Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Yesid Ospitia Medina"'
Autor:
Yesid Ospitia Medina
Publikováno v:
Revista Iberoamericana de Tecnología en Educación y Educación en Tecnología, Iss 37 (2024)
Los factores que motivan la investigación son los siguientes: Los modelos computacionales relacionados con el estudio de la música desde la computación afectiva son pocos, y se encuentran en una etapa temprana de desarrollo. Desde el punto de v
Externí odkaz:
https://doaj.org/article/6989f6a91b3c432bb071e698a6dd5037
Publikováno v:
Advances in Speech and Music Technology ISBN: 9783031184437
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3e9889645e0ec135e1dd8306684e490
https://doi.org/10.1007/978-3-031-18444-4_4
https://doi.org/10.1007/978-3-031-18444-4_4
Autor:
Jose Ramon Beltran, Yesid Ospitia-Medina, José A. Olivas, Sandra Baldassarri, Cecilia Verónica Sanz
Publikováno v:
2020 IEEE Congreso Bienal de Argentina (ARGENCON).
This article presents an overview of emotional recognition of music (MER) through the fuzzy logic approach. First, related papers are reviewed to analyze how fuzzy logic is used in each phase of a typical MER process. Subsequently, a prototype of a f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::854186eb80f6b32fe807776697519a42
https://doi.org/10.1109/argencon49523.2020.9505382
https://doi.org/10.1109/argencon49523.2020.9505382
Publikováno v:
Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname
Zaguán: Repositorio Digital de la Universidad de Zaragoza
Universidad de Zaragoza
instname
Zaguán: Repositorio Digital de la Universidad de Zaragoza
Universidad de Zaragoza
The proven ability of music to transmit emotions provokes the increasing interest in the development of new algorithms for music emotion recognition (MER). In this work, we present an automatic system of emotional classification of music by implement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::504039d5979abc0c6051dc84653a75f8
http://zaguan.unizar.es/record/101526
http://zaguan.unizar.es/record/101526
Publikováno v:
Audio Mostly Conference
This article focuses on the process of designing a prediction system for automatic recognition of emotions in music. One of the main goals of this work is to analyze a prediction solution and some possible variations in its design that allow maximizi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4844ab42aba0c4dff679b9a110de0a7
https://doi.org/10.1145/3356590.3356626
https://doi.org/10.1145/3356590.3356626
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030052690
This article presents a review of high-level libraries that enable to recognize emotions in digital files of music. The main objective of the work is to study and compare different high-level content-analyzer libraries, showing their main functionali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1b6a0d112340ff1d804d550e5fae9db
https://doi.org/10.1007/978-3-030-05270-6_12
https://doi.org/10.1007/978-3-030-05270-6_12