Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ashis Pati"'
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
Autor:
Ashis Pati, Jubraj Khamari
Publikováno v:
International Journal of Applied Research. 8:01-09
Autor:
Ashis Pati, Jubraj Khamari
Publikováno v:
International Journal of Applied Research. 8:82-85
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
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
Autor:
Ashis Pati, Alexander Lerch
Selective manipulation of data attributes using deep generative models is an active area of research. In this paper, we present a novel method to structure the latent space of a Variational Auto-Encoder (VAE) to encode different continuous-valued att
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99e1b93ddea2efb360466ce586e700ca
http://arxiv.org/abs/2004.05485
http://arxiv.org/abs/2004.05485
Deep generative models for symbolic music are typically designed to model temporal dependencies in music so as to predict the next musical event given previous events. In many cases, such models are expected to learn abstract concepts such as harmony
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33d3247925da9c4e7064a8484761f403
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
Publikováno v:
2012 4th International Conference on Intelligent and Advanced Systems (ICIAS2012).
Camera placement has huge impact on the performance of large scale surveillance. The quality of the coverage and cost of the camera network make the problem multi-objective. The problem becomes even more difficult when realistic conditions like obsta