{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T18:17:13Z","timestamp":1772907433615,"version":"3.50.1"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030148010","type":"print"},{"value":"9783030148027","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-14802-7_10","type":"book-chapter","created":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T23:07:34Z","timestamp":1554160054000},"page":"117-130","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Content-Based Music Classification by Advanced Features and Progressive Learning"],"prefix":"10.1007","author":[{"given":"Ja-Hwung","family":"Su","sequence":"first","affiliation":[]},{"given":"Chu-Yu","family":"Chin","sequence":"additional","affiliation":[]},{"given":"Tzung-Pei","family":"Hong","sequence":"additional","affiliation":[]},{"given":"Jung-Jui","family":"Su","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,3,7]]},"reference":[{"issue":"6","key":"10_CR1","doi-asserted-by":"publisher","first-page":"2110","DOI":"10.1016\/j.patcog.2015.01.009","volume":"48","author":"S Abe","year":"2015","unstructured":"Abe, S.: Fuzzy support vector machines for multilabel classification. Pattern Recogn. 48(6), 2110\u20132117 (2015)","journal-title":"Pattern Recogn."},{"key":"10_CR2","doi-asserted-by":"crossref","unstructured":"Ahsan, H., Kumar, V., Jawahar, C.V.: Multi-label annotation of music. In: Proceedings of the Eighth International Conference on Advances in Pattern Recognition (ICAPR) (2015)","DOI":"10.1109\/ICAPR.2015.7050685"},{"issue":"2\u20133","key":"10_CR3","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1007\/s10994-006-9019-7","volume":"65","author":"J Bergstra","year":"2006","unstructured":"Bergstra, J., Casagrande, N., Erhan, D., Eck, D., K\u00e9gl, B.: Aggregate features and AdaBoost for music classification. Mach. Learn. 65(2\u20133), 473\u2013484 (2006)","journal-title":"Mach. Learn."},{"key":"10_CR4","doi-asserted-by":"crossref","unstructured":"Choi, K., Lee, J.H., Downie, J.S.: What is this song about anyway? Automatic classification of subject using user interpretations and lyrics. In: Proceedings of the 14th ACM\/IEEE-CS Joint Conference on Digital Libraries (2014)","DOI":"10.1109\/JCDL.2014.6970221"},{"key":"10_CR5","doi-asserted-by":"crossref","unstructured":"Chen, Y.A., Yang, Y.H., Wang, J.C., Chen, H.: The AMG1608 dataset for music emotion recognition. In: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2015)","DOI":"10.1109\/ICASSP.2015.7178058"},{"key":"10_CR6","unstructured":"Fang, J., Grunberg, D., Litman, D., Wang, Y.: Discourse analysis of lyric and lyric-based classification of music. In: Proceedings of the 18th International Society for Music Information Retrieval Conference (2017)"},{"issue":"2","key":"10_CR7","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1109\/TMM.2010.2098858","volume":"13","author":"Z Fu","year":"2011","unstructured":"Fu, Z., Lu, G., Ting, K.M., Zhang, D.: A survey of audio-based music classification and annotation. IEEE Trans. Multimedia 13(2), 303\u2013319 (2011)","journal-title":"IEEE Trans. Multimedia"},{"issue":"2","key":"10_CR8","doi-asserted-by":"publisher","first-page":"e0191417","DOI":"10.1371\/journal.pone.0191417","volume":"13","author":"I Goienetxea","year":"2018","unstructured":"Goienetxea, I., Mart\u00f5\u00c2nez-Otzeta, J.M., Sierra, B., Mendialdua, I.: Towards the use of similarity distances to music genre classification: a comparative study. PLoS ONE 13(2), e0191417 (2018)","journal-title":"PLoS ONE"},{"key":"10_CR9","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1016\/j.datak.2014.07.005","volume":"92","author":"YF Huang","year":"2014","unstructured":"Huang, Y.F., Lin, S.M., Wu, H.Y., Li, Y.S.: Music genre classification based on local feature selection using a self-adaptive harmony search algorithm. Data Knowl. Eng. 92, 60\u201376 (2014)","journal-title":"Data Knowl. Eng."},{"issue":"10","key":"10_CR10","doi-asserted-by":"publisher","first-page":"1771","DOI":"10.1109\/LSP.2015.2433061","volume":"22","author":"PK Jao","year":"2015","unstructured":"Jao, P.K., Yang, Y.H.: Music annotation and retrieval using unlabeled exemplars: correlation and sparse codes. IEEE Signal Process. Lett. 22(10), 1771\u20131775 (2015)","journal-title":"IEEE Signal Process. Lett."