Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Siddharth Gururani"'
Publikováno v:
Transactions of the International Society for Music Information Retrieval, Vol 3, Iss 1 (2020)
A musical performance renders an acoustic realization of a musical score or other representation of a composition. Different performances of the same composition may vary in terms of performance parameters such as timing or dynamics, and these variat
Externí odkaz:
https://doaj.org/article/eee429ce70964eec80d119701e3940c3
Publikováno v:
Applied Sciences, Vol 8, Iss 4, p 507 (2018)
Music performance assessment is a highly subjective task often relying on experts to gauge both the technical and aesthetic aspects of the performance from the audio signal. This article explores the task of building computational models for music pe
Externí odkaz:
https://doaj.org/article/26f24092d22f49d1ac0a4f3abc2e5e38
Autor:
Siddharth Gururani, Alexander Lerch
Audio classification has seen great progress with the increasing availability of large-scale datasets. These large datasets, however, are often only partially labeled as collecting full annotations is a tedious and expensive process. This paper prese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a24d5f8722475089eedaab422dfc46f5
http://arxiv.org/abs/2111.12761
http://arxiv.org/abs/2111.12761
Publikováno v:
Transactions of the International Society for Music Information Retrieval, Vol 3, Iss 1 (2020)
A musical performance renders an acoustic realization of a musical score or other representation of a composition. Different performances of the same composition may vary in terms of performance parameters such as timing or dynamics, and these variat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d60ac92543e565f3bccb2c7c85ef91f0
Publikováno v:
Applied Sciences, Vol 8, Iss 4, p 507 (2018)
Applied Sciences; Volume 8; Issue 4; Pages: 507
Applied Sciences; Volume 8; Issue 4; Pages: 507
Music performance assessment is a highly subjective task often relying on experts to gauge both the technical and aesthetic aspects of the performance from the audio signal. This article explores the task of building computational models for music pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a2e7337766990c2c94139c0639a4e4a
https://doi.org/10.3390/app8040507
https://doi.org/10.3390/app8040507