Carlos Eduardo Cancino Chacón

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 22

Top Topics

Convolutional Neural Networks

Predictive Model

Top Venues

Discovery Science

Publications

Carlos Eduardo Cancino Chacón, Ivan Pilkov
The Rach3 Dataset: Towards Data-Driven Analysis of Piano Performance Rehearsal. MMM (5) (2024)
Silvan David Peter, Carlos Eduardo Cancino Chacón, Emmanouil Karystinaios, Gerhard Widmer
Sounding Out Reconstruction Error-Based Evaluation of Generative Models of Expressive Performance. CoRR (2024)
Silvan David Peter, Shreyan Chowdhury, Carlos Eduardo Cancino Chacón, Gerhard Widmer
Are we describing the same sound? An analysis of word embedding spaces of expressive piano performance. CoRR (2024)
Silvan David Peter, Carlos Eduardo Cancino Chacón, Emmanouil Karystinaios, Gerhard Widmer
Sounding Out Reconstruction Error-Based Evaluation of Generative Models of Expressive Performance. DLfM (2023)
Huan Zhang, Emmanouil Karystinaios, Simon Dixon, Gerhard Widmer, Carlos Eduardo Cancino Chacón
Symbolic Music Representations for Classification Tasks: A Systematic Evaluation. ISMIR (2023)
Silvan David Peter, Carlos Eduardo Cancino Chacón, Francesco Foscarin, Andrew McLeod, Florian Henkel, Emmanouil Karystinaios, Gerhard Widmer
Automatic Note-Level Score-to-Performance Alignments in the ASAP Dataset. Trans. Int. Soc. Music. Inf. Retr. 6 (1) (2023)
Silvan David Peter, Shreyan Chowdhury, Carlos Eduardo Cancino Chacón, Gerhard Widmer
Are we describing the same sound? An analysis of word embedding spaces of expressive piano performance. FIRE (2023)
Huan Zhang, Emmanouil Karystinaios, Simon Dixon, Gerhard Widmer, Carlos Eduardo Cancino Chacón
Symbolic Music Representations for Classification Tasks: A Systematic Evaluation. CoRR (2023)
Carlos Eduardo Cancino Chacón, Silvan Peter, Shreyan Chowdhury, Anna Aljanaki, Gerhard Widmer
On the Characterization of Expressive Performance in Classical Music: First Results of the Con Espressione Game. CoRR (2020)
Carlos Eduardo Cancino Chacón, Silvan Peter, Shreyan Chowdhury, Anna Aljanaki, Gerhard Widmer
On the Characterization of Expressive Performance in Classical Music: First Results of the Con Espressione Game. ISMIR (2020)
Federico Simonetta, Carlos Eduardo Cancino Chacón, Stavros Ntalampiras, Gerhard Widmer
A Convolutional Approach to Melody Line Identification in Symbolic Scores. ISMIR (2019)
Federico Simonetta, Carlos Eduardo Cancino Chacón, Stavros Ntalampiras, Gerhard Widmer
A Convolutional Approach to Melody Line Identification in Symbolic Scores. CoRR (2019)
Carlos Eduardo Cancino Chacón, Maarten Grachten, Werner Goebl, Gerhard Widmer
Computational Models of Expressive Music Performance: A Comprehensive and Critical Review. Frontiers Digit. Humanit. 5 (2018)
Maarten Grachten, Carlos Eduardo Cancino Chacón, Thassilo Gadermaier, Gerhard Widmer
Toward Computer-Assisted Understanding of Dynamics in Symphonic Music. IEEE Multim. 24 (1) (2017)
Carlos Eduardo Cancino Chacón, Thassilo Gadermaier, Gerhard Widmer, Maarten Grachten
An evaluation of linear and non-linear models of expressive dynamics in classical piano and symphonic music. Mach. Learn. 106 (6) (2017)
Carlos Eduardo Cancino Chacón, Maarten Grachten, Kat Agres
From Bach to the Beatles: The Simulation of Human Tonal Expectation Using Ecologically-Trained Predictive Models. ISMIR (2017)
Carlos Eduardo Cancino Chacón, Maarten Grachten, Kat Agres
From Bach to the Beatles: The simulation of human tonal expectation using ecologically-trained predictive models. CoRR (2017)
Maarten Grachten, Carlos Eduardo Cancino Chacón
Strategies for Conceptual Change in Convolutional Neural Networks. CoRR (2017)
Carlos Eduardo Cancino Chacón, Maarten Grachten, David R. W. Sears, Gerhard Widmer
What were you expecting? Using Expectancy Features to Predict Expressive Performances of Classical Piano Music. CoRR (2017)
Gissel Velarde, Tillman Weyde, Carlos Eduardo Cancino Chacón, David Meredith, Maarten Grachten
Composer Recognition Based on 2D-Filtered Piano-Rolls. ISMIR (2016)
Thassilo Gadermaier, Maarten Grachten, Carlos Eduardo Cancino Chacón
Basis-Function Modeling of Loudness Variations in Ensemble Performance. CoRR (2016)
Maarten Grachten, Carlos Eduardo Cancino Chacón, Thassilo Gadermaier, Gerhard Widmer
Towards computer-assisted understanding of dynamics in symphonic music. CoRR (2016)
Stefan Lattner, Maarten Grachten, Kat Agres, Carlos Eduardo Cancino Chacón
Probabilistic Segmentation of Musical Sequences Using Restricted Boltzmann Machines. MCM (2015)
Carlos Eduardo Cancino Chacón, Maarten Grachten
An Evaluation of Score Descriptors Combined with Non-linear Models of Expressive Dynamics in Music. Discovery Science (2015)
Stefan Lattner, Carlos Eduardo Cancino Chacón, Maarten Grachten
Pseudo-Supervised Training Improves Unsupervised Melody Segmentation. IJCAI (2015)
Carlos Eduardo Cancino Chacón, Stefan Lattner, Maarten Grachten
Developing Tonal Perception through Unsupervised Learning. ISMIR (2014)
Carlos Eduardo Cancino Chacón, Pejman Mowlaee
Least squares phase estimation of mixed signals. INTERSPEECH (2014)
Sebastian Tschiatschek, Carlos Eduardo Cancino Chacón, Franz Pernkopf
Bounds for Bayesian network classifiers with reduced precision parameters. ICASSP (2013)