Search Results for author: Antoine Deleforge

Found 16 papers, 8 papers with code

Signal Inpainting from Fourier Magnitudes

1 code implementation28 Oct 2022 Louis Bahrman, Marina Krémé, Paul Magron, Antoine Deleforge

Signal inpainting is the task of restoring degraded or missing samples in a signal.


Mean absorption estimation from room impulse responses using virtually supervised learning

no code implementations1 Sep 2021 Cédric Foy, Antoine Deleforge, Diego Di Carlo

The critical choices of geometric, acoustic and simulation parameters used to train the models are extensively discussed and studied, while keeping in mind conditions that are representative of the field of building acoustics.

Room Impulse Response (RIR)

Blind Room Parameter Estimation Using Multiple-Multichannel Speech Recordings

1 code implementation29 Jul 2021 Prerak Srivastava, Antoine Deleforge, Emmanuel Vincent

Knowing the geometrical and acoustical parameters of a room may benefit applications such as audio augmented reality, speech dereverberation or audio forensics.

Speech Dereverberation

dEchorate: a Calibrated Room Impulse Response Database for Echo-aware Signal Processing

2 code implementations27 Apr 2021 Diego Di Carlo, Pinchas Tandeitnik, Cédric Foy, Antoine Deleforge, Nancy Bertin, Sharon Gannot

This paper presents dEchorate: a new database of measured multichannel Room Impulse Responses (RIRs) including annotations of early echo timings and 3D positions of microphones, real sources and image sources under different wall configurations in a cuboid room.

Benchmarking Retrieval +2

LibriMix: An Open-Source Dataset for Generalizable Speech Separation

5 code implementations22 May 2020 Joris Cosentino, Manuel Pariente, Samuele Cornell, Antoine Deleforge, Emmanuel Vincent

Most deep learning-based speech separation models today are benchmarked on it.

Audio and Speech Processing

Filterbank design for end-to-end speech separation

2 code implementations23 Oct 2019 Manuel Pariente, Samuele Cornell, Antoine Deleforge, Emmanuel Vincent

Also, we validate the use of parameterized filterbanks and show that complex-valued representations and masks are beneficial in all conditions.

Speaker Recognition Speech Separation

A Statistically Principled and Computationally Efficient Approach to Speech Enhancement using Variational Autoencoders

no code implementations3 May 2019 Manuel Pariente, Antoine Deleforge, Emmanuel Vincent

Recent studies have explored the use of deep generative models of speech spectra based of variational autoencoders (VAEs), combined with unsupervised noise models, to perform speech enhancement.

Speech Enhancement Variational Inference

MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval

1 code implementation NeurIPS 2018 Helena Peic Tukuljac, Antoine Deleforge, Rémi Gribonval

The approach operates directly in the parameter-space of echo locations and weights, and enables near-exact blind and off-grid echo retrieval from discrete-time measurements.

Information Retrieval Retrieval

Blind Source Separation Using Mixtures of Alpha-Stable Distributions

1 code implementation13 Nov 2017 Nicolas Keriven, Antoine Deleforge, Antoine Liutkus

We propose a new blind source separation algorithm based on mixtures of alpha-stable distributions.

blind source separation

VAST : The Virtual Acoustic Space Traveler Dataset

no code implementations14 Dec 2016 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.

Phase Unmixing : Multichannel Source Separation with Magnitude Constraints

no code implementations30 Sep 2016 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.

Robust Head-Pose Estimation Based on Partially-Latent Mixture of Linear Regressions

no code implementations31 Mar 2016 Vincent Drouard, Radu Horaud, Antoine Deleforge, Silèye Ba, Georgios Evangelidis

Head-pose estimation has many applications, such as social event analysis, human-robot and human-computer interaction, driving assistance, and so forth.

Face Alignment Head Pose Estimation

Hyper-Spectral Image Analysis with Partially-Latent Regression and Spatial Markov Dependencies

no code implementations30 Sep 2014 Antoine Deleforge, Florence Forbes, Sileye . Ba, Radu Horaud

This involves resolving inverse problems which can be addressed within machine learning, with the advantage that, once a relationship between physical parameters and spectra has been established in a data-driven fashion, the learned relationship can be used to estimate physical parameters for new hyper-spectral observations.


Co-Localization of Audio Sources in Images Using Binaural Features and Locally-Linear Regression

no code implementations12 Aug 2014 Antoine Deleforge, Radu Horaud, Yoav Schechner, Laurent Girin

Indeed, we demonstrate that the method can be used for audio-visual fusion, namely to map speech signals onto images and hence to spatially align the audio and visual modalities, thus enabling to discriminate between speaking and non-speaking faces.


High-Dimensional Regression with Gaussian Mixtures and Partially-Latent Response Variables

no code implementations10 Aug 2013 Antoine Deleforge, Florence Forbes, Radu Horaud

We introduce a mixture of locally-linear probabilistic mapping model that starts with estimating the parameters of inverse regression, and follows with inferring closed-form solutions for the forward parameters of the high-dimensional regression problem of interest.

Data Augmentation Dimensionality Reduction +2

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