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pro vyhledávání: '"expressive music performance"'
Akademický článek
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Publikováno v:
Frontiers in Psychology, Vol 11 (2020)
Musical performance is a multimodal experience, for performers and listeners alike. This paper reports on a pilot study which constitutes the first step toward a comprehensive approach to the experience of music as performed. We aim at bridging the g
Externí odkaz:
https://doaj.org/article/d15ed5c56c1f4c349f4d3d909de5991d
Publikováno v:
Transactions of the International Society for Music Information Retrieval, Vol 2, Iss 1 (2019)
The employment of playing techniques such as string bend and vibrato in electric guitar performance makes it difficult to transcribe the note events using general note tracking methods. These methods analyze the contour of fundamental frequency compu
Externí odkaz:
https://doaj.org/article/2fe2a63306c84afeb13d2745b0af3e91
Publikováno v:
Frontiers in Psychology, Vol 10 (2019)
Background: Expression is a key skill in music performance, and one that is difficult to address in music lessons. Computational models that learn from expert performances can help providing suggestions and feedback to students.Aim: We propose and an
Externí odkaz:
https://doaj.org/article/63d35cfd971e4b61947e7db748686754
Autor:
Sergio Ivan Giraldo, Rafael Ramirez
Publikováno v:
Frontiers in Psychology, Vol 7 (2016)
Expert musicians introduce expression in their performances by manipulating sound properties such as timing, energy, pitch, and timbre. Here, we present a data driven computational approach to induce expressive performance rule models for note durati
Externí odkaz:
https://doaj.org/article/4836e9e521c740998a5a5b30952fc926
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030438869
PKDD/ECML Workshops (2)
PKDD/ECML Workshops (2)
Comunicació presentada al Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2019), celebrat del 16 al 20 de setembre de 2019 a Würzburg, Alemanya. We present a machine–learning model for predicting the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a8ea28eba8961be8bc80000fb618caf
https://doi.org/10.1007/978-3-030-43887-6_46
https://doi.org/10.1007/978-3-030-43887-6_46
Publikováno v:
Transactions of the International Society for Music Information Retrieval, Vol 2, Iss 1 (2019)
The employment of playing techniques such as string bend and vibrato in electric guitar performance makes it difficult to transcribe the note events using general note tracking methods. These methods analyze the contour of fundamental frequency compu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdfd1368099ca6ffcbc46ad314f248bf
https://transactions.ismir.net/articles/23
https://transactions.ismir.net/articles/23
submitted by Carlos Eduardo Cancino Chacon Universität Linz, Dissertation, 2018
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3361::6f523fc8f78c91edc58c63f1f30ca6ff
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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Autor:
Rafael Ramirez, Sergio Giraldo
Publikováno v:
Frontiers in Psychology
Frontiers in Psychology, Vol 7 (2016)
Recercat. Dipósit de la Recerca de Catalunya
instname
Frontiers in Psychology, Vol 7 (2016)
Recercat. Dipósit de la Recerca de Catalunya
instname
Expert musicians introduce expression in their performances by manipulating sound properties such as timing, energy, pitch, and timbre. Here, we present a data driven computational approach to induce expressive performance rule models for note durati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7298400eaf9fb93aa07e7119dd765790
https://zenodo.org/record/2579144
https://zenodo.org/record/2579144