ENSA dataset: a dataset of songs by non-superstar artists tested with an emotional analysis based on time-series-Reference-Cited by-同舟云学术

ENSA dataset: a dataset of songs by non-superstar artists tested with an emotional analysis based on time-series

Published:2023-06-05 Issue:5 Volume:27 Page:1909-1925
ISSN:1617-4909
Container-title:Personal and Ubiquitous Computing
language:en
Short-container-title:Pers Ubiquit Comput

Author:

Ospitia-Medina Yesid,Beltrán José Ramón,Baldassarri Sandra

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,Computer Science Applications,Hardware and Architecture,Library and Information Sciences

Link

https://link.springer.com/content/pdf/10.1007/s00779-023-01721-4.pdf

Reference54 articles.

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3. Bachorik JP, Bangert M, Loui P, Larke K, Berger J, Rowe R, Schlaug G (2009) Emotion in Motion: Investigating the Time-Course of Emotional Judgments of Musical Stimuli. Music Perception 26(4):355–364. https://doi.org/10.1525/mp.2009.26.4.355

4. Bauer C, Kholodylo M, Strauss C (2017) Music recommender systems challenges and opportunities for non-superstar artists. In: Digital Transformation - From Connecting Things to Transforming Our Lives, University of Maribor Press, Bled, pp 21–32, 10.18690/978-961-286-043-1.3

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