Підписатись
Stefan Lattner
Stefan Lattner
Sony CSL Paris (Music Team)
Підтверджена електронна адреса в stefanlattner.at
Назва
Посилання
Посилання
Рік
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
902018
DrumGAN: Synthesis of drum sounds with timbral feature conditioning using Generative Adversarial Networks
JN Hurle, S Lattner, G Richard
21 st International Society for Music Information Retrieval Conference (ISMIR), 2020
88*2020
On the development and practice of ai technology for contemporary popular music production
E Deruty, M Grachten, S Lattner, J Nistal, C Aouameur
Transactions of the International Society for Music Information Retrieval 5 (1), 2022
542022
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
39*2019
Comparing representations for audio synthesis using generative adversarial networks
J Nistal, S Lattner, G Richard
27th European Signal Processing Conference (EUSIPCO) 2019, 2020
372020
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
222020
Audio-to-Score Alignment using Transposition-Invariant Features
A Arzt, S Lattner
19th International Society for Music Information Retrieval Conference (ISMIR …, 2018
212018
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
172018
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
172015
Stochastic restoration of heavily compressed musical audio using generative adversarial networks
S Lattner, J Nistal
Electronics 10 (11), 1349, 2021
152021
Pesto: Pitch estimation with self-supervised transposition-equivariant objective
A Riou, S Lattner, G Hadjeres, G Peeters
arXiv preprint arXiv:2309.02265, 2023
142023
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
132019
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
132018
Diff-a-riff: Musical accompaniment co-creation via latent diffusion models
J Nistal, M Pasini, C Aouameur, M Grachten, S Lattner
arXiv preprint arXiv:2406.08384, 2024
122024
Developing Tonal Perception through Unsupervised Learning
CEC Chacón, S Lattner, M Grachten
ISMIR 2014, 195-200, 2014
122014
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
112021
Bass Accompaniment Generation via Latent Diffusion
M Pasini, M Grachten, S Lattner
IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2024
102024
Hierarchical temporal memory-investigations, ideas, and experiments
S Lattner
Johannes Kepler Universität, Linz, Austria, 2014
102014
Singer identity representation learning using self-supervised techniques
B Torres, S Lattner, G Richard
International Society for Music Information Retrieval Conference (ISMIR 2023), 2023
92023
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
92021
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