Suivre
Katerina Kosta
Katerina Kosta
ByteDance - Queen Mary University of London, Centre for Digital Music
Adresse e-mail validée de bytedance.com - Page d'accueil
Titre
Citée par
Citée par
Année
StructureNet: Inducing Structure in Generated Melodies.
G Medeot, S Cherla, K Kosta, M McVicar, S Abdallah, M Selvi, ...
ISMIR, 725-731, 2018
382018
Mapping between dynamic markings and performed loudness: a machine learning approach
K Kosta, R Ramírez, OF Bandtlow, E Chew
Journal of Mathematics and Music 10 (2), 149-172, 2016
272016
A Study of Cultural Dependence of Perceived Mood in Greek Music.
K Kosta, Y Song, G Fazekas, MB Sandler
ISMIR, 317-322, 2013
262013
Mazurkabl: score-aligned loudness, beat, expressive markings data for 2000 chopin mazurka recordings
K Kosta, OF Bandtlow, E Chew
Proceedings of the fourth International Conference on Technologies for Music …, 2018
232018
Practical implications of dynamic markings in the score: is piano always piano?
K Kosta, OF Bandtlow, E Chew
Audio Engineering Society Conference: 53rd International Conference …, 2014
162014
Dynamics and relativity: Practical implications of dynamic markings in the score
K Kosta, OF Bandtlow, E Chew
Journal of New Music Research 47 (5), 438-461, 2018
152018
A change-point approach towards representing musical dynamics
K Kosta, OF Bandtlow, E Chew
International Conference on Mathematics and Computation in Music, 179-184, 2015
122015
A deep learning method for enforcing coherence in Automatic Chord Recognition.
G Micchi, K Kosta, G Medeot, P Chanquion
ISMIR, 443-451, 2021
112021
Unsupervised Chord-Sequence Generation from an Audio Example.
K Kosta, M Marchini, H Purwins
ISMIR, 481-486, 2012
102012
Modeling the Rhythm from Lyrics for Melody Generation of Pop Song
D Zhang, JC Wang, K Kosta, JBL Smith, S Zhou
arXiv preprint arXiv:2301.01361, 2023
32023
Computational modelling and quantitative analysis of dynamics in performed music
K Kosta
Queen Mary University of London, 2017
32017
Dynamic change points in music audio capture dynamic markings in score
K Kosta, R Killick, OF Bandtlow, E Chew
Proceedings of the 2017 18th International Society for Music Information …, 2017
32017
StemGen: A music generation model that listens
JD Parker, J Spijkervet, K Kosta, F Yesiler, B Kuznetsov, JC Wang, ...
arXiv preprint arXiv:2312.08723, 2023
22023
A deep learning method for melody extraction from a polyphonic symbolic music representation.
K Kosta, WT Lu, G Medeot, P Chanquion
ISMIR, 757-763, 2022
12022
Method of generating music data
G Medeot, S Cherla, K Kosta, M MCViCAR, S Abdallah, M Selvi, ...
US Patent 11,887,566, 2024
2024
Predicting loudness changes and classifying dynamic markings in Mazurka piano recordings
K Kosta, R Ramirez, OF Bandtlow, E Chew, S Giraldo
MML 2015, 22, 2015
2015
2013 performance studies network international conference
K Kosta, S Li
Computer Music Journal 38 (2), 78-80, 2014
2014
Unsupervised Generation of Chord Sequences from a Sound Example
K Kosta
2011
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–18