{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T20:01:55Z","timestamp":1769284915118,"version":"3.49.0"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031214400","type":"print"},{"value":"9783031214417","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-21441-7_19","type":"book-chapter","created":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T00:03:50Z","timestamp":1670198630000},"page":"267-279","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Recurrent Neural Networks for\u00a0Music Genre Classification"],"prefix":"10.1007","author":[{"given":"Chaitanya","family":"Kakarla","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vidyashree","family":"Eshwarappa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lakshmi","family":"Babu Saheer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mahdi","family":"Maktabdar Oghaz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,12,5]]},"reference":[{"key":"19_CR1","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1109\/TMM.2010.2098858","volume":"13","author":"Z Fu","year":"2010","unstructured":"Fu, Z., Lu, G., Ting, K., Zhang, D.: A survey of audio-based music classification and annotation. IEEE Trans. Multimedia 13, 303\u2013319 (2010)","journal-title":"IEEE Trans. Multimedia"},{"key":"19_CR2","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1109\/TSA.2002.800560","volume":"10","author":"G Tzanetakis","year":"2002","unstructured":"Tzanetakis, G., Cook, P.: Musical genre classification of audio signals. IEEE Trans. Speech Audio Process. 10, 293\u2013302 (2002)","journal-title":"IEEE Trans. Speech Audio Process."},{"key":"19_CR3","doi-asserted-by":"crossref","unstructured":"Sridhar, R., Geetha, T.: Music information retrieval of Carnatic songs based on Carnatic music singer identification. In: 2008 International Conference on Computer and Electrical Engineering, pp. 407\u2013411 (2008)","DOI":"10.1109\/ICCEE.2008.118"},{"key":"19_CR4","unstructured":"Zlatintsi, A., Maragos, P.: Comparison of different representations based on nonlinear features for music genre classification. In: 2014 22nd European Signal Processing Conference (EUSIPCO), pp. 1547\u20131551 (2014)"},{"key":"19_CR5","doi-asserted-by":"crossref","unstructured":"Li, T., Ogihara, M., Li, Q.: A comparative study on content-based music genre classification. In: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 282\u2013289 (2003)","DOI":"10.1145\/860435.860487"},{"key":"19_CR6","doi-asserted-by":"crossref","unstructured":"Elbir, A., \u0130lhan, H., Serbes, G., Ayd\u0131n, N. Short time Fourier transform based music genre classification. In: 2018 Electric Electronics, Computer Science, Biomedical Engineerings\u2019 Meeting (EBBT), pp. 1\u20134 (2018)","DOI":"10.1109\/EBBT.2018.8391437"},{"key":"19_CR7","doi-asserted-by":"crossref","unstructured":"Boser, B., Guyon, I., Vapnik, V:. A training algorithm for optimal margin classifiers. In: Proceedings of the Fifth Annual Workshop on Computational Learning Theory, pp. 144\u2013152 (1992)","DOI":"10.1145\/130385.130401"},{"key":"19_CR8","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/TIT.1967.1053964","volume":"13","author":"T Cover","year":"1967","unstructured":"Cover, T., Hart, P.: Nearest neighbor pattern classification. IEEE Trans. Inf. Theory 13, 21\u201327 (1967)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"19_CR9","doi-asserted-by":"crossref","unstructured":"Rajanna, A., Aryafar, K., Shokoufandeh, A., Ptucha, R. Deep neural networks: a case study for music genre classification. In: 2015 IEEE 14th International Conference On Machine Learning And Applications (ICMLA), pp. 655\u2013660 (2015)","DOI":"10.1109\/ICMLA.2015.160"},{"key":"19_CR10","doi-asserted-by":"crossref","unstructured":"Kaur, C.,Kumar, R.: Study and analysis of feature based automatic music genre classification using Gaussian mixture model. In: 2017 International Conference on Inventive Computing and Informatics (ICICI), pp. 465\u2013468 (2017)","DOI":"10.1109\/ICICI.2017.8365395"},{"key":"19_CR11","doi-asserted-by":"publisher","first-page":"1403","DOI":"10.1587\/transinf.E97.D.1403","volume":"97","author":"T Nakashika","year":"2014","unstructured":"Nakashika, T., Takiguchi, T., Ariki, Y.: Voice conversion based on speaker-dependent restricted boltzmann machines. IEICE Trans. Inf. Syst. 97, 1403\u20131410 (2014)","journal-title":"IEICE Trans. Inf. Syst."},{"key":"19_CR12","unstructured":"Dieleman, S., Brakel, P., Schrauwen, B.: Audio-based music classification with a pretrained convolutional network. In: 12th International Society For Music Information Retrieval Conference (ISMIR-2011), pp. 669\u2013674 (2011)"},{"key":"19_CR13","unstructured":"Feng, L., Liu, S., Yao, J.: Music genre classification with paralleling recurrent convolutional neural network. ArXiv Preprint ArXiv:1712.08370. (2017)"},{"key":"19_CR14","unstructured":"Li, T., Chan, A., Chun, A:. Automatic musical pattern feature extraction using convolutional neural network. Genre. 10, 1x1 (2010)"},{"key":"19_CR15","unstructured":"Lee, H., Pham, P., Largman, Y., Ng, A.: Unsupervised feature learning for audio classification using convolutional deep belief networks. In: 22nd Proceedings of Conference Advances In Neural Information Processing Systems (2009)"},{"key":"19_CR16","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: long short-term memory. Neural Comput. 9, 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"19_CR17","volume-title":"Music genre recognition","author":"B Vogler","year":"2016","unstructured":"Vogler, B., Othman, A.: Music genre recognition. Benediktsvogler, Com (2016)"},{"key":"19_CR18","doi-asserted-by":"crossref","unstructured":"Li, S., Li, W., Cook, C., Zhu, C., Gao, Y.: Independently recurrent neural network (INDRNN): Building a longer and deeper RNN. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5457\u20135466 (2018)","DOI":"10.1109\/CVPR.2018.00572"},{"key":"19_CR19","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1016\/j.neucom.2018.02.076","volume":"292","author":"G Song","year":"2018","unstructured":"Song, G., Wang, Z., Han, F., Ding, S., Iqbal, M.: Music auto-tagging using deep recurrent neural networks. Neurocomputing 292, 104\u2013110 (2018)","journal-title":"Neurocomputing"},{"key":"19_CR20","unstructured":"And\u00e9n, J., Mallat, S.: Multiscale scattering for audio classification. In: SMIR, pp. 657\u2013662 (2011)"},{"key":"19_CR21","doi-asserted-by":"publisher","first-page":"4114","DOI":"10.1109\/TSP.2014.2326991","volume":"62","author":"J And\u00e9n","year":"2014","unstructured":"And\u00e9n, J., Mallat, S.: Deep scattering spectrum. IEEE Trans. Signal Process. 62, 4114\u20134128 (2014)","journal-title":"IEEE Trans. Signal Process."}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence XXXIX"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-21441-7_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T00:06:55Z","timestamp":1670198815000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-21441-7_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031214400","9783031214417"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-21441-7_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"5 December 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SGAI-AI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Innovative Techniques and Applications of Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cambridge","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 December 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 December 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"42","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sgai2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/bcs-sgai.org\/ai2022\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}