{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T00:46:42Z","timestamp":1777942002751,"version":"3.51.4"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030298937","type":"print"},{"value":"9783030298944","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\/978-3-030-29894-4_5","type":"book-chapter","created":{"date-parts":[[2019,8,22]],"date-time":"2019-08-22T21:41:59Z","timestamp":1566510119000},"page":"56-65","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Audio-Based Music Classification with DenseNet and Data Augmentation"],"prefix":"10.1007","author":[{"given":"Wenhao","family":"Bian","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bojin","family":"Zhuang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiankui","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaojun","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,8,23]]},"reference":[{"key":"5_CR1","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, Nevada, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"5_CR2","doi-asserted-by":"crossref","unstructured":"Huang, G., Liu, Z., van der Maaten, L.: Densely connected convolutional networks. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, pp. 4700\u20134708 (2017)","DOI":"10.1109\/CVPR.2017.243"},{"issue":"2","key":"5_CR3","doi-asserted-by":"publisher","first-page":"13","DOI":"10.7603\/s40601-013-0013-1","volume":"3","author":"YMD Chathuranga","year":"2013","unstructured":"Chathuranga, Y.M.D., Jayaratne, K.L.: Automatic music genre classification of audio signals with machine learning approaches. GSTF Int. J. Comput. (JoC) 3(2), 13 (2013)","journal-title":"GSTF Int. J. Comput. (JoC)"},{"key":"5_CR4","doi-asserted-by":"crossref","unstructured":"Auguin, N., Huang, S., Fung, P.: Identification of live or studio versions of a song via supervised learning. In: Signal and Information Processing Association Annual Summit and Conference (APSIPA), pp. 1\u20134 (2013)","DOI":"10.1109\/APSIPA.2013.6694314"},{"key":"5_CR5","unstructured":"Costa, Y.M.G., Oliveira, L.S., Koericb, A.L., Gouyon, F.: Music genre recognition using spectrograms. In: 18th International Conference on Systems, Signals and Image Processing, pp. 1\u20134 (2011)"},{"key":"5_CR6","unstructured":"Dielman, S., Schrauwen, B.: End to end deep learning for music audio. In: IEEE International Conference on Music Information Retrieval (ISMIR) (2011)"},{"key":"5_CR7","doi-asserted-by":"crossref","unstructured":"Li, T., Ogihara, M., Li, Q.: A comparative study on content-based music genre classification. In: The 26th Annual International ACM SIGIR Conference on Research and Development in information Retrieval, pp. 282\u2013289. ACM (2003)","DOI":"10.1145\/860435.860487"},{"key":"5_CR8","doi-asserted-by":"crossref","unstructured":"Nakashika, T., Garcia, C., Takiguchi, T.: Local-feature-map integration using convolutional neural networks for music genre classification. In: 13th Annual Conference of the International Speech Communication Association (2012)","DOI":"10.21437\/Interspeech.2012-478"},{"key":"5_CR9","doi-asserted-by":"crossref","unstructured":"Dieleman, S., Schrauwen, B.: End-to-end learning for music audio. In: IEEE Acoustics, Speech and Signal Processing (ICASSP), pp. 6964\u2013 6968 (2014)","DOI":"10.1109\/ICASSP.2014.6854950"},{"key":"5_CR10","unstructured":"Defferrard, M., Benzi, K., Vandergheynst, P., Bresson, X.: FMA: a dataset for music analysis. In: International Society for Music Information Retrieval Conference (ISMIR), pp. 316\u2013323 (2017)"},{"key":"5_CR11","doi-asserted-by":"crossref","unstructured":"Sturm, B.L.: An analysis of the GTZAN music genre dataset. In: Proceedings of the Second International ACM Workshop on Music Information Retrieval with User-Centered and Multimodal Strategies, pp. 7\u201312. ACM (2012)","DOI":"10.1145\/2390848.2390851"},{"key":"5_CR12","doi-asserted-by":"crossref","unstructured":"Aguiar, R.L., Costa, M.G.Y., Silla Jr, N.C.: Exploring data augmentation to improve music genre classification with convNets. In: International Joint Conference on Neural Networks (IJCNN) (2018)","DOI":"10.1109\/IJCNN.2018.8489166"},{"key":"5_CR13","unstructured":"Mubarak, O.M., Ambikai Rajah, E., Epps, J.: Novel features for effective speech and music discrimination. IEEE Engineering on Intelligent Systems, pp. 342\u2013346 (2006)"},{"key":"5_CR14","unstructured":"Wyse, L.: Audio spectrogram representations for processing with Convolutional neural networks. In: Proceeding of the First International Workshop on Deep Learning for Music (2017)"},{"issue":"60","key":"5_CR15","doi-asserted-by":"publisher","first-page":"321","DOI":"10.2478\/eletel-2014-0042","volume":"4","author":"G Gwardys","year":"2014","unstructured":"Gwardys, G., Grzywczak, D.: Deep image features in music information retrieval. Int. J. Electron. Telecommun. 