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Carlos Eduardo Cancino-Chacón
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Computational models of expressive music performance: A comprehensive and critical review
CE Cancino-Chacón, M Grachten, W Goebl, G Widmer
Frontiers in Digital Humanities 5, 25, 2018
632018
An evaluation of linear and non-linear models of expressive dynamics in classical piano and symphonic music
CE Cancino-Chacón, T Gadermaier, G Widmer, M Grachten
Machine Learning 106, 887-909, 2017
522017
Moving to communicate, moving to interact: Patterns of body motion in musical duo performance
L Bishop, C Cancino-Chacón, W Goebl
Music Perception: An Interdisciplinary Journal 37 (1), 1-25, 2019
502019
Eye gaze as a means of giving and seeking information during musical interaction
L Bishop, C Cancino-Chacón, W Goebl
Consciousness and cognition 68, 73-96, 2019
332019
Composer recognition based on 2d-filtered piano-rolls
G Velarde, T Weyde, CC Chacón, D Meredith, M Grachten
International Society for Music Information Retrieval Conference, 115-121, 2016
242016
A convolutional approach to melody line identification in symbolic scores
F Simonetta, C Cancino-Chacón, S Ntalampiras, G Widmer
arXiv preprint arXiv:1906.10547, 2019
202019
Convolution-based classification of audio and symbolic representations of music
G Velarde, C Cancino Chacón, D Meredith, T Weyde, M Grachten
Journal of New Music Research 47 (3), 191-205, 2018
192018
Probabilistic Segmentation of Musical Sequences using Restricted Boltzmann Machines
S Lattner, M Grachten, K Agres, CE Cancino Chacón
Mathematics and Computation in Music, 323-334, 2015
172015
An evaluation of score descriptors combined with non-linear models of expressive dynamics in music
CE Cancino Chacón, M Grachten
International Conference on Discovery Science, 48-62, 2015
162015
Partitura: A python package for symbolic music processing
C Cancino-Chacón, SD Peter, E Karystinaios, F Foscarin, M Grachten, ...
arXiv preprint arXiv:2206.01071, 2022
152022
THE BASIS MIXER: A COMPUTATIONAL ROMANTIC PIANIST
CE Cancino Chacón, M Grachten
14*
Computational Modeling of Expressive Music Performance with Linear and Non-linear Basis Function Models
CE Cancino-Chacón
Johannes Kepler University Linz, 2018
122018
Strategies for Conceptual Change in Convolutional Neural Networks
M Grachten, CE Cancino Chacón
122015
Least squares phase estimation of mixed signals.
CE Cancino Chacón, P Mowlaee
INTERSPEECH, 2705-2709, 2014
122014
Temporal dependencies in the expressive timing of classical piano performances
M Grachten, CEC Chacón
The routledge companion to embodied music interaction, 360-369, 2017
112017
Toward computer-assisted understanding of dynamics in symphonic music
M Grachten, CE Cancino-Chacón, T Gadermaier, G Widmer
IEEE MultiMedia 24 (1), 36-46, 2017
112017
Developing Tonal Perception through Unsupervised Learning.
CE Cancino Chacón, S Lattner, M Grachten
ISMIR, 195-200, 2014
112014
The match file format: Encoding Alignments between Scores and Performances
F Foscarin, E Karystinaios, SD Peter, C Cancino-Chacón, M Grachten, ...
arXiv preprint arXiv:2206.01104, 2022
102022
The ACCompanion v0. 1: An expressive accompaniment system
C Cancino-Chacón, M Bonev, A Durand, M Grachten, A Arzt, L Bishop, ...
arXiv preprint arXiv:1711.02427, 2017
102017
On the characterization of expressive performance in classical music: First results of the con espressione game
C Cancino-Chacón, S Peter, S Chowdhury, A Aljanaki, G Widmer
arXiv preprint arXiv:2008.02194, 2020
82020
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Artikler 1–20