{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T14:25:48Z","timestamp":1774103148942,"version":"3.50.1"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,1,7]],"date-time":"2021-01-07T00:00:00Z","timestamp":1609977600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,7]],"date-time":"2021-01-07T00:00:00Z","timestamp":1609977600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Multimed Info Retr"],"published-print":{"date-parts":[[2021,3]]},"DOI":"10.1007\/s13735-020-00202-1","type":"journal-article","created":{"date-parts":[[2021,1,7]],"date-time":"2021-01-07T20:27:05Z","timestamp":1610051225000},"page":"33-42","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["An automatic approach of audio feature engineering for the extraction, analysis and selection of descriptors"],"prefix":"10.1007","volume":"10","author":[{"given":"Marvin","family":"Jim\u00e9nez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4194-6882","authenticated-orcid":false,"given":"Jose","family":"Aguilar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Julin","family":"Monsalve-Pulido","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Edwin","family":"Montoya","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,1,7]]},"reference":[{"key":"202_CR1","unstructured":"Moffat D, Ronan D, Reiss J (2015) An evaluation of audio feature extraction toolboxes,\u201d DAFx 2015\u2014Proceedings of the 18th International Conference on Digital Audio Effects"},{"key":"202_CR2","unstructured":"Seyerlehner K, Schedl M (2009) Block-level audio feature for music genre classification. In: online Proc. of the 5th Annual Music Information Retrieval Evaluation eXchange (MIREX-09)"},{"key":"202_CR3","unstructured":"Pearce A, Brookes T, Mason R (2017) Timbral attributes for sound effect library searching. In: Audio Engineering Society Conference: 2017 AES International Conference on Semantic Audio. Audio Engineering Society"},{"issue":"1","key":"202_CR4","doi-asserted-by":"publisher","first-page":"8","DOI":"10.3390\/robotics5010008","volume":"5","author":"Q Liu","year":"2016","unstructured":"Liu Q, Li R, Hu H, Gu D (2016) Extracting semantic information from visual data: a survey. Robotics 5(1):8. https:\/\/doi.org\/10.3390\/robotics5010008","journal-title":"Robotics"},{"issue":"2","key":"202_CR5","doi-asserted-by":"publisher","first-page":"30","DOI":"10.3390\/computation8020030","volume":"8","author":"J Aguilar","year":"2020","unstructured":"Aguilar J, Salazar C, Velasco H, Monsalve-Pulido J, Montoya E (2020) Comparison and evaluation of different methods for the feature extraction from educational contents. Computation 8(2):30. https:\/\/doi.org\/10.3390\/computation8020030","journal-title":"Computation"},{"issue":"2","key":"202_CR6","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1007\/s11257-019-09221-y","volume":"29","author":"Y Deldjoo","year":"2019","unstructured":"Deldjoo Y, Dacrema MF, Constantin MG, Eghbal-Zadeh H, Cereda S, Schedl M, Ionescu B, Cremonesi P (2019) Movie genome: alleviating new item cold start in movie recommendation. User Model User-Adapt Inter 29(2):291\u2013343","journal-title":"User Model User-Adapt Inter"},{"key":"202_CR7","unstructured":"Seyerlehner K, Widmer G, Schedl M, Knees P (2010) Automatic music tag classification based on block-level. In: Proceedings of Sound and Music Computing 2010"},{"issue":"12","key":"202_CR8","doi-asserted-by":"publisher","first-page":"3026","DOI":"10.1109\/TKDE.2014.2316504","volume":"26","author":"BD Fulcher","year":"2014","unstructured":"Fulcher BD, Jones NS (2014) Highly comparative feature-based time-series classification. IEEE Trans Knowl Data Eng 26(12):3026\u20133037","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"202_CR9","doi-asserted-by":"crossref","unstructured":"Hyndman RJ, Wang E, Laptev N (2015) Large-scale unusual time series detection. In: 2015 IEEE international conference on data mining workshop (ICDMW). IEEE, pp 1616\u20131619","DOI":"10.1109\/ICDMW.2015.104"},{"issue":"3","key":"202_CR10","doi-asserted-by":"publisher","first-page":"335364","DOI":"10.1007\/s10618-005-0039-x","volume":"13","author":"X