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dc.contributor.authorSaari, Pasi
dc.date.accessioned2015-01-15T13:22:35Z
dc.date.available2015-01-15T13:22:35Z
dc.date.issued2015
dc.identifier.isbn978-951-39-6074-2
dc.identifier.otheroai:jykdok.linneanet.fi:1464775
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/45096
dc.format.extent1 verkkoaineisto (58, [65] sivua)
dc.language.isoeng
dc.publisherUniversity of Jyväskylä
dc.relation.ispartofseriesJyväskylä studies in humanities
dc.relation.haspart<b>Article I:</b> Pasi Saari, Tuomas Eerola & Olivier Lartillot. Generalizability and Simplicity as Criteria in Feature Selection: Application to Mood Classification in Music. <i> IEEE Transactions on Audio, Speech, and Language Processing, 19 (6), 1802-1812, 2011. </i> DOI:<a href="http://dx.doi.org/10.1109/TASL.2010.2101596">10.1109/TASL.2010.2101596</a>
dc.relation.haspart<b>Article II:</b> Pasi Saari & Tuomas Eerola. Semantic Computing of Moods based on Tags in Social Media of Music. <i> IEEE Transactions on Knowledge and Data Engineering, 26 (10), 2548-2560, 2014</i>. DOI: <a href="http://dx.doi.org/10.1109/TKDE.2013.128">10.1109/TKDE.2013.128</a></i>
dc.relation.haspart<b>Article III:</b> Pasi Saari, Mathieu Barthet, Gyorgy Fazekas, Tuomas Eerola & Mark Sandler. Semantic Models of Mood Expressed by Music: Comparison Between Crowd-sourced and Curated Editorial Annotations. <i> In IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 2013. Further publication details on publisher web site </i>DOI: <a href="http://dx.doi.org/ 10.1109/ICMEW.2013.6618436 "> 10.1109/ICMEW.2013.6618436 </a></i>
dc.relation.haspart<b>Article IV:</b> Pasi Saari, Tuomas Eerola, Gyorgy Fazekas & Mark Sandler. Using Semantic Layer Projection for Enhancing Music Mood Prediction with Audio Features. <i>In Proceedings of the Sound and Music Computing Conference 2013 (SMC 2013), 722-728, 2013. </i><a href=" http://smcnetwork.org/system/files/USING%20SEMANTIC%20LAYER%20PROJECTION%20FOR%20ENHANCING%20MUSIC%20MOOD%20PREDICTION%20WITH%20AUDIO%20FEATURES.pdf ">Full text</a>
dc.relation.haspart<b>Article V:</b> Pasi Saari, Tuomas Eerola, Gyorgy Fazekas, Mathieu Barthet, Olivier Lartillot & Mark Sandler. The Role of Audio and Tags in Music Mood Prediction: A Study Using Semantic Layer Projection. <i>In Proceedings of the 14th International Society for Music Information Retrieval Conference (ISMIR), 201-206, 2013. </i><a href=" http://ismir2013.ismir.net/wp-content/uploads/2013/09/225_Paper.pdf ">Full text</a>
dc.relation.haspart<b>Article VI:</b> Pasi Saari, Tuomas Eerola, Gyorgy Fazekas, Mathieu Barthet, Olivier Lartillot & Mark Sandler. The Role of Audio and Tags in Music Mood Prediction: A Study Using Semantic Layer Projection. <i>In Proceedings of the 14th International Society for Music Information Retrieval Conference (ISMIR), 201-206, 2013. </i><a href=" http://ismir2013.ismir.net/wp-content/uploads/2013/09/225_Paper.pdf">Full text</a>
dc.subject.otherdigitaalinen musiikki
dc.subject.othermusic mood annotation
dc.subject.othermusic emotion recognition
dc.subject.othersocial tags
dc.subject.othereditorial tags
dc.subject.othercircumplex model
dc.subject.otherfeature selection
dc.subject.othergenre-adaptive
dc.subject.othersemantic computing
dc.subject.otheraudio feature extraction
dc.titleMusic mood annotation using semantic computing and machine learning
dc.typeDiss.
dc.identifier.urnURN:ISBN:978-951-39-6074-2
dc.type.dcmitypeTexten
dc.type.ontasotVäitöskirjafi
dc.type.ontasotDoctoral dissertationen
dc.contributor.tiedekuntaHumanistinen tiedekuntafi
dc.contributor.yliopistoUniversity of Jyväskyläen
dc.contributor.yliopistoJyväskylän yliopistofi
dc.contributor.oppiaineMusiikkitiedefi
dc.relation.issn1459-4331
dc.relation.numberinseries243
dc.rights.accesslevelopenAccessfi
dc.subject.ysomusiikki
dc.subject.ysotunteet
dc.subject.ysoannotointi
dc.subject.ysolaskentamenetelmät
dc.subject.ysokoneoppiminen
dc.subject.ysomallintaminen
dc.subject.ysotägit
dc.subject.ysoverkkoyhteisöt
dc.subject.ysososiaalinen media


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