| 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 | 86 | 2018 |
| 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 | 77* | 2020 |
| 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 | 38* | 2019 |
| Comparing representations for audio synthesis using generative adversarial networks J Nistal, S Lattner, G Richard 27th European Signal Processing Conference (EUSIPCO) 2019, 2020 | 34 | 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 …, 2022 | 24 | 2022 |
| Audio-to-Score Alignment using Transposition-Invariant Features A Arzt, S Lattner 19th International Society for Music Information Retrieval Conference (ISMIR …, 2018 | 20 | 2018 |
| 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 | 17 | 2015 |
| 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 | 16 | 2020 |
| 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 | 16 | 2018 |
| 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 | 12 | 2019 |
| 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 | 12 | 2018 |
| Developing Tonal Perception through Unsupervised Learning CEC Chacón, S Lattner, M Grachten ISMIR 2014, 195-200, 2014 | 11 | 2014 |
| 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 | 10 | 2021 |
| Stochastic restoration of heavily compressed musical audio using generative adversarial networks S Lattner, J Nistal Electronics 10 (11), 1349, 2021 | 10 | 2021 |
| Hierarchical temporal memory-investigations, ideas, and experiments S Lattner Johannes Kepler Universität, Linz, Austria, 2014 | 10 | 2014 |
| 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 | 9 | 2021 |
| 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 |
| Pseudo-supervised training improves unsupervised melody segmentation S Lattner, CEC Chacón, M Grachten Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 5 | 2015 |
| 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 | 5 | 2015 |
| Pesto: Pitch estimation with self-supervised transposition-equivariant objective A Riou, S Lattner, G Hadjeres, G Peeters International Society for Music Information Retrieval Conference (ISMIR 2023), 2023 | 4 | 2023 |
Maarten GrachtenIndependent Machine Learning Consultant在 grachten.eu 的电子邮件经过验证
