LEADER 01916nam  2200457z- 450 
001 9911114772603321
005 20210211
035   $a(CKB)4920000000094266
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/42472
035   $a(oapen)doab42472
035   $a(EXLCZ)994920000000094266
100   $a20202102d2018      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aBridging Music Informatics with Music Cognition
210   $cFrontiers Media SA$d2018
215   $a1 online resource (220 p.)
225 1 $aFrontiers Research Topics
311 08$a2-88945-571-8 
330   $aMusic informatics is an interdisciplinary research area that encompasses data driven approaches to the analysis, generation, and retrieval of music. In the era of big data, two goals weigh heavily on many research agendas in this area: (a) the identification of better features and (b) the acquisition of better training data. To this end, researchers have started to incorporate findings and methods from music cognition, a related but historically distinct research area that is concerned with elucidating the underlying mental processes involved in music-related behavior.
606   $aPsychology$2bicssc
610   $aanimal models
610   $abiomarkers
610   $acellular
610   $agenomics
610   $aGraft versus leukaemia effect
610   $agraft-versus-host disease
610   $ahematopoietic stem cell transplantation
610   $apathophysiology
610   $aT cells
615  7$aPsychology
700   $aFrank A. Russo$4auth$02004497
702   $aNaresh N. Vempala$4auth
702   $aGeraint A. Wiggins$4auth
906   $aBOOK
912   $a9911114772603321
996   $aBridging Music Informatics with Music Cognition$94790404
997   $aUNINA