Paul-Gauthier Noé

17
Documents

Présentation

I am a researcher in Computer Science (chargé de recherche CNRS) in Marseille. In 2025, I joined the team QARMA in the Laboratoire d'Informatique et des Systèmes.

My main research interests are Calibration of probabilities, Information theory, Machine learning and Privacy in Speech technologies.

In 2024, I worked as a postdoctoral researcher at Statify, a joint team of Inria and Laboratoire Jean Kuntzmann in Grenoble.

In 2023, I received a PhD in Computer Science in Avignon Université under the supervision of Jean-François Bonastre and Driss Matrouf. I was working for the international JST-ANR VoicePersonae project. My thesis is named Representing evidence for attribute privacy: bayesian updating, compositional evidence, and calibration and can be found here.

Education:
  • 2019-2023, Avignon Université: PhD in Computer Science.
  • 2018-2020, KTH Royal Institute of Technology, Stockholm: M.Sc.Eng. in Computer Science and Electrical Engineering.
  • 2015-2019, Grenoble Institute of Technology: M.Sc.Eng. in Signal and Image Processing, Communication Systems, Multimedia (Phelma Sicom). B.Eng. Phelma.
Research visits:
  • October 2023, University of Bristol, in the team of Prof. Peter Flach,
  • June 2022-September 2022, National Institute of Informatics, Tokyo, in the team of Prof. Junichi Yamagishi.
Awards:
Teaching Experience:
  • 2022-2023: * Computer Science Basics: Boolean Algebra, Logic gate, Floating-point arithmetic (Tutorial B.Sc.), * Computer Science Basics 2: Combinatorial circuits, Sequential circuit, Processor (Tutorial B.Sc.), * Object-oriented programming C++ (Tutorial B.Sc.),
  • 2021-2022: * Computer Science Basics: Boolean Algebra, Logic gate, Floating-point arithmetic (Tutorial B.Sc.), * Data Analysis (Tutorial B.Sc.).
  • 2020-2021: * Computer Science Basics (Tutorial B.Sc.), * Data Analysis (Tutorial B.Sc.).
  • 2019-2020: * Computer Science Basics (Tutorial B.Sc.), * Data Analysis (Tutorial B.Sc.), * Web Development (Tutorial B.Sc.).

Publications

Publications

Image document

Explaining a probabilistic prediction on the simplex with Shapley compositions

Paul-Gauthier Noé , Miquel Perelló-Nieto , Jean-François Bonastre , Peter Flach
ECAI 2024, Oct 2024, Santiago de Compostela, Spain. ⟨10.3233/FAIA240605⟩
Communication dans un congrès hal-04687356 v2
Image document

Hiding Speaker’s Sex in Speech Using Zero-Evidence Speaker Representation in an Analysis/Synthesis Pipeline

Paul-Gauthier Noé , Xiaoxiao Miao , Xin Wang , Junichi Yamagishi , Jean-François Bonastre et al.
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2023, Rhodes Island, Greece. pp.1-5, ⟨10.1109/ICASSP49357.2023.10096749⟩
Communication dans un congrès hal-04264519 v1
Image document

A bridge between features and evidence for binary attribute-driven perfect privacy

Paul-Gauthier Noé , Andreas Nautsch , Driss Matrouf , Pierre-Michel Bousquet , Jean-François Bonastre
ICASSP 2022, May 2022, Singapore, Singapore
Communication dans un congrès hal-03375790 v2
Image document

Faire le pont entre l'observation et la preuve : Application au respect de la vie privée

Paul-Gauthier Noé , Andreas Nautsch , Driss Matrouf , Pierre-Michel Bousquet , Jean-François Bonastre
Journées d’Etudes sur la Parole - JEP2022, Jun 2022, Île de Noirmoutier, France
Communication dans un congrès hal-03813882 v1
Image document

Benchmarking and challenges in security and privacy for voice biometrics

Jean-Francois Bonastre , Hector Delgado , Nicholas Evans , Tomi Kinnunen , Kong Aik Lee et al.
SPSC 2021, 1st ISCA Symposium on Security and Privacy in Speech Communication, ISCA, Nov 2021, Magdeburg, Germany. ⟨10.21437/SPSC.2021-11⟩
Communication dans un congrès hal-03346196 v1
Image document

Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation

Paul-Gauthier Noé , Mohammad Mohammadamini , Driss Matrouf , Titouan Parcollet , Andreas Nautsch et al.
Interspeech 2021, Aug 2021, Brno, Czech Republic
Communication dans un congrès hal-03046920 v3
Image document

The Privacy ZEBRA: Zero Evidence Biometric Recognition Assessment

Andreas Nautsch , Jose Patino , Natalia Tomashenko , Junichi Yamagishi , Paul-Gauthier Noé et al.
Interspeech 2020, Oct 2021, Shanghai, China. pp.1698-1702, ⟨10.21437/Interspeech.2020-1815⟩
Communication dans un congrès hal-03555630 v1
Image document

Speech Pseudonymisation Assessment Using Voice Similarity Matrices

Paul-Gauthier Noé , Jean-François Bonastre , Driss Matrouf , Natalia Tomashenko , Andreas Nautsch et al.
Interspeech 2020, Oct 2020, Shanghai, China
Communication dans un congrès hal-02925559 v1
Image document

CGCNN: COMPLEX GABOR CONVOLUTIONAL NEURAL NETWORK ON RAW SPEECH

Paul-Gauthier Noé , Titouan Parcollet , Mohamed Morchid
ICASSP 2020, May 2020, Barcelona, Spain
Communication dans un congrès hal-02474746 v1
Image document

Denoising x-vectors for Robust Speaker Recognition

Mohammad Mohammadamini , Driss Matrouf , Paul-Gauthier Noé
Odyssey 2020 The Speaker and Language Recognition Workshop, Nov 2020, Tokyo, Japan. pp.75-80, ⟨10.21437/Odyssey.2020-11⟩
Communication dans un congrès hal-02614616 v1
Image document

Introducing the VoicePrivacy initiative

Natalia Tomashenko , Brij Mohan Lal Srivastava , Xin Wang , Emmanuel Vincent , Andreas Nautsch et al.
INTERSPEECH 2020, Oct 2020, Shanghai, China
Communication dans un congrès hal-02562199 v3
Image document

Compositional discriminant analysis through calibrated evidence functions

Paul-Gauthier Noé , Andreas Nautsch , Driss Matrouf , Pierre-Michel Bousquet , Jean-François Bonastre Overview
The 10th International Workshop on Compositional Data Analysis (CoDaWork2024), Jun 2024, Girona, Catalonia, Spain
Poster de conférence hal-04625713 v1
Image document

The VoicePrivacy 2020 Challenge Evaluation Plan

Natalia Tomashenko , Brij Mohan Lal Srivastava , Xin Wang , Emmanuel Vincent , Andreas Nautsch et al.
[0] LIA - Laboratoire Informatique d'Avignon; MULTISPEECH - Speech Modeling for Facilitating Oral-Based Communication Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery; Eurecom [Sophia Antipolis]; University of Edinburgh. 2020
Rapport hal-03623450 v2