4 citations · 7 across the 6 of their papers we have counts for
7 papers · 1 filter
From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion
Robin San Roman, Yossi Adi, Antoine Deleforge +3
Deep generative models can generate high-fidelity audio conditioned on various types of representations (e.g., mel-spectrograms, Mel-frequency Cepstral Coefficients (MFCC)). Recent…
Gridless 3D Recovery of Image Sources from Room Impulse Responses
Tom Sprunck, Yannick Privat, Cédric Foy +1
Given a sound field generated by a sparse distribution of impulse image sources, can the continuous 3D positions and amplitudes of these sources be recovered from discrete, bandlim…
Realistic sources, receivers and walls improve the generalisability of virtually-supervised blind acoustic parameter estimators
Prerak Srivastava, Antoine Deleforge, Emmanuel Vincent
Blind acoustic parameter estimation consists in inferring the acoustic properties of an environment from recordings of unknown sound sources. Recent works in this area have utilize…
VAST : The Virtual Acoustic Space Traveler Dataset
Clément Gaultier, Saurabh Kataria, Antoine Deleforge
This paper introduces a new paradigm for sound source lo-calization referred to as virtual acoustic space traveling (VAST) and presents a first dataset designed for this purpose. E…
Rectified binaural ratio: A complex T-distributed feature for robust sound localization
Antoine Deleforge, Florence Forbes
Most existing methods in binaural sound source localization rely on some kind of aggregation of phase-and level-difference cues in the time-frequency plane. While different ag-greg…
Phase Unmixing : Multichannel Source Separation with Magnitude Constraints
Antoine Deleforge, Yann Traonmilin
We consider the problem of estimating the phases of K mixed complex signals from a multichannel observation, when the mixing matrix and signal magnitudes are known. This problem ca…