Gaussian Framework for Interference Reduction in Live Recordings. - Diego Di Carlo; Ken Déguernel; Antoine Liutkus (Semantic Audio, 2017)

Interference Reduction on Full-Length Live Recordings. - Diego Di Carlo; Antoine Liutkus; Ken Deguemel (ICASSP, 2018)

Separake: Source Separation with a Little Help from Echoes. - Robin Scheibler; Diego Di Carlo; Antoine Deleforge; Ivan Dokmanic (ICASSP, 2018)

Evaluation of an open-source implementation of the SRP-PHAT algorithm within the 2018 LOCATA challenge. - Romain Lebarbenchon; Ewen Camberlein; Diego Di Carlo; Clément Gaultier; Antoine Deleforge; Nancy Bertin (CoRR, 2018)

Mirage: 2D Source Localization Using Microphone Pair Augmentation with Echoes. - Diego Di Carlo; Antoine Deleforge; Nancy Bertin (ICASSP, 2019)

Audio-Based Search and Rescue with a Drone: Highlights from the IEEE Signal Processing Cup 2019 Student Competition. - Antoine Deleforge; Diego Di Carlo; Martin Strauss 003; Romain Serizel; Lucio Marcenaro (CoRR, 2019)

Audio-Based Search and Rescue With a Drone: Highlights From the IEEE Signal Processing Cup 2019 Student Competition [SP Competitions]. - Antoine Deleforge; Diego Di Carlo; Martin Strauss 003; Romain Serizel; Lucio Marcenaro (IEEE Signal Process. Mag., 2019)

Blaster: An Off-Grid Method for Blind and Regularized Acoustic Echoes Retrieval. - Diego Di Carlo; Clement Elvira; Antoine Deleforge; Nancy Bertin; Rémi Gribonval (ICASSP, 2020)

dEchorate: a Calibrated Room Impulse Response Database for Echo-aware Signal Processing. - Diego Di Carlo; Pinchas Tandeitnik; Cédric Foy; Antoine Deleforge; Nancy Bertin; Sharon Gannot (CoRR, 2021)

Mean absorption estimation from room impulse responses using virtually supervised learning. - Cédric Foy; Antoine Deleforge; Diego Di Carlo (CoRR, 2021)

dEchorate: a calibrated room impulse response dataset for echo-aware signal processing. - Diego Di Carlo; Pinchas Tandeitnik; Cédric Foy; Nancy Bertin; Antoine Deleforge; Sharon Gannot (EURASIP J. Audio Speech Music. Process., 2021)

Elliptically Contoured Alpha-Stable Representation for MUSIC-Based Sound Source Localization. - Mathieu Fontaine 002; Diego Di Carlo; Kouhei Sekiguchi; Aditya Arie Nugraha; Yoshiaki Bando; Kazuyoshi Yoshii (EUSIPCO, 2022)

Time-Domain Audio Source Separation Based on Gaussian Processes with Deep Kernel Learning. - Aditya Arie Nugraha; Diego Di Carlo; Yoshiaki Bando; Mathieu Fontaine 002; Kazuyoshi Yoshii (WASPAA, 2023)

Neural Steerer: Novel Steering Vector Synthesis with a Causal Neural Field over Frequency and Source Positions. - Diego Di Carlo; Aditya Arie Nugraha; Mathieu Fontaine 002; Yoshiaki Bando; Kazuyoshi Yoshii (CoRR, 2023)

Run-Time Adaptation of Neural Beamforming for Robust Speech Dereverberation and Denoising. - Yoto Fujita; Aditya Arie Nugraha; Diego Di Carlo; Yoshiaki Bando; Mathieu Fontaine 002; Kazuyoshi Yoshii (APSIPA, 2024)

Neural Steerer: Novel Steering Vector Synthesis with a Causal Neural Field over Frequency and Direction. - Diego Di Carlo; Aditya Arie Nugraha; Mathieu Fontaine 002; Yoshiaki Bando; Kazuyoshi Yoshii (ICASSP Workshops, 2024)

RIR-in-a-Box: Estimating Room Acoustics from 3D Mesh Data through Shoebox Approximation. - Liam Kelley; Diego Di Carlo; Aditya Arie Nugraha; Mathieu Fontaine 002; Yoshiaki Bando; Kazuyoshi Yoshii (INTERSPEECH, 2024)

Joint Audio Source Localization and Separation with Distributed Microphone Arrays Based on Spatially-Regularized Multichannel NMF. - Yoshiaki Sumura; Diego Di Carlo; Aditya Arie Nugraha; Yoshiaki Bando; Kazuyoshi Yoshii (IWAENC, 2024)

Implicit neural representation for change detection. - Peter Naylor; Diego Di Carlo; Arianna Traviglia; Makoto Yamada; Marco Fiorucci (WACV, 2024)

SHAMaNS: Sound Localization with Hybrid Alpha-Stable Spatial Measure and Neural Steerer. - Diego Di Carlo; Mathieu Fontaine 002; Aditya Arie Nugraha; Yoshiaki Bando; Kazuyoshi Yoshii (CoRR, 2025)