Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Hendrik Vincent Koops"'
Publikováno v:
Transactions of the International Society for Music Information Retrieval, Vol 5, Iss 1 (2022)
This special issue focuses on research developments and critical thought in the domain of artificial intelligence (AI) applied to modeling and creating music. It is motivated by the AI Song Contests of 2020 and 2021, in which the four guest editors a
Externí odkaz:
https://doaj.org/article/f7d5d9a385964fc8bef627f3faf21c91
Publikováno v:
Transactions of the International Society for Music Information Retrieval, Vol 4, Iss 1 (2021)
In 2020, inspired by the expectation that Rotterdam would host the Eurovision Song Contest, the Dutch public broadcaster VPRO sponsored an international AI Song Contest. The winner was determined by combining an online public vote, which attracted 38
Externí odkaz:
https://doaj.org/article/fa6bbdc2a1bf43e2824a7555f9a7690b
Publikováno v:
Transactions of the International Society for Music Information Retrieval, Vol 4, Iss 1 (2021)
Automatic Chord Estimation (ACE) is a fundamental task in Music Information Retrieval (MIR) and has applications in both music performance and MIR research. The task consists of segmenting a music recording or score and assigning a chord label to eac
Externí odkaz:
https://doaj.org/article/11b01e951fec405bae09113eb1b414c2
Publikováno v:
Transactions Int. Soc. Music Information Retrieval
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::15990ab86bf3984da96519d788e6a57a
Autor:
Anja Volk, Jeroen Bransen, John Ashley Burgoyne, Hendrik Vincent Koops, Anna Kent-Muller, W. Bas de Haas
Publikováno v:
Journal of New Music Research, 48(3), 232-252. Taylor and Francis Ltd.
Reference annotation datasets containing harmony annotations are at the core of a wide range of studies in music information retrieval (MIR) and related fields. The majority of these datasets contain single reference annotations describing the harmon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8100ce883e3cd74cf94e04a5ca2b484c
https://doi.org/10.1080/09298215.2019.1613436
https://doi.org/10.1080/09298215.2019.1613436
Publikováno v:
MFI
Improving trust in the state of Cyber-Physical Systems becomes increasingly important as more Cyber-Physical Systems tasks become autonomous. Research into the sound of Cyber-Physical Systems has shown that audio side-channel information from a singl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7456e0305c52c398f1845acea8f8d50
https://doi.org/10.1109/mfi.2017.8170401
https://doi.org/10.1109/mfi.2017.8170401
[TODO] Add abstract here.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07e3083d7c95424e8a4dcd4df3c406d2
Publikováno v:
DSP
This paper presents a machine learning system that is capable of predicting the speed and gear position of a moving vehicle from the sound it makes. While audio classification is widely used in other research areas such as music information retrieval
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07ef20fcf1736938c62eb054cadd7843
https://doi.org/10.1109/icdsp.2015.7251906
https://doi.org/10.1109/icdsp.2015.7251906
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319240268
CLEF
CLEF
We present a study on automatic birdsong recognition with deep neural networks using the birdclef2014 dataset. Through deep learning, feature hierarchies are learned that represent the data on several levels of abstraction. Deep learning has been app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::753bc79cc00c2d5f89bb3ee7ecf61e7c
https://doi.org/10.1007/978-3-319-24027-5_26
https://doi.org/10.1007/978-3-319-24027-5_26
Publikováno v:
FARM@ICFP
Melody harmonisation is a centuries-old problem of long tradition, and a core aspect of composition in Western tonal music. In this work we describe FHarm, an automated system for melody harmonisation based on a functional model of harmony. Our syste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5fd6184dc28012b3360474f573a2f12
http://ora.ox.ac.uk/objects/uuid:b6c29541-de3e-4db0-9f7b-87a8d78ed9ed
http://ora.ox.ac.uk/objects/uuid:b6c29541-de3e-4db0-9f7b-87a8d78ed9ed