Wang","year":"2006","unstructured":"Wang X, Smith K, Hyndman R (2006) Characteristic-based clustering for time series data. Data Min Knowl Discov 13(3):335364. https:\/\/doi.org\/10.1007\/s10618-005-0039-x","journal-title":"Data Min Knowl Discov"},{"key":"202_CR11","unstructured":"W\u00fclfing J, Riedmiller M (2012) Unsupervised learning of local features for music classification. In: Proceedings of the 13th International Society for Music Information Retrieval Conference (ISMIR). pp 139\u2013144. https:\/\/doi.org\/10.5281\/zenodo.1414782"},{"key":"202_CR12","doi-asserted-by":"crossref","unstructured":"Costa YM, Oliveira LS, Koerich AL, Gouyon F (2012) Comparing textural features for music genre classification. In: The 2012 International Joint Conference on Neural Networks (IJCNN). IEEE, pp 1\u20136","DOI":"10.1109\/IJCNN.2012.6252626"},{"issue":"24","key":"202_CR13","doi-asserted-by":"publisher","first-page":"5082","DOI":"10.19026\/rjaset.7.903","volume":"7","author":"H Muaidi","year":"2014","unstructured":"Muaidi H, Al-Ahmad A, Khdoor T, Alqrainy S, Alkoffash M (2014) Arabic audio news retrieval system using dependent speaker mode, mel frequency cepstral coefficient and dynamic time warping techniques. Res J Appl Sci Eng Technol 7(24):5082\u20135097","journal-title":"Res J Appl Sci Eng Technol"},{"key":"202_CR14","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1007\/978-3-319-63450-0_4","volume-title":"Computational analysis of sound scenes and events","author":"R Serizel","year":"2018","unstructured":"Serizel R, Bisot V, Essid S, Richard G (2018) Acoustic features for environmental sound analysis. In: Virtanen T, Plumbley M, Ellis D (eds) Computational analysis of sound scenes and events. Springer, Cham, pp 71\u2013101"},{"issue":"1","key":"202_CR15","first-page":"7","volume":"2","author":"J Aguilar","year":"2001","unstructured":"Aguilar J (2001) A general ant colony model to solve combinatorial optimization problems. Rev Colombiana de Comput 2(1):7\u201318","journal-title":"Rev Colombiana de Comput"},{"issue":"4","key":"202_CR16","first-page":"731737","volume":"11","author":"J Aguilar","year":"1998","unstructured":"Aguilar J (1998) Definition of an energy function for the random neural to solve optimization problems. Neural Netw 11(4):731737","journal-title":"Neural Netw"},{"issue":"5","key":"202_CR17","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 (2002) Musical genre classification of audio signals. IEEE Trans Speech Audio Process 10(5):293\u2013302. https:\/\/doi.org\/10.1109\/tsa.2002.800560","journal-title":"IEEE Trans Speech Audio Process"},{"key":"202_CR18","doi-asserted-by":"publisher","unstructured":"Li T, Ogihara M, Li Q (2003) A comparative study on content-based music genre classification. In: Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval \u2014SIGIR \u201903. ACM Press [Online]. Available: https:\/\/doi.org\/10.1145\/860435.860487","DOI":"10.1145\/860435.860487"},{"key":"202_CR19","unstructured":"Lidy T, Rauber A (2005) Evaluation of feature extractors and psycho-acoustic transformations for music genre classification. In: Proceedings of the International Society for Music Information Retrieval Conference (ISMIR). pp 34\u201341"},{"key":"202_CR20","unstructured":"Pampalk E, Flexer A, Widmer G (2005) Improvements of audio-based music similarity and genre classificaton. In:Proc. 6th Int. Conf. Music Information Retrieval, pp 628\u2013633, 01"},{"issue":"2\u20133","key":"202_CR21","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 (2006) Aggregate features and ADABOOST for music classification. Mach Learn 65(2\u20133):473\u2013484. https:\/\/doi.org\/10.1007\/s10994-006-9019-7","journal-title":"Mach Learn"},{"issue":"2","key":"202_CR22","doi-asserted-by":"publisher","first-page":"424","DOI":"10.1109\/tasl.2007.909434","volume":"16","author":"A Holzapfel","year":"2008","unstructured":"Holzapfel A, Stylianou Y (2008) Musical genre classification using nonnegative matrix factorization-based features. IEEE Trans Audio, Speech, Language Process 