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Stefan Lattner
Stefan Lattner
Sony CSL Paris, Associate Researcher
Bestätigte E-Mail-Adresse bei stefanlattner.at
Titel
Zitiert von
Zitiert von
Jahr
Imposing Higher-Level Structure in Polyphonic Music Generation using Convolutional Restricted Boltzmann Machines and Constraints
S Lattner, M Grachten, G Widmer
Journal of Creative Music Systems 2 (2), 2018
672018
DrumGAN: Synthesis of drum sounds with timbral feature conditioning using Generative Adversarial Networks
J Nistal, S Lattner, G Richard
19th International Society for Music Information Retrieval Conference (ISMIR), 2020
292020
DrumNet: High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction
S Lattner, M Grachten
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics …, 2019
17*2019
Audio-to-Score Alignment using Transposition-Invariant Features
A Arzt, S Lattner
19th International Society for Music Information Retrieval Conference (ISMIR …, 2018
172018
Comparing representations for audio synthesis using generative adversarial networks
J Nistal, S Lattner, G Richard
27th European Signal Processing Conference (EUSIPCO) 2019, 2020
142020
A Predictive Model for Music Based on Learned Interval Representations
S Lattner, M Grachten, G Widmer
19th International Society for Music Information Retrieval Conference (ISMIR …, 2018
122018
Probabilistic Segmentation of Musical Sequences Using Restricted Boltzmann Machines
S Lattner, M Grachten, K Agres, CEC Chacón
International Conference on Mathematics and Computation in Music, 323-334, 2015
122015
Learning Transposition-Invariant Interval Features from Symbolic Music and Audio
S Lattner, M Grachten, G Widmer
19th International Society for Music Information Retrieval Conference (ISMIR …, 2018
112018
Learning Transformations of Musical Material using Gated Autoencoders
S Lattner, M Grachten, G Widmer
Proceedings of the 2nd conference on computer simulation of musical …, 2017
9*2017
Hierarchical temporal memory-investigations, ideas, and experiments
S Lattner
Linz: Johannes Kepler Universität, Linz, Austria, 2014
92014
Developing Tonal Perception through Unsupervised Learning
CEC Chacón, S Lattner, M Grachten
ISMIR 2014, 195-200, 2014
82014
Learning Complex Basis Functions for Invariant Representations of Audio
S Lattner, M Dörfler, A Arzt
20th International Society for Music Information Retrieval Conference (ISMIR …, 2019
72019
Bassnet: A variational gated autoencoder for conditional generation of bass guitar tracks with learned interactive control
M Grachten, S Lattner, E Deruty
Applied Sciences 10 (18), 6627, 2020
42020
Harmonics co-occurrences bootstrap pitch and tonality perception in music: Evidence from a statistical unsupervised learning model
K Agres, C Cancino, M Grachten, S Lattner
Proceedings of the Cognitive Science Society, 2015
42015
Stochastic Restoration of Heavily Compressed Musical Audio Using Generative Adversarial Networks
S Lattner, J Nistal
Electronics 10 (11), 1349, 2021
32021
Pseudo-supervised training improves unsupervised melody segmentation
S Lattner, CEC Chacón, M Grachten
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
32015
DarkGAN: Exploiting Knowledge Distillation for Comprehensible Audio Synthesis with GANs
J Nistal, S Lattner, G Richard
Proceedings of the 22nd International Society for Music Information …, 2021
22021
VQCPC-GAN: Variable-length Adversarial Audio Synthesis using Vector-Quantized Contrastive Predictive Coding
J Nistal, C Aouameur, S Lattner, G Richard
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics …, 2021
22021
Improving content-invariance in gated autoencoders for 2d and 3d object rotation
S Lattner, M Grachten
arXiv preprint arXiv:1707.01357, 2017
22017
Modeling Musical Structure with Artificial Neural Networks
S Lattner
PhD thesis, Johannes Kepler University, Linz, 2019
12019
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