Deep generative models can generate high-fidelity audio conditioned on
v...
Learning-based methods have become ubiquitous in sound source localizati...
Given a sound field generated by a sparse distribution of impulse image
...
Blind acoustic parameter estimation consists in inferring the acoustic
p...
In this paper, we propose a method to estimate the proximity of an acous...
In the context of building acoustics and the acoustic diagnosis of an
ex...
Knowing the geometrical and acoustical parameters of a room may benefit
...
This report presents the dataset and baseline of Task 3 of the DCASE2021...
This paper presents dEchorate: a new database of measured multichannel R...
This paper describes Asteroid, the PyTorch-based audio source separation...
Single-channel speech separation has recently made great progress thanks...
Unmanned aerial vehicles (UAV), commonly referred to as drones, have rai...
Recent studies have explored the use of deep generative models of speech...
This short paper presents an efficient, flexible implementation of the
S...
This paper addresses the general problem of blind echo retrieval, i.e., ...
It is commonly believed that multipath hurts various audio processing
al...
We propose a new blind source separation algorithm based on mixtures of
...
We consider the problem of estimating the phases of K mixed complex sign...
Head-pose estimation has many applications, such as social event analysi...
Hyper-spectral data can be analyzed to recover physical properties at la...
In this work we address the problem of approximating high-dimensional da...