| Mesostructures: Beyond spectrogram loss in differentiable time-frequency analysis C Vahidi, H Han, C Wang, M Lagrange, G Fazekas, V Lostanlen arXiv preprint arXiv:2301.10183, 2023 | 9 | 2023 |
| Differentiable Time-Frequency Scattering On GPU J Muradeli, C Vahidi, C Wang, H Han, V Lostanlen, M Lagrange, ... arXiv preprint arXiv:2204.08269, 2022 | 9* | 2022 |
| Timbre space representation of a subtractive synthesizer C Vahidi, G Fazekas, C Saitis, A Palladini arXiv preprint arXiv:2009.11706, 2020 | 8 | 2020 |
| A modulation front-end for music audio tagging C Vahidi, C Saitis, G Fazekas 2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021 | 4 | 2021 |
| Kymatio: Deep Learning meets Wavelet Theory for Music Signal Processing C Vahidi, C Mitcheltree, V Lostanlen | | 2023 |
| Perceptual musical similarity metric learning with graph neural networks C Vahidi, S Singh, E Benetos, H Phan, D Stowell, G Fazekas, M Lagrange 2023 IEEE Workshop on Applications of Signal Processing to Audio and …, 2023 | | 2023 |
| AI (r) evolution--where are we heading? Thoughts about the future of music and sound technologies in the era of deep learning G Bindi, N Demerlé, R Diaz, D Genova, A Golvet, B Hayes, J Huang, L Liu, ... arXiv preprint arXiv:2310.18320, 2023 | | 2023 |
| Hearing from within a sound: A series of techniques for deconstructing and spatialising timbre L Wolstanholme, C Vahidi, A McPherson Audio Engineering Society Conference: AES 2023 International Conference on …, 2023 | | 2023 |
| Differentiable Time-Frequency Scattering in Kymatio C Vahidi, J Muradeli, C Wang, H Han, V Lostanlen, M Lagrange, ... | | 2023 |
| NASH: the Neural Audio Synthesis Hackathon B Hayes, C Vahidi, C Saitis | | |
George FazekasQueen Mary University of LondonVerified email at qmul.ac.uk
