Zobrazeno 1 - 10
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pro vyhledávání: '"Makris, Dimos"'
Although media content is increasingly produced, distributed, and consumed in multiple combinations of modalities, how individual modalities contribute to the perceived emotion of a media item remains poorly understood. In this paper we present Music
Externí odkaz:
http://arxiv.org/abs/2202.10453
The field of automatic music composition has seen great progress in recent years, specifically with the invention of transformer-based architectures. When using any deep learning model which considers music as a sequence of events with multiple compl
Externí odkaz:
http://arxiv.org/abs/2202.04464
The field of automatic music composition has seen great progress in the last few years, much of which can be attributed to advances in deep neural networks. There are numerous studies that present different strategies for generating sheet music from
Externí odkaz:
http://arxiv.org/abs/2104.13056
Considering music as a sequence of events with multiple complex dependencies, the Long Short-Term Memory (LSTM) architecture has proven very efficient in learning and reproducing musical styles. However, the generation of rhythms requires additional
Externí odkaz:
http://arxiv.org/abs/1809.06127
Autor:
Kaliakatsos-Papakostas, Maximos, Bastas, Grigoris, Makris, Dimos, Herremans, Dorrien, Katsouros, Vassilis, Maragos, Petros
Guitar tablature transcription consists in deducing the string and the fret number on which each note should be played to reproduce the actual musical part. This assignment should lead to playable string-fret combinations throughout the entire track
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ac09f3e00e251c6df6fda714b558be7
Autor:
Makris, Dimos1 (AUTHOR) c12makr@ionio.gr, Kaliakatsos-Papakostas, Maximos2 (AUTHOR) maxk@mus.auth.gr, Karydis, Ioannis1 (AUTHOR) karydis@ionio.gr, Kermanidis, Katia Lida1 (AUTHOR) kerman@ionio.gr
Publikováno v:
Neural Computing & Applications. Jun2019, Vol. 31 Issue 6, p1793-1804. 12p.
Autor:
Kaliakatsos-Papakostas, Maximos, Makris, Dimos, Zacharakis, Asterios, Tsougras, Costas, Cambouropoulos, Emilios
Publikováno v:
Artificial Intelligence Applications & Innovations (9783319449432); 2016, p520-527, 8p
Publikováno v:
ACM International Conference Proceeding Series; Sep2015, p1-7, 7p
Publikováno v:
Mathematics & Computation in Music: 5th International Conference, MCM 2015, London, UK, June 22-25, 2015, Proceedings; 2015, p128-134, 7p
Publikováno v:
Artificial Intelligence Applications & Innovations: AIAI 2014 Workshops: CoPA, MHDW, IIVC & MT4BD, Rhodes, Greece, September 19-21, 2014. Proceedings; 2014, p165-173, 9p