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pro vyhledávání: '"Tamer, Nazif Can"'
Musical dynamics form a core part of expressive singing voice performances. However, automatic analysis of musical dynamics for singing voice has received limited attention partly due to the scarcity of suitable datasets and a lack of clear evaluatio
Externí odkaz:
http://arxiv.org/abs/2410.20540
Autor:
Ramoneda, Pedro, Jeong, Dasaem, Eremenko, Vsevolod, Tamer, Nazif Can, Miron, Marius, Serra, Xavier
Predicting the difficulty of playing a musical score is essential for structuring and exploring score collections. Despite its importance for music education, the automatic difficulty classification of piano scores is not yet solved, mainly due to th
Externí odkaz:
http://arxiv.org/abs/2306.08480
In this paper, we introduce score difficulty classification as a sub-task of music information retrieval (MIR), which may be used in music education technologies, for personalised curriculum generation, and score retrieval. We introduce a novel datas
Externí odkaz:
http://arxiv.org/abs/2203.13010
Autor:
Ramoneda, Pedro, Jeong, Dasaem, Eremenko, Vsevolod, Tamer, Nazif Can, Miron, Marius, Serra, Xavier
Publikováno v:
In Expert Systems With Applications 15 March 2024 238 Part B
Publikováno v:
International Society for Music Information Retrieval Conference Proceedings; 2023, p223-230, 8p
Publikováno v:
International Society for Music Information Retrieval Conference Proceedings; 2022, p517-524, 8p