Carlos Eduardo Cancino Chacón

Orcid: 0000-0001-5770-7005

According to our database1, Carlos Eduardo Cancino Chacón authored at least 34 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
The Rach3 Dataset: Towards Data-Driven Analysis of Piano Performance Rehearsal.
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

2023
Automatic Note-Level Score-to-Performance Alignments in the ASAP Dataset.
Trans. Int. Soc. Music. Inf. Retr., January, 2023

The ACCompanion: Combining Reactivity, Robustness, and Musical Expressivity in an Automatic Piano Accompanist.
CoRR, 2023

Symbolic Music Representations for Classification Tasks: A Systematic Evaluation.
Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

The ACCompanion: Combining Reactivity, Robustness, and Musical Expressivity in an Automatic Piano Accompanist.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Are we describing the same sound? An analysis of word embedding spaces of expressive piano performance.
Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, 2023

Sounding Out Reconstruction Error-Based Evaluation of Generative Models of Expressive Performance.
Proceedings of the 10th International Conference on Digital Libraries for Musicology, 2023

2022
The match file format: Encoding Alignments between Scores and Performances.
CoRR, 2022

Partitura: A Python Package for Symbolic Music Processing.
CoRR, 2022

Beyond synchronization: Body gestures and gaze direction in duo performance.
CoRR, 2022

partitura: A Python Package for Handling Symbolic Musical Data.
CoRR, 2022

2020
Real-time visualisation of fugue played by a string quartet.
CoRR, 2020

On the Characterization of Expressive Performance in Classical Music: First Results of the Con Espressione Game.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

2019
Moving to Communicate, Moving to Interact: Patterns of Body Motion in Musical Duo Performance.
CoRR, 2019

User Curated Shaping of Expressive Performances.
CoRR, 2019

A Convolutional Approach to Melody Line Identification in Symbolic Scores.
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

2018
Computational Models of Expressive Music Performance: A Comprehensive and Critical Review.
Frontiers Digit. Humanit., 2018

A Computational Study of the Role of Tonal Tension in Expressive Piano Performance.
CoRR, 2018

2017
An evaluation of linear and non-linear models of expressive dynamics in classical piano and symphonic music.
Mach. Learn., 2017

Toward Computer-Assisted Understanding of Dynamics in Symphonic Music.
IEEE Multim., 2017

The ACCompanion v0.1: An Expressive Accompaniment System.
CoRR, 2017

Strategies for Conceptual Change in Convolutional Neural Networks.
CoRR, 2017

What were you expecting? Using Expectancy Features to Predict Expressive Performances of Classical Piano Music.
CoRR, 2017

From Bach to the Beatles: The Simulation of Human Tonal Expectation Using Ecologically-Trained Predictive Models.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

2016
Towards computer-assisted understanding of dynamics in symphonic music.
CoRR, 2016

Basis-Function Modeling of Loudness Variations in Ensemble Performance.
CoRR, 2016

Composer Recognition Based on 2D-Filtered Piano-Rolls.
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

2015
Probabilistic Segmentation of Musical Sequences Using Restricted Boltzmann Machines.
Proceedings of the Mathematics and Computation in Music - 5th International Conference, 2015

Pseudo-Supervised Training Improves Unsupervised Melody Segmentation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

An Evaluation of Score Descriptors Combined with Non-linear Models of Expressive Dynamics in Music.
Proceedings of the Discovery Science - 18th International Conference, 2015

A Computational Approach to Modelling the Perception of Pitch and Tonality in Music.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014
Developing Tonal Perception through Unsupervised Learning.
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Least squares phase estimation of mixed signals.
Proceedings of the INTERSPEECH 2014, 2014

2013
Bounds for Bayesian network classifiers with reduced precision parameters.
Proceedings of the IEEE International Conference on Acoustics, 2013


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