About Me

Clément Gaultier

Clément Gaultier

Welcome to my webpage. My strong insterest in sound, acoustics or hearing drove me towards graduate studies specialized notably in acoustics and a PhD specialized in audio signal processing. My research topics mainly comprise solving acoustic and audio signal processing inverse problems. During my PhD I had been working on declipping and denoising using analysis/synthesis sparse priors. I also worked on binaural sound source localization with massive regressions machine learning techniques. Additionally, I am really interested in the auditory system and topics such as augmented hearing, speech enhancement or hearing protection.

My CV


You will find below a short description of my last positions and academic degrees.

Orange Labs

Since September 2019, I have been working as a postoctoral researcher with Orange Labs (R&D division of the Orange group) on multichannel acoustic echo cancellation for distributed audio systems and interpersonal communication.

Current position
Postdoctoral researcher

PANAMA team (IRISA - Inria/CNRS)

From February to August 2019, I worked as a research engineer for Inria mainly on audio restoration algorithms (multichannel declipping, pop/burst noise removal...).

Feb. 2019 - Aug. 2019
Research engineer

PANAMA team (IRISA - Inria/CNRS)

In January 2019, I graduated from Université de Rennes 1 where I did my PhD in the IRISA lab (the Panama team - a joint project team between Inria and CNRS). My main research interests were inverse problems in audio & acoustic signal processing.

Nov. 2015 - Jan. 2019
PhD Candidate

Hearing and Balance Centre (ISVR - Southampton University)

During this research stay, I studied auditory adaptation to noise for improved speech perception. The focus was finding noise characteristics and aclimatization time-scales for enhanced speech perception. For that I designed and conducted different listening experiments on 33 volunteers with normal hearing.

Mar. 2015 - Sep. 2015
Engineer in training / Master thesis

French Graduate Engineer (ENSIM)

In November 2015, I graduated from ENSIM, an engineering school in 5 years under the authority of the French Ministry of Education and Research. I specialized in Acoustics, Vibrations, Sensors.

Nov. 2015
Post graduate Student

University of Le Mans Master of Science (Research M.Sc in Acoustics)

In November 2015, I also graduated from Le Mans Université, as I was following a double degree (Research M.Sc specialized in acoustics).

Nov. 2015
Master Student
Download my detailed CV

Publications


You will find below a list of my scientific publications.

Working papers

  • Sparsity-based audio declipping methods: overview, new algorithms, and large-scale evaluation.

    Clément Gaultier, Srđan Kitić, Rémi Gribonval & Nancy Bertin
    [arXiv][HAL]

  • A modeling and algorithmic framework for (non) social (co) sparse audio restoration.

    Clément Gaultier, Nancy Bertin, Srđan Kitić & Rémi Gribonval
    [arXiv][HAL]

2019

  • Design and evaluation of sparse models and algorithms for audio inverse problems.

    Clément Gaultier
    Université de Rennes 1 (Jan. 2019)[TEL]

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
    2018 IEEE-AASP Challenge on Acoustic Source Localization and Tracking (LOCATA)
    International Workshop on Acoustic Signal Enhancement (Sept. 2018)[arxiv]

  • CASCADE: Channel-Aware Structured Cosparse Audio DEclipper.

    Clément Gaultier, Nancy Bertin & Rémi Gribonval
    2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),. IEEE. (April 2018) [HAL]

2017


  • AUDASCITY: AUdio Denoising by Adaptive Social CosparsITY.

    Clément Gaultier, Srđan Kitić, Nancy Bertin & Rémi Gribonval
    25th European Signal Processing Conference (EUSIPCO), (pp 1305-1309). EURASIP. (August 2017) [HAL]


  • Cosparse denoising: The importance of being social.

    Clément Gaultier, Srđan Kitić, Nancy Bertin & Rémi Gribonval
    The Signal Processing with Adaptive Sparse Structured Representations (SPARS) workshop. (abstract, June 2017) [HAL]


  • VAST: The Virtual Acoustic Space Traveler dataset.

    Clément Gaultier, Saurabh Kataria & Antoine Deleforge
    International Conference on Latent Variable Analysis and Signal Separation (pp. 68-79). Springer, Cham. (February 2017) [arXiv][HAL]


  • Hearing in a shoe-box: binaural source position and wall absorption estimation using virtually supervised learning.

    Saurabh Kataria, Clément Gaultier & Antoine Deleforge
    2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), (pp. 226-230). IEEE. (March 2017) [arXiv][HAL]

2015

  • Acclimatization to different English accents for enhanced speech intelligibility in noise in individuals with normal hearing.

    Rakshita Gokula, Clément Gaultier, Jessica J. M. Monaghan & Stefan Bleeck
    Basic Auditory Science Meeting, British Society of Audiology. (abstract, September 2015)


My Projects


Below are listed some of the projects I am working on. Click on the name to visit the associated webpage.

Clément Gaultier

SPARE

Spare (SParse Audio REstoration) is a research project aming at proposing a new modeling and algorithmic framework to tackle audio reconstruction issues like denoising and declipping.

Clément Gaultier

VAST

VAST (The Virtual Acoustic Space Traveler) is a research project aming at providing tools for sound source localization using virtually supervised leanring.

Clément Gaultier

A-SPADE

A-SPADE (Analysis SParse Audio DEclipper) is a research project that developped an audio declipping procedure using analysis sparse modeling priors.

Clément Gaultier

JSM

JSM (Journée Science et Musique) is a science popularization open day about science and musique organized every year by the PANAMA team (IRISA research center, Rennes (France)).

Clément Gaultier

Moderncv Template

A latex CV template using the moderncv class with Font Awesome 5 icon support.