AI (r)evolution -- where are we heading? Thoughts about the future of music and sound technologies in the era of deep learning

no code implementations • 20 Sep 2023 • 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

The students represent the future generation of AI and music researchers.

Mesostructures: Beyond Spectrogram Loss in Differentiable Time-Frequency Analysis

1 code implementation • 24 Jan 2023 • Cyrus Vahidi, Han Han, Changhong Wang, Mathieu Lagrange, György Fazekas, Vincent Lostanlen

Computer musicians refer to mesostructures as the intermediate levels of articulation between the microstructure of waveshapes and the macrostructure of musical forms.

Differentiable Time-Frequency Scattering on GPU

3 code implementations • 18 Apr 2022 • John Muradeli, Cyrus Vahidi, Changhong Wang, Han Han, Vincent Lostanlen, Mathieu Lagrange, George Fazekas

Joint time-frequency scattering (JTFS) is a convolutional operator in the time-frequency domain which extracts spectrotemporal modulations at various rates and scales.

Audio Generation Resynthesis

A Modulation Front-End for Music Audio Tagging

1 code implementation • 25 May 2021 • Cyrus Vahidi, Charalampos Saitis, György Fazekas

Modulation filter bank representations that have been actively researched as a basis for timbre perception have the potential to facilitate the extraction of perceptually salient features.

Audio Tagging Music Tagging +1