Maarten Grachten

According to our database1, Maarten Grachten authored at least 55 papers between 2003 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Bass Accompaniment Generation via Latent Diffusion.
CoRR, 2024

2023
Music Visualisation and Its Short-Term Effect on Appraisal Skills.
Proceedings of the HCI International 2023 - Late Breaking Papers, 2023

2022
On the Development and Practice of AI Technology for Contemporary Popular Music Production.
Trans. Int. Soc. Music. Inf. Retr., 2022

"Melatonin": A Case Study on AI-induced Musical Style.
CoRR, 2022

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

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

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

2019
High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction.
Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

Auto-adaptive Resonance Equalization using Dilated Residual Networks.
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

Learning Transposition-Invariant Interval Features from Symbolic Music and Audio.
CoRR, 2018

Learning Interval Representations from Polyphonic Music Sequences.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

A Predictive Model for Music based on Learned Interval Representations.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 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

Learning Musical Relations using Gated Autoencoders.
CoRR, 2017

Improving Content-Invariance in Gated Autoencoders for 2D and 3D Object Rotation.
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
Imposing higher-level Structure in Polyphonic Music Generation using Convolutional Restricted Boltzmann Machines and Constraints.
CoRR, 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

Classical Music on the Web - User Interfaces and Data Representations.
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

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

Artificial Intelligence in the Concertgebouw.
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
An Assessment of Learned Score Features for Modeling Expressive Dynamics in Music.
IEEE Trans. Multim., 2014

Predicting Expressive Dynamics in Piano Performances using Neural Networks.
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

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

Unsupervised learning and refinement of rhythmic patterns for beat and downbeat tracking.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Automatic Alignment of Music Performances with Structural Differences.
Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013

Expressive Performance Rendering with Probabilistic Models.
Proceedings of the Guide to Computing for Expressive Music Performance, 2013

2012
Toward E-Motion-Based Music Retrieval a Study of Affective Gesture Recognition.
IEEE Trans. Affect. Comput., 2012

2010
Evidence for Pianist-specific Rubato Style in Chopin Nocturnes.
Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

2009
YQX Plays Chopin.
AI Mag., 2009

Who Is Who in the End? Recognizing Pianists by Their Final Ritardandi.
Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009

The ISMIR Cloud: A Decade of ISMIR Conferences at Your Fingertips.
Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009

2007
Playing with Cases: Tempo Transformations of Jazz Performances Using Case-Based Reasoning.
Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007

2006
Expressivity-aware tempo transformations of music performances using case based reasoning.
PhD thesis, 2006

A case based approach to expressivity-aware tempo transformation.
Mach. Learn., 2006

Expressivity-Preserving Tempo Transformation for Music - A Case-Based Approach.
Proceedings of the KI 2006: Advances in Artificial Intelligence, 2006

Evolving Performance Models by Performance Similarity: Beyond Note-to-note Transformations.
Proceedings of the ISMIR 2006, 2006

TempoExpress: An Expressivity-Preserving Musical Tempo Transformation System.
Proceedings of the Proceedings, 2006

2005
Navigating Through Case Base Competence.
Proceedings of the Case-Based Reasoning, 2005

2004
Melodic Similarity: Looking for a Good Abstraction Level.
Proceedings of the ISMIR 2004, 2004

TempoExpress, a CBR Approach to Musical Tempo Transformations.
Proceedings of the Advances in Case-Based Reasoning, 7th European Conference, 2004

Using the Implication/Realization Model for Measuring Melodic Similarity.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

Evolutionary Optimization of Music Performance Annotation.
Proceedings of the Computer Music Modeling and Retrieval: Second International Symposium, 2004

2003
Extracting Performers' Behaviors to Annotate Cases in a CBR System for Musical Tempo Transformations.
Proceedings of the Case-Based Reasoning Research and Development, 2003


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