| librosa/librosa: 0.8. 0 B McFee, V Lostanlen, A Metsai, M McVicar, S Balke, C Thomé, C Raffel, ... Version 0.8. 0, Zenodo, doi 10, 2020 | 385* | 2020 |
| The control-synthesis approach for making expressive and controllable neural music synthesizers Nicolas Jonason, Bob Sturm, Carl Thomé Proceedings of the 2020 AI Music Creativity Conference, 2020, 2020 | 19* | 2020 |
| Polyphonic Pitch Detection with Convolutional Recurrent Neural Networks C Thomé, S Ahlbäck MIREX, 2017 | 16* | 2017 |
| Musical Audio Similarity with Self-supervised Convolutional Neural Networks C Thomé, S Piwell, O Utterbäck ISMIR LBD, 2021 | 10 | 2021 |
| LibROSA/LibROSA: 0.7. 2. 2020 B McFee, V Lostanlen, M McVicar, A Metsai, S Balke, C Thomé, C Raffel, ... | 5 | |
| Retrieval Augmented Generation of Symbolic Music with LLMs N Jonason, L Casini, C Thomé, BLT Sturm arXiv preprint arXiv:2311.10384, 2023 | 3 | 2023 |
| Perceiving Music Quality with GANs A Hilmkil, C Thomé, A Arpteg Northern Lights Deep Learning Workshop, 2020 | 3 | 2020 |
| How Musical Instrumentation Affects Perceptual Identification of Musical Genres S Brene, C Thomé | 1 | 2014 |
| VICMus: Variance-Invariance-Covariance Regularization for Music Representation Learning S Löf, C Hesse, C Thomé, C Lordelo, J Ahrens 2024 IEEE International Conference on Acoustics, Speech, and Signal …, 2024 | | 2024 |
| Applying textual inversion to control and personalize text-to-music models by audio reference C Thomé | | 2024 |
| Applying textual inversion to control and personalize text-to-music models C Thomé, B Sturm, J Pertoft, N Jonason Int. Workshop on Machine Learning and Music, 2024 | | 2024 |
| Filtering Video Noise as Audio with Motion Detection to Form a Musical Instrument C Thomé arXiv preprint arXiv:1602.08750, 2016 | | 2016 |
