Giorgio Fabbro

According to our database, Giorgio Fabbro authored at least 9 papers between 2020 and 2023.

Collaborative distances:

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

2023

The Sound Demixing Challenge 2023 - Cinematic Demixing Track.

Stefan Uhlich, Giorgio Fabbro, Masato Hirano, Shusuke Takahashi, Gordon Wichern, Jonathan Le Roux, Dipam Chakraborty, Sharada P. Mohanty, Kai Li, Yi Luo, Jianwei Yu, Rongzhi Gu, Roman A. Solovyev, Alexander L. Stempkovskiy, Tatiana Habruseva, Mikhail Sukhovei, Yuki Mitsufuji

CoRR, 2023

The Sound Demixing Challenge 2023 - Music Demixing Track.

Giorgio Fabbro, Stefan Uhlich, Chieh-Hsin Lai, Woosung Choi, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Igor Gadelha, Geraldo Ramos, Eddie Hsu, Hugo Rodrigues, Fabian-Robert Stöter, Alexandre Défossez, Yi Luo, Jianwei Yu, Dipam Chakraborty, Sharada P. Mohanty, Roman A. Solovyev, Alexander L. Stempkovskiy, Tatiana Habruseva, Nabarun Goswami, Tatsuya Harada, Minseok Kim, Jun Hyung Lee, Yuanliang Dong, Xinran Zhang, Jiafeng Liu, Yuki Mitsufuji

CoRR, 2023

2022

Removing Distortion Effects in Music Using Deep Neural Networks.

Johannes Imort, Giorgio Fabbro, Marco A. Martínez Ramírez, Stefan Uhlich, Yuichiro Koyama, Yuki Mitsufuji

CoRR, 2022

Automatic music mixing with deep learning and out-of-domain data.

Marco A. Martínez Ramírez, Wei-Hsiang Liao, Chihiro Nagashima, Giorgio Fabbro, Stefan Uhlich, Yuki Mitsufuji

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Distortion Audio Effects: Learning How to Recover the Clean Signal.

Johannes Imort, Giorgio Fabbro, Marco A. Martínez Ramírez, Stefan Uhlich, Yuichiro Koyama, Yuki Mitsufuji

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Music Source Separation With Deep Equilibrium Models.

Yuichiro Koyama, Naoki Murata, Stefan Uhlich, Giorgio Fabbro, Shusuke Takahashi, Yuki Mitsufuji

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Music Demixing Challenge at ISMIR 2021.

Yuki Mitsufuji, Giorgio Fabbro, Stefan Uhlich, Fabian-Robert Stöter

CoRR, 2021

Training Speech Enhancement Systems with Noisy Speech Datasets.

Koichi Saito, Stefan Uhlich, Giorgio Fabbro, Yuki Mitsufuji

CoRR, 2021

2020

Speech Synthesis and Control Using Differentiable DSP.

Giorgio Fabbro, Vladimir Golkov, Thomas Kemp, Daniel Cremers

CoRR, 2020