{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T03:09:08Z","timestamp":1743131348616,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031224188"},{"type":"electronic","value":"9783031224195"}],"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\/978-3-031-22419-5_2","type":"book-chapter","created":{"date-parts":[[2023,1,3]],"date-time":"2023-01-03T08:12:54Z","timestamp":1672733574000},"page":"15-26","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Forroset: A Multipurpose Dataset of\u00a0Brazilian Forr\u00f3 Music"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4924-4666","authenticated-orcid":false,"given":"Lucas","family":"Ferreira-Paiva","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0840-1039","authenticated-orcid":false,"given":"Elizabeth Regina","family":"Alfaro-Espinoza","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3844-0506","authenticated-orcid":false,"given":"Pablo","family":"de Souza Vieira Santana","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9253-949X","authenticated-orcid":false,"given":"Vinicius Martins","family":"Almeida","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2454-8516","authenticated-orcid":false,"given":"Amanda Bomfim","family":"Moitinho","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6184-2354","authenticated-orcid":false,"given":"Leonardo Bonato","family":"Felix","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0101-483X","authenticated-orcid":false,"given":"Rodolpho Vilela Alves","family":"Neves","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,1,4]]},"reference":[{"key":"2_CR1","doi-asserted-by":"publisher","first-page":"101242","DOI":"10.1016\/j.pmcj.2020.101242","volume":"67","author":"P \u00c1lvarez","year":"2020","unstructured":"\u00c1lvarez, P., Zarazaga-Soria, F.J., Baldassarri, S.: Mobile music recommendations for runners based on location and emotions: The dj-running system. Perv. Mob. Comput. 67, 101242 (2020)","journal-title":"Perv. Mob. Comput."},{"key":"2_CR2","unstructured":"Andrade, F.F.N., Figueiredo, F., Silva, D., Morais, F.: Measuring disruption in song similarity networks. In: Proceedings of International Society for Music Information Retrieval (2020)"},{"key":"2_CR3","doi-asserted-by":"crossref","unstructured":"de Ara\u00fajo Lima, R., de Sousa, R.C.C., Lopes, H., Barbosa, S.D.J.: Brazilian lyrics-based music genre classification using a blstm network. In: International Conference on Artificial Intelligence and Soft Computing, vol. 12415, pp. 525\u2013534 (2020)","DOI":"10.1007\/978-3-030-61401-0_49"},{"issue":"1","key":"2_CR4","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1080\/09298215.2014.929706","volume":"44","author":"TM Esparza","year":"2015","unstructured":"Esparza, T.M., Bello, J.P., Humphrey, E.J.: From genre classification to rhythm similarity: computational and musicological insights. J. New Music Res. 44(1), 39\u201357 (2015)","journal-title":"J. New Music Res."},{"key":"2_CR5","doi-asserted-by":"publisher","unstructured":"Falc\u00e3o, F.V.: Dataset forr\u00f3 em vinil (2021). https:\/\/doi.org\/10.5281\/zenodo.5125205","DOI":"10.5281\/zenodo.5125205"},{"issue":"6","key":"2_CR6","doi-asserted-by":"publisher","first-page":"970","DOI":"10.1109\/TLA.2022.9757740","volume":"20","author":"L Ferreira-Paiva","year":"2022","unstructured":"Ferreira-Paiva, L., Lopes, H.G., Alfaro-Espinoza, E.R., F\u00e9lix, L.B., Neves, R.V.A.: Towards a device for helping deaf people to dance: estimation of forro bar length using artificial neural network. IEEE Latin Am. Trans. 20(6), 970\u2013976 (2022)","journal-title":"IEEE Latin Am. Trans."},{"key":"2_CR7","doi-asserted-by":"crossref","unstructured":"Fiesler, C., Beard, N., Keegan, B.C.: No robots, spiders, or scrapers: legal and ethical regulation of data collection methods in social media terms of service. In: Proceedings of the International AAAI Conference on Web and Social Media, vol. 14, pp. 187\u2013196 (2020)","DOI":"10.1609\/icwsm.v14i1.7290"},{"key":"2_CR8","unstructured":"Figueira, J.L.: Brazilian songs lyrics (2018). https:\/\/bit.ly\/kaggle-BSL"},{"key":"2_CR9","doi-asserted-by":"crossref","unstructured":"Ge, Y., Wu, J., Sun, Y.: Popularity prediction of music based on factor extraction and model blending. In: 2020 2nd International Conference on Economic Management and Model Engineering, pp. 1062\u20131065 (2020)","DOI":"10.1109\/ICEMME51517.2020.00214"},{"issue":"3","key":"2_CR10","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1080\/15265161.2016.1276644","volume":"17","author":"L Gelinas","year":"2017","unstructured":"Gelinas, L., Pierce, R., Winkler, S., Cohen, I.G., Lynch, H.F., Bierer, B.E.: Using social media as a research recruitment tool: ethical issues and recommendations. Am. J. Bioethics 17(3), 3\u201314 (2017)","journal-title":"Am. J. Bioethics"},{"key":"2_CR11","unstructured":"IPHAN: Matrizes Tradicionais do Forr\u00f3 recebem t\u00edtulo de Patrim\u00f4nio Cultural do Brasil (2021). https:\/\/bit.ly\/iphan-forro"},{"issue":"11","key":"2_CR12","doi-asserted-by":"publisher","first-page":"3173","DOI":"10.1109\/TMM.2018.2820903","volume":"20","author":"J Lee","year":"2018","unstructured":"Lee, J., Lee, J.S.: Music popularity: metrics, characteristics, and audio-based prediction. IEEE Trans. Multimedia 20(11), 3173\u20133182 (2018)","journal-title":"IEEE Trans. Multimedia"},{"issue":"5","key":"2_CR13","doi-asserted-by":"publisher","first-page":"7313","DOI":"10.1007\/s11042-020-09643-6","volume":"80","author":"C Liu","year":"2021","unstructured":"Liu, C., Feng, L., Liu, G., Wang, H., Liu, S.: Bottom-up broadcast neural network for music genre classification. Multimedia Tools Appl. 80(5), 7313\u20137331 (2021)","journal-title":"Multimedia Tools Appl."