |
5803.pdf |
| title_full_unstemmed |
5803.pdf |
| title_sort |
5803.pdf |
| publisher |
InTechOpen |
| publishDate |
2021 |
| _version_ |
1771297486826110976 |