Speech Synthesis and Control Using Differentiable DSP. - Giorgio Fabbro; Vladimir Golkov; Thomas Kemp; Daniel Cremers (CoRR, 2020)

Training Speech Enhancement Systems with Noisy Speech Datasets. - Koichi Saito; Stefan Uhlich; Giorgio Fabbro; Yuki Mitsufuji (CoRR, 2021)

Music Demixing Challenge at ISMIR 2021. - Yuki Mitsufuji; Giorgio Fabbro; Stefan Uhlich; Fabian-Robert Stöter (CoRR, 2021)

Music Source Separation With Deep Equilibrium Models. - Yuichiro Koyama; Naoki Murata; Stefan Uhlich; Giorgio Fabbro; Shusuke Takahashi; Yuki Mitsufuji (ICASSP, 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 (ISMIR, 2022)

Automatic music mixing with deep learning and out-of-domain data. - Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Chihiro Nagashima; Giorgio Fabbro; Stefan Uhlich; Yuki Mitsufuji (ISMIR, 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)

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 004; Jianwei Yu 001; Rongzhi Gu; et al. (CoRR, 2023)

Searching For Music Mixing Graphs: A Pruning Approach. - Sungho Lee; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Stefan Uhlich; Giorgio Fabbro; Kyogu Lee; Yuki Mitsufuji (CoRR, 2024)

GRAFX: An Open-Source Library for Audio Processing Graphs in PyTorch. - Sungho Lee; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Stefan Uhlich; Giorgio Fabbro; Kyogu Lee; Yuki Mitsufuji (CoRR, 2024)

Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer. - Michele Mancusi; Yurii Halychanskyi; Kin Wai Cheuk; Chieh-Hsin Lai; Stefan Uhlich; Junghyun Koo; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Giorgio Fabbro; Yuki Mitsufuji (CoRR, 2024)

The Sound Demixing Challenge 2023 - Music Demixing Track. - Giorgio Fabbro; Stefan Uhlich; Chieh-Hsin Lai; Woosung Choi; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Igor Gadelha; Geraldo Ramos; Eddie Hsu; Hugo Rodrigues; Fabian-Robert Stöter; Alexandre Défossez; et al. (Trans. Int. Soc. Music. Inf. Retr., 2024)

The Sound Demixing Challenge 2023 - Cinematic Demixing Track. - Stefan Uhlich; Giorgio Fabbro; Masato Hirano; Shusuke Takahashi; Gordon Wichern; Jonathan Le Roux; Dipam Chakraborty; Sharada Mohanty; Kai Li; Yi Luo 004; Jianwei Yu 001; Rongzhi Gu; et al. (Trans. Int. Soc. Music. Inf. Retr., 2024)

COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations. - Ruben Ciranni; Giorgio Mariani; Michele Mancusi; Emilian Postolache; Giorgio Fabbro; Emanuele Rodolà; Luca Cosmo (ICASSP, 2025)

High-Resolution Speech Restoration with Latent Diffusion Model. - Tushar Dhyani; Florian Lux; Michele Mancusi; Giorgio Fabbro; Fritz Hohl; Ngoc Thang Vu (ICASSP, 2025)

Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer. - Michele Mancusi; Yurii Halychanskyi; Kin Wai Cheuk; Eloi Moliner; Chieh-Hsin Lai; Stefan Uhlich; Junghyun Koo; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Giorgio Fabbro; Yuki Mitsufuji (ICASSP, 2025)

Music Foundation Model as Generic Booster for Music Downstream Tasks. - Wei-Hsiang Liao 001; Yuhta Takida; Yukara Ikemiya; Zhi Zhong; Chieh-Hsin Lai; Giorgio Fabbro; Kazuki Shimada; Keisuke Toyama 002; Kin Wai Cheuk; Marco A. Martínez Ramírez; Shusuke Takahashi; Stefan Uhlich; et al. (Trans. Mach. Learn. Res., 2025)

SteerMusic: Enhanced Musical Consistency for Zero-shot Text-Guided and Personalized Music Editing. - Xinlei Niu; Kin Wai Cheuk; Jing Zhang 052; Naoki Murata; Chieh-Hsin Lai; Michele Mancusi; Woosung Choi; Giorgio Fabbro; Wei-Hsiang Liao 001; Charles Patrick Martin; Yuki Mitsufuji (CoRR, 2025)

ITO-Master: Inference-Time Optimization for Audio Effects Modeling of Music Mastering Processors. - Junghyun Koo; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Giorgio Fabbro; Michele Mancusi; Yuki Mitsufuji (CoRR, 2025)