| Combining audio control and style transfer using latent diffusion N Demerlé, P Esling, G Doras, D Genova arXiv preprint arXiv:2408.00196, 2024 | | 2024 |
| Embodied exploration of deep latent spaces in interactive dance-music performance S Nabi, P Esling, G Peeters, F Bevilacqua Proceedings of the 9th International Conference on Movement and Computing, 1-9, 2024 | | 2024 |
| Is Quality Enoughƒ Integrating Energy Consumption in a Large-Scale Evaluation of Neural Audio Synthesis Models C Douwes, G Bindi, A Caillon, P Esling, JP Briot ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 5 | 2023 |
| Continuous descriptor-based control for deep audio synthesis N Devis, N Demerlé, S Nabi, D Genova, P Esling ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 8 | 2023 |
| Dynamic Computer-Aided Orchestration in Practice with Orchidea CE Cella, D Ghisi, Y Maresz, A Petrolati, A Teiller, P Esling Computer Music Journal 45 (4), 40-56, 2023 | 1 | 2023 |
| Singsong: Generating musical accompaniments from singing C Donahue, A Caillon, A Roberts, E Manilow, P Esling, A Agostinelli, ... arXiv preprint arXiv:2301.12662, 2023 | 41 | 2023 |
| Challenges in creative generative models for music: a divergence maximization perspective P Esling arXiv preprint arXiv:2211.08856, 2022 | 1 | 2022 |
| Creative divergent synthesis with generative models P Esling arXiv preprint arXiv:2211.08861, 2022 | | 2022 |
| Hear: Holistic evaluation of audio representations J Turian, J Shier, HR Khan, B Raj, BW Schuller, CJ Steinmetz, C Malloy, ... NeurIPS 2021 Competitions and Demonstrations Track, 125-145, 2022 | 94 | 2022 |
| Streamable neural audio synthesis with non-causal convolutions A Caillon, P Esling arXiv preprint arXiv:2204.07064, 2022 | 12 | 2022 |
| Effect Modeling N Devis, P Esling | | 2021 |
| RAVE: A variational autoencoder for fast and high-quality neural audio synthesis A Caillon, P Esling arXiv preprint arXiv:2111.05011, 2021 | 116 | 2021 |
| Combining real-time extraction and prediction of musical chord progressions for creative applications T Carsault, J Nika, P Esling, G Assayag Electronics 10 (21), 2634, 2021 | 11 | 2021 |
| Signal-domain representation of symbolic music for learning embedding spaces M Prang, P Esling arXiv preprint arXiv:2109.03454, 2021 | 6 | 2021 |
| A multi-objective approach for sustainable generative audio models C Douwes, P Esling, JP Briot | 2 | 2021 |
| Energy consumption of deep generative audio models C Douwes, P Esling, JP Briot arXiv preprint arXiv:2107.02621, 2021 | 13 | 2021 |
| Spectrogram inpainting for interactive generation of instrument sounds T Bazin, G Hadjeres, P Esling, M Malt arXiv preprint arXiv:2104.07519, 2021 | 14 | 2021 |
| FlowSynth: simplifying complex audio generation through explorable latent spaces with normalizing flows P Esling, N Masuda, A Chemla-Romeu-Santos Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 7 | 2021 |
| Neurorack: deep audio learning in hardware synthesizers N Devis, P Esling EPFL PhD Seminar “Human factors in Digital Humanities”, 2021 | 1 | 2021 |
| Représentations variationnelles inversibles: une nouvelle approche pour la synthèse sonore A Chemla-Romeu-Santos, P Esling, S Ntalampiras Journées d'Informatique Musicale 2020 (JIM 2020), 2020 | | 2020 |