16(2):424\u2013434. https:\/\/doi.org\/10.1109\/tasl.2007.909434","journal-title":"IEEE Trans Audio, Speech, Language Process"},{"key":"202_CR23","doi-asserted-by":"publisher","unstructured":"Kobayashi T, Kubota A, Suzuki Y (Dec. 2018) Audio feature extraction based on sub-band signal correlations for music genre classification. In: 2018 IEEE International Symposium on Multimedia (ISM). IEEE. [Online]. Available: https:\/\/doi.org\/10.1109\/ism.2018.00-15","DOI":"10.1109\/ism.2018.00-15"},{"issue":"3","key":"202_CR24","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1007\/s11761-019-00266-w","volume":"13","author":"L Morales","year":"2019","unstructured":"Morales L, Ouedraogo CA, Aguilar J, Chassot C, Medjiah S, Drira K (2019) Experimental comparison of the diagnostic capabilities of classification and clustering algorithms for the qos management in an autonomic iot platform. Serv Orient Comput Appl 13(3):199\u2013219","journal-title":"Serv Orient Comput Appl"},{"key":"202_CR25","doi-asserted-by":"publisher","first-page":"162917","DOI":"10.1109\/ACCESS.2020.3021675","volume":"8","author":"L Morales","year":"2020","unstructured":"Morales L, Aguilar J (2020) An automatic merge technique to improve the clustering quality performed by lamda. IEEE Access 8:162917\u2013162944","journal-title":"IEEE Access"},{"key":"202_CR26","doi-asserted-by":"publisher","unstructured":"Pampalk E, Rauber A, Merkl D (2002) Content-based organization and visualization of music archives. In: Proceedings of the tenth (ACM) international conference on Multimedia\u2014(MULTIMEDIA) 02. ACM Press. [Online]. Available: https:\/\/doi.org\/10.1145\/641007.641121","DOI":"10.1145\/641007.641121"},{"key":"202_CR27","unstructured":"Pampalk E, Dixon S, Widmer G (2003) On the evaluation of perceptual similarity measures for music. In: of: Proceedings of the sixth international conference on digital audio effects (DAFx-03), pp 7\u201312"},{"key":"202_CR28","unstructured":"Mandel MI, Ellis DP (2005) Song-level features and support vector machines for music classification. Proc. 6th Int. Conf. Music Information Retrieval, pp 594\u2013599"},{"issue":"3","key":"202_CR29","doi-asserted-by":"publisher","first-page":"564","DOI":"10.1109\/tmm.2006.870730","volume":"8","author":"T Li","year":"2006","unstructured":"Li T, Ogihara M (2006) Toward intelligent music information retrieval. IEEE Trans Multimed 8(3):564\u2013574. https:\/\/doi.org\/10.1109\/tmm.2006.870730","journal-title":"IEEE Trans Multimed"},{"key":"202_CR30","unstructured":"Tzanetakis G (2008) Marsyas-0.2: a case study in implementing music information retrieval systems. In: Shen J, Shepherd J, Cui B, Liu L (eds) Intelligent music information systems: tools and methodologies. IGI Global. pp 31\u201349"},{"key":"202_CR31","unstructured":"Panagakis I, Benetos E, Kotropoulos C (2008) Music genre classification: a multilinear approach. In: Proceedings of the 9th International Society for Music Information Retrieval Conference (ISMIR). pp 583\u2013588"}],"container-title":["International Journal of Multimedia Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13735-020-00202-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13735-020-00202-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13735-020-00202-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,12]],"date-time":"2021-03-12T16:06:29Z","timestamp":1615565189000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13735-020-00202-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,7]]},"references-count":31,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,3]]}},"alternative-id":["202"],"URL":"https:\/\/doi.org\/10.1007\/s13735-020-00202-1","relation":{},"ISSN":["2192-6611","2192-662X"],"issn-type":[{"value":"2192-6611","type":"print"},{"value":"2192-662X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1,7]]},"assertion":[{"value":"28 September 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 October 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 December 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 January 2021","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}