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High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction

Aug 02, 2019
Stefan Lattner, Maarten Grachten

* Paper accepted at the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2019), New Paltz, New York, U.S.A., October 20-23; 6 pages, 3 figures, 1 table 

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Auto-adaptive Resonance Equalization using Dilated Residual Networks

Jul 23, 2018
Maarten Grachten, Emmanuel Deruty, Alexandre Tanguy


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A Predictive Model for Music Based on Learned Interval Representations

Jun 22, 2018
Stefan Lattner, Maarten Grachten, Gerhard Widmer

* Paper accepted at the 19th International Society for Music Information Retrieval Conference, ISMIR 2018, Paris, France, September 23-27; 8 pages, 3 figures 

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Learning Transposition-Invariant Interval Features from Symbolic Music and Audio

Jun 21, 2018
Stefan Lattner, Maarten Grachten, Gerhard Widmer

* Paper accepted at the 19th International Society for Music Information Retrieval Conference, ISMIR 2018, Paris, France, September 23-27; 8 pages, 5 figures 

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Imposing higher-level Structure in Polyphonic Music Generation using Convolutional Restricted Boltzmann Machines and Constraints

Apr 14, 2018
Stefan Lattner, Maarten Grachten, Gerhard Widmer

* Journal of Creative Music Systems, Volume 2, Issue 1, March 2018 
* 31 pages, 11 figures 

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Strategies for Conceptual Change in Convolutional Neural Networks

Nov 05, 2017
Maarten Grachten, Carlos Eduardo Cancino Chac贸n


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

Sep 11, 2017
Carlos Cancino-Chac贸n, Maarten Grachten, David R. W. Sears, Gerhard Widmer

* 6 pages, 1 figure, 10th International Workshop on Machine Learning and Music (MML 2017) 

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Learning Musical Relations using Gated Autoencoders

Aug 17, 2017
Stefan Lattner, Maarten Grachten, Gerhard Widmer

* In Proceedings of the 2nd Conference on Computer Simulation of Musical Creativity (CSMC 2017) 

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From Bach to the Beatles: The simulation of human tonal expectation using ecologically-trained predictive models

Jul 19, 2017
Carlos Cancino-Chac贸n, Maarten Grachten, Kat Agres

* In Proceedings of the 18th International Society of Music Information Retrieval Conference (ISMIR 2017) 

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Improving Content-Invariance in Gated Autoencoders for 2D and 3D Object Rotation

Jul 05, 2017
Stefan Lattner, Maarten Grachten

* 10 pages 

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