Paul-Gauthier Noé

Présentation

Personal page

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:

Best

thesis

award 2023 from the

Association Francophone de la Communication Parlée

(AFCP), a special interest group of the

International Speech Communication Association

(ISCA).

Best

poster

contribution at

CodaWork2024

for our work on

Compositional Discriminant Analysis Through Calibrated Evidence Functions

.

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

Thèse (1)

Representing evidence for attribute privacy : bayesian updating, compositional evidence and calibration Paul-Gauthier Noé Other [cs.OH]. Université d'Avignon, 2023. English. ⟨NNT : 2023AVIG0113⟩ Thèse tel-04264175v1

Communication dans un congrès (11)

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-04687356v2
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 Bonastreet 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-04264519v1
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-03375790v2
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-03813882v1
Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation Paul-Gauthier Noé,Mohammad Mohammadamini,Driss Matrouf,Titouan Parcollet,Andreas Nautschet al. Interspeech 2021, Aug 2021, Brno, Czech Republic Communication dans un congrès hal-03046920v3
Benchmarking and challenges in security and privacy for voice biometrics Jean-Francois Bonastre,Hector Delgado,Nicholas Evans,Tomi Kinnunen,Kong Aik Leeet 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-03346196v1
The Privacy ZEBRA: Zero Evidence Biometric Recognition Assessment Andreas Nautsch,Jose Patino,Natalia Tomashenko,Junichi Yamagishi,Paul-Gauthier Noéet al. Interspeech 2020, Oct 2021, Shanghai, China. pp.1698-1702, ⟨10.21437/Interspeech.2020-1815⟩ Communication dans un congrès hal-03555630v1
Speech Pseudonymisation Assessment Using Voice Similarity Matrices Paul-Gauthier Noé,Jean-François Bonastre,Driss Matrouf,Natalia Tomashenko,Andreas Nautschet al. Interspeech 2020, Oct 2020, Shanghai, China Communication dans un congrès hal-02925559v1
Introducing the VoicePrivacy initiative Natalia Tomashenko,Brij Mohan Lal Srivastava,Xin Wang,Emmanuel Vincent,Andreas Nautschet al. INTERSPEECH 2020, Oct 2020, Shanghai, China Communication dans un congrès hal-02562199v3
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-02474746v1
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-02614616v1

Article dans une revue (2)

Towards a unified assessment framework of speech pseudonymisation Paul-Gauthier Noé,Andreas Nautsch,Nicholas Evans,Jose Patino,Jean-François Bonastreet al. Computer Speech and Language, 2022, 72, pp.101299. ⟨10.1016/j.csl.2021.101299⟩ Article dans une revue hal-03555462v1
The VoicePrivacy 2020 Challenge: Results and findings Natalia Tomashenko,Xin Wang,Emmanuel Vincent,Jose Patino,Brij Mohan Lal Srivastavaet al. Computer Speech and Language, 2022, 74, pp.101362. ⟨10.1016/j.csl.2022.101362⟩ Article dans une revue hal-03332224v4

Poster de conférence (1)

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

Pré-publication, Document de travail (2)

The distribution of calibrated likelihood functions on the probability-likelihood Aitchison simplex Paul-Gauthier Noé,Andreas Nautsch,Driss Matrouf,Pierre-Michel Bousquet,Jean-François Bonastre 2025 Pré-publication, Document de travail hal-05360331v1
Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings Natalia Tomashenko,Xin Wang,Emmanuel Vincent,Jose Patino,Brij Mohan Lal Srivastavaet al. 2022 Pré-publication, Document de travail hal-03335126v6

Rapport (1)

The VoicePrivacy 2020 Challenge Evaluation Plan Natalia Tomashenko,Brij Mohan Lal Srivastava,Xin Wang,Emmanuel Vincent,Andreas Nautschet 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-03623450v2