Cyrus Vahidi

According to our database, Cyrus Vahidi authored at least 6 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

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

CoRR, 2023

Mesostructures: Beyond Spectrogram Loss in Differentiable Time-Frequency Analysis.

Cyrus Vahidi, Han Han, Changhong Wang, Mathieu Lagrange, György Fazekas, Vincent Lostanlen

CoRR, 2023

Perceptual Musical Similarity Metric Learning with Graph Neural Networks.

Cyrus Vahidi, Shubhr Singh, Emmanouil Benetos, Huy Phan, Dan Stowell, György Fazekas, Mathieu Lagrange

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

2022

Differentiable Time-Frequency Scattering in Kymatio.

John Muradeli, Cyrus Vahidi, Changhong Wang, Han Han, Vincent Lostanlen, Mathieu Lagrange, George Fazekas

CoRR, 2022

2021

A Modulation Front-End for Music Audio Tagging.

Cyrus Vahidi, Charalampos Saitis, György Fazekas

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Timbre Space Representation of a Subtractive Synthesizer.

Cyrus Vahidi, George Fazekas, Charalampos Saitis, Alessandro Palladini

CoRR, 2020