Maxime Poli

PhD student, DEC, Ecole Normale Supérieure – PSL

Joined

June 2024

Names

Maxime Poli (Preferred)

Emails

****@ens.psl.eu (Confirmed)

Personal Links

Career & Education History

PhD student

DEC, Ecole Normale Supérieure – PSL (ens.psl.eu)

2023 – Present

Intern

FAIR, Facebook (meta.com)

2024 – 2024

Advisors, Relations & Conflicts

PhD Advisor

Emmanuel Dupoux

Present

PhD Advisor

Emmanuel Chemla

Present

Expertise

self-supervised learning

speech processing

Present

cognitive modeling

language acquisition

Present

Publications

BabyHuBERT: Multilingual Self-Supervised Learning for Segmenting Speakers in Child-Centered Long-Form Recordings
Théo Charlot, Tarek Kunze, Maxime Poli, Alejandrina Cristià, Emmanuel Dupoux, Marvin Lavechin
- CoRR 2025
- Readers: Everyone
SpidR: Learning Fast and Stable Linguistic Units for Spoken Language Models Without Supervision
Maxime Poli, Mahi Luthra, Youssef Benchekroun, Yosuke Higuchi, Martin Gleize, Jiayi Shen, Robin Algayres, Yu-An Chung, Mido Assran, Juan Pino, Emmanuel Dupoux
- Accepted by TMLR
- Readers: Everyone
fastabx: A library for efficient computation of ABX discriminability
Maxime Poli, Emmanuel Chemla, Emmanuel Dupoux
- CoRR 2025
- Readers: Everyone
Modeling the initial state of early phonetic learning in infants
Maxime Poli, Thomas Schatz, Emmanuel Dupoux, Marvin Lavechin
- Language Development Research
- Readers: Everyone
Improving Spoken Language Modeling with Phoneme Classification: A Simple Fine-tuning Approach
Maxime Poli, Emmanuel Chemla, Emmanuel Dupoux
- EMNLP 2024
- Readers: Everyone
Introducing Topography in Convolutional Neural Networks
Maxime Poli, Emmanuel Dupoux, Rachid Riad
- ICASSP 2023
- Readers: Everyone
Shennong: a Python toolbox for audio speech features extraction
Mathieu Bernard, Maxime Poli, Julien Karadayi, Emmanuel Dupoux
- CoRR 2021
- Readers: Everyone

Maxime Poli

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

BabyHuBERT: Multilingual Self-Supervised Learning for Segmenting Speakers in Child-Centered Long-Form Recordings

SpidR: Learning Fast and Stable Linguistic Units for Spoken Language Models Without Supervision

fastabx: A library for efficient computation of ABX discriminability

Modeling the initial state of early phonetic learning in infants

Improving Spoken Language Modeling with Phoneme Classification: A Simple Fine-tuning Approach

Introducing Topography in Convolutional Neural Networks

Shennong: a Python toolbox for audio speech features extraction

Co-Authors