},{"key":"10_CR11","doi-asserted-by":"crossref","unstructured":"Lee, C.H., Lin, H.S., Chen, L.H.: Music classification using the bag of words model of modulation spectral features. In: Proceedings of the 15th International Symposium on Communications and Information Technologies (ISCIT) (2015)","DOI":"10.1109\/ISCIT.2015.7458322"},{"key":"10_CR12","unstructured":"Mandel, M.I., Ellis, D.P.W.: Song-level features and support vector machines for music classification. In: Proceedings of the 18th International Society for Music Information Retrieval Conference (2005)"},{"key":"10_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1007\/978-3-319-68474-1_19","volume-title":"Similarity Search and Applications","author":"H P\u00e1lmason","year":"2017","unstructured":"P\u00e1lmason, H., J\u00f3nsson, B.\u00de., Amsaleg, L., Schedl, M., Knees, P.: On competitiveness of nearest-neighbor-based music classification: a methodological critique. In: Beecks, C., Borutta, F., Kr\u00f6ger, P., Seidl, T. (eds.) SISAP 2017. LNCS, vol. 10609, pp. 275\u2013283. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-68474-1_19"},{"key":"10_CR14","doi-asserted-by":"crossref","unstructured":"Reed, J., Lee, C.H.: On the importance of modeling temporal information in music tag annotation. In: Proceedings of International Symposium on Acoustics, Speech and Signal Processing (2009)","DOI":"10.1109\/ICASSP.2009.4959973"},{"key":"10_CR15","first-page":"218","volume":"3","author":"AM Santos","year":"2011","unstructured":"Santos, A.M., Canuto, A.M.P., Neto, A.F.: A comparative analysis of classification methods to multi-label tasks in different application domains. Int. J. Comput. Inf. Syst. Ind. Manag. Appl. 3, 218\u2013227 (2011)","journal-title":"Int. J. Comput. Inf. Syst. Ind. Manag. Appl."},{"issue":"2","key":"10_CR16","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1109\/TAFFC.2015.2462841","volume":"7","author":"P Saari","year":"2016","unstructured":"Saari, P., Fazekas, G., Eerola, T., Barthet, M., Lartillot, O., Sandler, M.: Genre-adaptive semantic computing and audio-based modelling for music mood annotation. IEEE Trans. Affect. Comput. 7(2), 122\u2013135 (2016)","journal-title":"IEEE Trans. Affect. Comput."},{"key":"10_CR17","doi-asserted-by":"crossref","unstructured":"Su, J.H., Hong, T.P., Chen, Y.T.: Fast music retrieval with advanced acoustic features. In: Proceedings of IEEE International Conference on Consumer Electronics (2017)","DOI":"10.1109\/ICCE-China.2017.7991143"},{"issue":"5","key":"10_CR18","doi-asserted-by":"publisher","first-page":"1229","DOI":"10.1109\/TMM.2014.2310701","volume":"16","author":"J Serr\u00e0","year":"2014","unstructured":"Serr\u00e0, J., M\u00fcller, M., Grosche, P., Arcos, J.L.: Unsupervised music structure annotation by time series structure features and segment similarity. IEEE Trans. Multimedia 16(5), 1229\u20131240 (2014)","journal-title":"IEEE Trans. Multimedia"},{"key":"10_CR19","unstructured":"Su, J.H., Tsai, Y.C., Tseng, V.S.: Empirical analysis of multi-labeling algorithms for music emotion annotation. In: Proceedings of ICME 2013 Workshop on Affective Analysis in Multimedia (AAM) (2013)"},{"issue":"2","key":"10_CR20","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1145\/2950066","volume":"8","author":"M Tian","year":"2017","unstructured":"Tian, M., Sandler, M.B.: Towards music structural segmentation across genres: features, structural hypotheses, and annotation principles. ACM Trans. Intell. Syst. Technol. 8(2), 23 (2017)","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"10_CR21","unstructured":"Tsaptsinos, A.: Lyrics-based music genre classification using a hierarchical attention network. In: Proceedings of the 18th International Society for Music Information Retrieval Conference (2017)"},{"key":"10_CR22","unstructured":"http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvm"}],"container-title":["Lecture Notes in Computer Science","Intelligent Information and Database Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-14802-7_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T12:52:21Z","timestamp":1710334341000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-14802-7_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030148010","9783030148027"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-14802-7_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"7 March 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACIIDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Conference on Intelligent Information and Database Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Yogyakarta","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Indonesia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 April 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 April 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aciids2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aciids.pwr.edu.pl\/2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}