},{"key":"2_CR14","unstructured":"Luo, K.: Machine Learning Approach for Genre Prediction on Spotify Top Ranking Songs. Master\u2019s thesis, University of North Carolina (2018)"},{"key":"2_CR15","doi-asserted-by":"crossref","unstructured":"MatthewDavies, E., B\u00f6ck, S.: Temporal convolutional networks for musical audio beat tracking. In: 2019 27th European Signal Processing Conference, pp. 1\u20135 (2019)","DOI":"10.23919\/EUSIPCO.2019.8902578"},{"key":"2_CR16","doi-asserted-by":"crossref","unstructured":"Mondelli, M.L.B., Jr., L.M.R.G., Ziviani, A.: O que os pa\u00edses escutam: Analisando a rede de g\u00eaneros musicais ao redor do mundo. In: Anais do VII Brazilian Workshop on Social Network Analysis and Mining (2018)","DOI":"10.5753\/brasnam.2018.3586"},{"key":"2_CR17","unstructured":"Paiva, L.F., Lopes, H.G., Felix, L.B., Neves, R.V.: Estima\u00e7\u00e3o do compasso musical do forr\u00f3 utilizando rede perceptron multicamadas. In: Congresso Brasileiro de Autom\u00e1tica-CBA (2020)"},{"key":"2_CR18","unstructured":"Quadros Junior, A.C., Volp, C.M.: Forr\u00f3 universit\u00e1rio: a tradu\u00e7\u00e3o do forr\u00f3 nordestino no sudeste brasileiro. Motriz. J. Phys. Educ. UNESP, 117\u2013120 (2005)"},{"key":"2_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijhcs.2022.102776","volume":"161","author":"ADP dos Santos","year":"2022","unstructured":"dos Santos, A.D.P., Loke, L., Yacef, K., Martinez-Maldonado, R.: Enriching teachers\u2019 assessments of rhythmic forr\u00f3 dance skills by modelling motion sensor data. Int. J. Human-Comput. Stud. 161, 102776 (2022)","journal-title":"Int. J. Human-Comput. Stud."},{"key":"2_CR20","doi-asserted-by":"crossref","unstructured":"Santos, A.D.P.d., Tang, L.M., Loke, L., Martinez-Maldonado, R.: You are off the beat! is accelerometer data enough for measuring dance rhythm? In: Proceedings of the 5th International Conference on Movement and Computing (2018)","DOI":"10.1145\/3212721.3212724"},{"key":"2_CR21","doi-asserted-by":"crossref","unstructured":"Santos, A.D.P.d., Yacef, K., Martinez-Maldonado, R.: Let\u2019s dance: how to build a user model for dance students using wearable technology. In: Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, pp. 183\u2013191 (2017)","DOI":"10.1145\/3079628.3079673"},{"key":"2_CR22","unstructured":"Schreiber, H., M\u00fcller, M.: A single-step approach to musical tempo estimation using a convolutional neural network. In: Proceedings of International Society for Music Information Retrieval, pp. 98\u2013105 (2018)"},{"key":"2_CR23","unstructured":"Silla Jr, C.N., Koerich, A.L., Kaestner, C.A.: The latin music database. In: Proceedings of International Society for Music Information Retrieval, pp. 451\u2013456 (2008)"},{"key":"2_CR24","unstructured":"Zangerle, E., V\u00f6tter, M., Huber, R., Yang, Y.H.: Hit song prediction: leveraging low-and high-level audio features. In: Proceedings of International Society for Music Information Retrieval, pp. 319\u2013326 (2019)"}],"container-title":["Lecture Notes in Computer Science","Advances in Artificial Intelligence \u2013 IBERAMIA 2022"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-22419-5_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,11]],"date-time":"2024-10-11T14:15:25Z","timestamp":1728656125000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-22419-5_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031224188","9783031224195"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-22419-5_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"4 January 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IBERAMIA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ibero-American Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cartagena de Indias","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Colombia","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":"23 November 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 November 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iberamia2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iberamia.org\/iberamia\/iberamia2022\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EquinOCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"67","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"33","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"49% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}