000 01677naaaa2200301uu 4500
001 https://directory.doabooks.org/handle/20.500.12854/70394
020 _a6259
024 7 _a10.5772/6259
_cdoi
041 0 _aEnglish
042 _adc
072 7 _aMNS
_2bicssc
100 1 _aIñesta, José M.
_4auth
700 1 _aPonce de León, Pedro J.
_4auth
700 1 _aRizo, David
_4auth
245 1 0 _aChapter Mining Digital Music Score Collections: Melody Extraction and Genre Recognition
260 _bInTechOpen
_c2008
506 0 _aOpen Access
_2star
_fUnrestricted online access
520 _aIn 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.
540 _aCreative Commons
_fhttps://creativecommons.org/licenses/by/3.0/
_2cc
_4https://creativecommons.org/licenses/by/3.0/
546 _aEnglish
650 7 _aOrthopaedics & fractures
_2bicssc
653 _aMusic
653 _apattern recognition
773 1 0 _0OAPEN Library ID: ONIX_20210602_10.5772/6259_2
_7nnaa
856 4 0 _awww.oapen.org
_uhttps://library.oapen.org/bitstream/20.500.12657/48887/1/5803.pdf
_70
_zDOAB: download the publication
856 4 0 _awww.oapen.org
_uhttps://library.oapen.org/bitstream/20.500.12657/48887/1/5803.pdf
_70
_zDOAB: download the publication
856 4 0 _awww.oapen.org
_uhttps://directory.doabooks.org/handle/20.500.12854/70394
_70
_zDOAB: description of the publication
999 _c38174
_d38174