4(60), 321\u2013326 (2014)","journal-title":"Int. J. Electron. Telecommun."},{"key":"5_CR16","unstructured":"Lee, H., Pham, P., Largman, Y., Ng, A.Y.: Unsupervised feature learning for audio classification using convolutional deep belief networks. In: Neural Information Processing Systems, pp. 1096\u20131104 (2009)"},{"key":"5_CR17","unstructured":"Choi, K., Fazekas, G., Sandler, M.: Automatic tagging using deep convolutional neural networks. In: Society for Music Information Retrieval Conference, New York, NY, pp. 805\u2013811 (2016)"},{"key":"5_CR18","doi-asserted-by":"crossref","unstructured":"Kim, T., Lee, J., Nam, J.: Sample-level CNN architectures for music auto- tagging using raw waveforms. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, Aalborg, Denmark, pp. 366\u2013370 (2018)","DOI":"10.1109\/ICASSP.2018.8462046"},{"key":"5_CR19","doi-asserted-by":"crossref","unstructured":"Schluter, J., Bock, S.: Musical onset detection with convolutional neural networks. In: 6th International Workshop on Machine Learning and Music (MML), Prague, Czech Republic (2013)","DOI":"10.1109\/ICASSP.2014.6854953"},{"key":"5_CR20","doi-asserted-by":"crossref","unstructured":"Tokozume, Y., Harada, T.: Learning environmental sounds with end-to-end convolutional neural network. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2017)","DOI":"10.1109\/ICASSP.2017.7952651"},{"issue":"1","key":"5_CR21","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1109\/MSP.2018.2874383","volume":"36","author":"J Nam","year":"2019","unstructured":"Nam, J., Choi, K., Lee, J.: Deep learning for audio-Based music classification and tagging. IEEE Signal Process. Mag. 36(1), 41\u201351 (2019)","journal-title":"IEEE Signal Process. Mag."},{"key":"5_CR22","unstructured":"Ulyanov, D., Lebedev, V.: Audio texture synthesis and style transfer (2016)"},{"key":"5_CR23","unstructured":"Park, J., Lee, J., Park, J., Ha, J., Nam, J.: Representation learning of music using artist labels. In: 19th International Society for Music Information Retrieval Conference (2018)"},{"key":"5_CR24","unstructured":"Lin, M., Chen, Q., Yan, S.: Network in network. In: Proceedings of ICLR (2014)"},{"key":"5_CR26","unstructured":"Choi, K., et al.: Transfer learning for music classification and regression tasks. In: 18th International Society of Music Information Retrieval (ISMIR) Conference, Suzhou, China (2017)"},{"key":"5_CR27","unstructured":"Arabi, A.F., Lu, G.: Enhanced polyphonic music genre classification using high level features. In: 2009 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), pp. 101\u2013106. IEEE (2009)"},{"key":"5_CR28","doi-asserted-by":"crossref","unstructured":"Panagakis, Y., Kotropoulos, C.: Music genre classification via topology preserving non-negative tensor factorization and sparse representations. In: 2010 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), pp. 249\u2013252. IEEE (2010)","DOI":"10.1109\/ICASSP.2010.5495984"},{"key":"5_CR29","unstructured":"Donmoon, L., Lee, J., Park, J., Lee, K.: Enhancing music features by knowledge transfer from user-item log data. In: Accepted paper at the International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2019)"},{"key":"5_CR30","doi-asserted-by":"crossref","unstructured":"Baniya, B.K., Ghimire, D., Lee, J.: A novel approach of automatic music genre classification based on timbrai texture and rhythmic content features. In: International Conference on IEEE Advanced Communication Technology (ICACT), pp. 96-102 (2014)","DOI":"10.1109\/ICACT.2014.6778929"}],"container-title":["Lecture Notes in Computer Science","PRICAI 2019: Trends in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-29894-4_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,26]],"date-time":"2022-09-26T04:40:40Z","timestamp":1664167240000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-29894-4_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030298937","9783030298944"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-29894-4_5","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":"23 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific Rim International Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cuvu, Yanuka Island","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Fiji","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":"26 August 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 August 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pricai2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.pricai.org\/2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}