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Modeling Musical Structure with Artificial Neural Networks

Jan 06, 2020
Stefan Lattner

* 152 pages, 28 figures, 10 tables. PhD thesis, Johannes Kepler University Linz, October 2019. Includes results from https://www.ijcai.org/Proceedings/15/Papers/348.pdf, arXiv:1612.04742, arXiv:1708.05325, arXiv:1806.08236, and arXiv:1806.08686 (see Section 1.2 for detailed information) 

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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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Learning Complex Basis Functions for Invariant Representations of Audio

Jul 13, 2019
Stefan Lattner, Monika Dörfler, Andreas Arzt

* Paper accepted at the 20th International Society for Music Information Retrieval Conference, ISMIR 2019, Delft, The Netherlands, November 4-8; 8 pages, 4 figures, 4 tables 

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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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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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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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