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pro vyhledávání: '"Katerina Kosta"'
The task of identifying melodic lines in a polyphonic piece is a known active research topic in the symbolic and audio domain. Its importance has attracted the interest of researchers focusing on Music Information Retrieval and musicological applicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::940000161443dee4f6cd598747fa5ba8
Publikováno v:
Journal of New Music Research. 47:438-461
Knowing how notated dynamic markings map to/from performed loudness have practical implications for music transcription and expression synthesis. Analysing 2000 recordings of 44 Chopin Mazu...
Autor:
Katerina Kosta
Publikováno v:
Encyclopedia of Sustainability in Higher Education ISBN: 9783319639512
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c34305134038ecc379e3645bb54f838e
https://doi.org/10.1007/978-3-319-63951-2_196-1
https://doi.org/10.1007/978-3-319-63951-2_196-1
Publikováno v:
Machine Learning and Music Generation ISBN: 9781351234542
Journal of Mathematics and Music
Journal of Mathematics and Music
Loudness variation is one of the foremost tools for expressivity in music performance. Loudness is frequently notated as dynamic markings such as p (piano, meaning soft) or f (forte, meaning loud). While dynamic markings in music scores are important
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b15d00fbc19f41326a65c701617bffbe
https://doi.org/10.4324/9781351234542-5
https://doi.org/10.4324/9781351234542-5
Autor:
Gabriele Medeot, Srikanth Cherla, Katerina Kosta, Matt McVicar, Samer Abdallah, Marco Selvi, Ed Newton-Rex, Kevin Webster
We present the StructureNet - a recurrent neural network for inducing structure in machine-generated compositions. This model resides in a musical structure space and works in tandem with a probabilistic music generation model as a modifying agent. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10715b388c0186b0a250dd9e77f985e4
Publikováno v:
BASE-Bielefeld Academic Search Engine
Large-scale analysis of expressive performance—with focus on how a performer responds to score markings---has been limited by a lack of big datasets of recordings with accurate beat and loudness information with score markings. To bridge this gap,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::048e714e0ae831da0fba7b01328ada29
Autor:
Katerina Kosta
Publikováno v:
World Sustainability Series ISBN: 9783319702803
One of the major barriers to incorporating sustainability in the HE curriculum is its absence from the university sustainability strategy, the annual reflection of which is the annual sustainability report. While strategies specify targets, reports r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6865f819630e34413d5914b4fe1851b6
https://radar.brookes.ac.uk/radar/items/1448bda3-d528-4ca4-8ae4-03d5855f202c/1/
https://radar.brookes.ac.uk/radar/items/1448bda3-d528-4ca4-8ae4-03d5855f202c/1/
Autor:
Katerina Kosta
Publikováno v:
Sustainable Development Research at Universities in the United Kingdom ISBN: 9783319478821
Sustainability policies are an important tool for mainstreaming Sustainability in Higher Education (SHE) as they entail management level commitments. In 2013, following government request, all UK universities have an (environmental) sustainability po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::275b703ff15d5da7cb963a9878e5e31a
https://doi.org/10.1007/978-3-319-47883-8_15
https://doi.org/10.1007/978-3-319-47883-8_15
Autor:
Katerina Kosta, Shengchen Li
Publikováno v:
Computer Music Journal. 38:78-80
Publikováno v:
Mathematics and Computation in Music ISBN: 9783319206028
MCM
MCM
This study proposes a novel application of change-point techniques to the question of how dynamic markings in a score correspond to performed loudness. We apply and compare two change-point algorithms–Killick, Fearnhead, and Eckley’s Pruned Exact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1ac208b5b8ff1117f2bc8eb562fec85
https://doi.org/10.1007/978-3-319-20603-5_18
https://doi.org/10.1007/978-3-319-20603-5_18