{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T15:36:28Z","timestamp":1777476988704,"version":"3.51.4"},"reference-count":59,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"name":"EU-FP7","award":["601166"],"award-info":[{"award-number":["601166"]}]},{"DOI":"10.13039\/501100002428","name":"Austrian Science Fund","doi-asserted-by":"publisher","award":["P25655"],"award-info":[{"award-number":["P25655"]}],"id":[{"id":"10.13039\/501100002428","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Spanish Government","award":["TIN2015-70816-R"],"award-info":[{"award-number":["TIN2015-70816-R"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Affective Comput."],"published-print":{"date-parts":[[2018,10,1]]},"DOI":"10.1109\/taffc.2017.2663421","type":"journal-article","created":{"date-parts":[[2017,2,7]],"date-time":"2017-02-07T20:46:45Z","timestamp":1486500405000},"page":"507-525","source":"Crossref","is-referenced-by-count":28,"title":["On the Interrelation Between Listener Characteristics and the Perception of Emotions in Classical Orchestra Music"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1706-3406","authenticated-orcid":false,"given":"Markus","family":"Schedl","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emilia","family":"Gomez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erika S.","family":"Trent","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marko","family":"Tkalcic","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hamid","family":"Eghbal-Zadeh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Agustin","family":"Martorell","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1348\/000712606X111177"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1177\/0305735607070382"},{"key":"ref33","article-title":"When lyrics outperform audio for music mood classification: A feature analysis","author":"hu","year":"2010"},{"key":"ref32","article-title":"The 2007 MIREX audio mood classification task: Lessons learned","author":"hu","year":"2008"},{"key":"ref31","article-title":"Music emotion recognition: A state of the art review","author":"kim","year":"2010"},{"key":"ref30","article-title":"Detecting emotion in music","author":"li","year":"2003"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1037\/0022-3514.84.6.1236"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-6494.1992.tb00970.x"},{"key":"ref35","article-title":"Lyric-based song emotion\n detection with affective lexicon and fuzzy clustering method","author":"hu","year":"2009"},{"key":"ref34","first-page":"9","author":"laurier","year":"2009","journal-title":"Automatic Detection of Emotion in Music Interaction with Emotionally Sensitive Machines"},{"key":"ref28","article-title":"Evaluation\n of musical features for emotion classification","author":"song","year":"2012"},{"key":"ref27","article-title":"Projection of acoustic features to continuous valence-arousal mood labels via regression","author":"schmidt","year":"2009"},{"key":"ref29","article-title":"Automatic mood detection\n from acoustic music data","author":"liu","year":"2003"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.2307\/3344092"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1037\/h0054832"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1201\/b10731"},{"key":"ref22","article-title":"Prediction of multidimensional emotional ratings in music from audio using multivariate regression models","author":"eerola","year":"2009"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2168752.2168754"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1080\/09298215.2010.513733"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2010.2064164"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2008.96"},{"key":"ref25","article-title":"Lyric text mining in\n music mood classification","author":"hu","year":"2009"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2012.5"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/s11257-016-9173-y"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1057\/jt.2009.5"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.2307\/2529310"},{"key":"ref57","author":"krippendorff","year":"2013","journal-title":"Content Analysis An Introduction to Its Methodology"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1511\/2001.4.344"},{"key":"ref55","first-page":"45","author":"ekman","year":"1999","journal-title":"Basic Emotions"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/S0092-6566(03)00046-1"},{"key":"ref53","first-page":"855","article-title":"Essentia: An open source library for audio analysis","volume":"6","author":"bogdanov","year":"2014","journal-title":"ACM SIGMM Records"},{"key":"ref52","article-title":"Emotions\n evoked by the sound of music: Characterization, classification, and measurement","volume":"8","author":"zenter","year":"2008","journal-title":"Emotion"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1037\/1528-3542.8.4.494"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1037\/h0077714"},{"key":"ref40","article-title":"Personality & emotional states: Understanding users music listening needs","author":"ferwerda","year":"2015","journal-title":"UMAP Extended Proc"},{"key":"ref12","article-title":"Music mood representation from social\n tags","author":"laurier","year":"2009"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhr353"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1037\/0022-3514.60.1.37"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1177\/0305735610362821"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1037\/a0022406"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2014.2343222"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.2307\/40285811"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.cub.2009.02.058"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1348\/000712610X506831"},{"key":"ref3","author":"sloboda","year":"2001","journal-title":"Music and Emotion Theory and Research"},{"key":"ref6","author":"ekman","year":"1972","journal-title":"Emotion in the human face Guidelines for research and an integration of findings"},{"key":"ref5","article-title":"Automatic classification of music mood by content-based analysis","author":"laurier","year":"2011"},{"key":"ref8","first-page":"71","author":"juslin","year":"2001","journal-title":"Psychological Perspectives on Music and Emotion"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1080\/0929821042000317813"},{"key":"ref49","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1145\/2872518.2889368","article-title":"Fusing social media cues:\n Personality prediction from Twitter and Instagram","author":"skowron","year":"2016","journal-title":"Proc 25th Int Conf Companion World Wide Web"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.2466\/pms.2003.96.3c.1117"},{"key":"ref46","doi-asserted-by":"crossref","first-page":"5802","DOI":"10.1073\/pnas.1218772110","article-title":"Private\n traits and attributes are predictable from digital records of human behavior","volume":"110","author":"kosinski","year":"2013","journal-title":"Proc Natl Acad Sci United States America"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2014.2330816"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s11257-016-9171-0"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/PASSAT\/SocialCom.2011.26"},{"key":"ref42","first-page":"364","article-title":"Personality correlates for\n digital concert program notes","author":"tkal?i?","year":"2015","journal-title":"Proc Int Conf User Modeling Adaptation and Personalization"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/2702613.2732754"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.jrp.2005.08.007"},{"key":"ref43","first-page":"102","article-title":"The Big Five trait taxonomy: History, measurement, and theoretical perspectives","volume":"2","author":"john","year":"1999","journal-title":"Handbook of Personality Theory and Research"}],"container-title":["IEEE Transactions on Affective Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5165369\/8547219\/07840033.pdf?arnumber=7840033","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T05:18:30Z","timestamp":1643260710000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7840033\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10,1]]},"references-count":59,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/taffc.2017.2663421","relation":{},"ISSN":["1949-3045","2371-9850"],"issn-type":[{"value":"1949-3045","type":"electronic"},{"value":"2371-9850","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,10,1]]}}}