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Cyrus Vahidi
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2020 – today
- 2023
- [c2]Cyrus Vahidi, Shubhr Singh, Emmanouil Benetos, Huy Phan, Dan Stowell
, György Fazekas, Mathieu Lagrange:
Perceptual Musical Similarity Metric Learning with Graph Neural Networks. WASPAA 2023: 1-5 - [i5]Cyrus Vahidi, Han Han, Changhong Wang, Mathieu Lagrange, György Fazekas, Vincent Lostanlen:
Mesostructures: Beyond Spectrogram Loss in Differentiable Time-Frequency Analysis. CoRR abs/2301.10183 (2023) - [i4]Giovanni Bindi, Nils Demerlé, Rodrigo Diaz, David Genova, Aliénor Golvet, Ben Hayes, Jiawen Huang, Lele Liu, Vincent Martos, Sarah Nabi, Teresa Pelinski, Lenny Renault
, Saurjya Sarkar, Pedro Sarmento, Cyrus Vahidi, Lewis Wolstanholme
, Yixiao Zhang, Axel Roebel, Nick Bryan-Kinns, Jean-Louis Giavitto, Mathieu Barthet
:
AI (r)evolution - where are we heading? Thoughts about the future of music and sound technologies in the era of deep learning. CoRR abs/2310.18320 (2023) - 2022
- [i3]John Muradeli, Cyrus Vahidi, Changhong Wang, Han Han, Vincent Lostanlen, Mathieu Lagrange, George Fazekas:
Differentiable Time-Frequency Scattering in Kymatio. CoRR abs/2204.08269 (2022) - 2021
- [c1]Cyrus Vahidi, Charalampos Saitis, György Fazekas:
A Modulation Front-End for Music Audio Tagging. IJCNN 2021: 1-7 - [i2]Cyrus Vahidi, Charalampos Saitis, György Fazekas:
A Modulation Front-End for Music Audio Tagging. CoRR abs/2105.11836 (2021) - 2020
- [i1]Cyrus Vahidi, George Fazekas, Charalampos Saitis, Alessandro Palladini:
Timbre Space Representation of a Subtractive Synthesizer. CoRR abs/2009.11706 (2020)
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