Resume

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Theo Lepage
Speech & Voice AI Researcher•Speaker Recognition & Speech Anti-Spoofing•Ph.D.
Paris, France (open to relocation EU/US)
theolepage.com
contact@theolepage.com
Theo Lepage
theolepage
Experience
Research Scientist at pyannoteAI
Paris, France
Oct. 2026 - Present

Advancing state-of-the-art speaker diarization & conversational intelligence through deep learning research in speaker recognition

Research Scientist (Internship) at Siemens Healthineers
Princeton, USA
Feb. 2022 - Sep. 2022

Developed deep learning models for end-to-end MR image enhancement (denoising & super-resolution)

Software Engineer (Internship) at CNRS
Paris, France
Sep. 2020 - Jan. 2021

Contributed to real-time holography software for retinal blood flow analysis → 20× input image throughput

Education
Sorbonne Université (Ph.D. in Artificial Intelligence)
Paris, France
Nov. 2022 - May 2026

Thesis: Self-Supervised Learning for Speaker Recognition • Supervised by R. Dehak and T. Géraud @ LRE-EPITA • Proposed self-supervised speaker verification methods achieving SOTA on VoxCeleb • Published 8 papers in leading speech venues (Interspeech, IEEE TASLP, ...)

École Pour l'Informatique et les Techniques Avancées - EPITA (M.Eng. in Computer Science)
Paris, France
Sep. 2017 - Sep. 2022
GPA: 3.9/4.0

Major: AI/ML for Computer Vision • Research student @ LRDE • Teaching assistant • Exchange semester @ CSUMB • International section

Publications
Selected first-author articles • Full list on icon-scholarGoogle Scholar
Self-Supervised Learning for Speaker Recognition: A study and review
Speech Communication•2026
SSPS: Self-Supervised Positive Sampling for Robust Self-Supervised Speaker Verification
Interspeech•2025
Self-Supervised Frameworks for Speaker Verification via Bootstrapped Positive Sampling
IEEE TASLP•2025
Projects
speakerscope.ai
Speaker diarization with ID, gender, language, and emotion insights via web or API, powered by SOTA AI models.
sslsv
Deep learning toolkit based on PyTorch for training & evaluating self-supervised models for speaker verification.
wavlm_ssl_sv
Self-supervised framework to fine-tune WavLM for speaker verification, without labels, achieving SOTA on VoxCeleb.
Miscellaneous
Skills
AI/ML:
PyTorch
TensorFlow
Scikit-learn
NumPy
Pandas
Programming:
Python
C
C++
CUDA
JavaScript
Bash
Tools:
Git
LaTex
Docker
Slurm
SQL
Languages:
English (fluent)
French (native)
Teaching
Intro to Deep Learning (2023-2025 @ EPITA)
Python for Data Science (2023-2025 @ EPITA)
Awards & Honors
3rd place @ ASVspoof 5 (Track 1, Open)
Academic Service
Reviewer for Interspeech, ICASSP & TASLP