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English Information

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Authors
# Name
1 Gabriel Silva(gabriel.hs@aluno.ufop.edu.br)
2 Leonam Almeida(leonam.almeida@aluno.ufop.edu.br)
3 Helen Lima(helen@ufop.edu.br)
4 Filipe Moura(filipe.moura@dcc.ufmg.br)

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Reference
# Reference
1 Danilo B. Seufitelli, Gabriel P. Oliveira, Mariana O. Silva, Clarisse Scofield, Mirella M. Moro. "Hit Song Science: A Comprehensive Survey and Research Directions". Journal of New Music Research, v. 52, n. 1, p. 41-72, 2023. DOI: 10.1080/09298215.2023.2282999
2 Pablo Bello, David Garcia. "Cultural Divergence in Popular Music: The Increasing Diversity of Music Consumption on Spotify across Countries". Humanities and Social Sciences Communications, v. 8, n. 1, p. 182, 2021. DOI: 10.1057/s41599-021-00855-1
3 Fernando Terroso-Sáenz, Jesús Soto, Andrés Muñoz. "Music Mobility Patterns: How Songs Propagate Around the World through Spotify". Pattern Recognition, v. 143, p. 109807, 2023. DOI: 10.1016/j.patcog.2023.109807
4 Fernando Terroso-Sáenz, Jesús Soto, Andrés Muñoz. "Evolution of Global Music Trends: An Exploratory and Predictive Approach Based on Spotify Data". Entertainment Computing, v. 44, p. 100536, 2023. DOI: 10.1016/j.entcom.2022.100536
5 Lachlan D. Way, David Garcia, Jennifer Gathright [+ demais autores a confirmar]. "Local Trends in Global Music Streaming". Proceedings of the International AAAI Conference on Web and Social Media, 2020.
6 Filipe A. S. Moura, Carlos H. G. Ferreira, Helen C. S. C. Lima. "Beyond Acoustic Features: A Data-Driven Analysis of Music Consumption in Brazil". Journal on Interactive Systems, v. 16, n. 1, 2025. DOI: 10.5753/jis.2025.5552
7 Hanna Sherrel Saragih. "Predicting Song Popularity Based on Spotify's Audio Features: Insights from the Indonesian Streaming Users". Journal of Management Analytics, v. 10, n. 4, p. 693-709, 2023. DOI: 10.1080/23270012.2023.2239824
8 Niklas Sebastian, Florian Mayer [et.al]. "Beyond Beats: A Recipe to Song Popularity? A Machine Learning Approach". arXiv:2403.12079, 2024.
9 Gerasimos Rompolas, Athanasios Smpoukis, Eleanna Kafeza, Christos Makris. "Predicting Song Popularity Through Machine Learning and Sentiment Analysis on Social Networks". Artificial Intelligence Applications and Innovations (AIAI 2024), IFIP Advances in Information and Communication Technology, v. 715, Springer, 2024. DOI: 10.1007/978-3-031-63227-3_22
10 Lyuzhou Zhuo, Ruibin Yuan, Jinzhao Pan, Yinghao Ma, Yi Li, Guangzhi Zhang [+ demais autores a confirmar]. "LyricWhiz: Robust Multilingual Zero-Shot Lyrics Transcription by Whispering to ChatGPT". Proceedings of the 24th International Society for Music Information Retrieval Conference (ISMIR), p. 343-351, 2023.
11 Hans-Ulrich Berendes, Simon Schwär, Meinard Müller. "Lyrics Transcription in Western Classical Music with Whisper: A Case Study on Schubert's Winterreise". Proceedings of the 3rd Workshop on NLP for Music and Audio (NLP4MusA), p. 11-16, 2024
12 Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey, Ilya Sutskever. "Robust Speech Recognition via Large-Scale Weak Supervision". Proceedings of the 40th International Conference on Machine Learning (ICML), p. 28492-28518, 2023.
13 Gabriel Oliveira, Luca Vassio, Ana Silva, Mirella Moro. "Modeling music popularity as an epidemic: insights from the Brazilian market". Anais do XIV Brazilian Workshop on Social Network Analysis and Mining, Maceió/AL, p. 79-92, SBC, 2025. DOI: 10.5753/brasnam.2025.8760
14 Gabriel Oliveira, Gabriel Barbosa, Bruna Melo, Mariana Silva, Danilo Seufitelli, Mirella Moro. "MUHSIC: An Open Dataset with Temporal Musical Success Information". Anais do III Dataset Showcase Workshop, Rio de Janeiro, p. 65-76, SBC, 2021. DOI: 10.5753/dsw.2021.17415
15 André Bertoni, Rodrigo Lemos. "Três Datasets criados a partir de um banco de Canções Populares Brasileiras de Sucesso e Não-Sucesso de 2014 a 2019". Anais do III Dataset Showcase Workshop, Rio de Janeiro, p. 11-20, SBC, 2021. DOI: 10.5753/dsw.2021.17410
16 Danilo Seufitelli, Gabriel Oliveira, Mariana Silva, Mirella Moro. "MGD+: An Enhanced Music Genre Dataset with Success-based Networks". Anais do V Dataset Showcase Workshop, Belo Horizonte/MG, p. 36-47, SBC, 2023. DOI: 10.5753/dsw.2023.233826
17 Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao Ma, Xingran Chen, Hanzhi Yin, Chenghao Xiao, Chenghua Lin, Anton Ragni, Emmanouil Benetos, Norbert Gyenge, Roger Dannenberg, Ruibo Liu, Wenhu Chen, Gus Xia, Yemin Shi, Wenhao Huang, Zili Wang, Yike Guo, Jie Fu. "MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training". The Twelfth International Conference on Learning Representations, 2024.
18 Leland McInnes, John Healy, James Melville. "UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction". arXiv:1802.03426, 2020.
19 Jarkko Venna, Samuel Kaski. "Local multidimensional scaling". Neural Networks, v. 19, n. 6, p. 889-899, 2006. DOI: 10.1016/j.neunet.2006.05.014