Theo Lepage
Ph.D. student in A.I. Self-Supervised Learning for Speaker Recognition
icon-mapParis, Franceicon-websitetheolepage.comicon-emailtheo@theolepage.comicon-linkedinTheo Lepage
Education
Sorbonne Université (Ph.D. in Artificial Intelligence)
icon-mapParis, France
icon-calendarNov. 2022 - Nov. 2025
  • Conducting research related to "Learning speech and speaker representations for robust speaker and language recognition"
  • Supported by French ANR 'APATE' project (Forensic Deepfakes Detection Toolbox)
  • Supervised by Dr. Réda Dehak and Pr. Thierry Géraud (LRE-EPITA)
icon-mapParis, France
icon-calendarSep. 2017 - Sep. 2022
  • Signal processing and machine learning (IMAGE major) + scientific research specialization (RDI major)
Experience
Research Scientist Intern at Siemens Healthineers
icon-mapPrinceton, USA
icon-calendarFeb. 2022 - Sep. 2022
  • Focused on state-of-the-art deep learning models for MR images enhancement (denoising and super-resolution)
  • Designed a CNN architecture that leverages the attention mechanism of Vision Transformers and recovers more details compared to the solution being used in the product
Siemens Healthineers logo
Research Student at LRE
icon-mapParis, France
icon-calendarJan. 2020 - Jan. 2022
  • Worked on self-supervised methods applied to speaker and language recognition while doing monthly "lightning" talks about my progress (supervised by Dr. Réda Dehak)
  • Developed a label-efficient non-contrastive speaker verification model that outperforms its supervised counterpart when fine-tuned with only 2% of labeled data
  • Our work led to a publication and an oral presentation at Interspeech 2022 (one of the top conferences in the field)
LRE logo
Software Developer Intern at CNRS
icon-mapParis, France
icon-calendarSep. 2020 - Jan. 2021
  • Contributed to a real-time digital holography software (C++ / CUDA) used for retinal blood flow analysis in a medical setting
  • Our work resulted in a 20x (500 to 10,000 FPS) speedup which improved substantially output images contrast and quality
  • Our refactoring and the addition of unit tests improved the stability and allowed the project to become open source
  • Founding member of the association 'Digital Holography' created to sustain the development of the software
CNRS logo
Publications
Preprint (accepted at Interspeech 2025)
Theo Lepage and Reda Dehak
Preprint (accepted with minor revisions at IEEE/ACM TASLP)
Theo Lepage and Reda Dehak
Proc. The Automatic Speaker Verification Spoofing Countermeasures Workshop (ASVspoof 2024), Aug. 2024, pp. 72--78
Theophile Stourbe, Victor Miara, Theo Lepage, and Reda Dehak
Proc. Interspeech 2024, Sept. 2024, pp. 2660--2664
Victor Miara, Theo Lepage, and Reda Dehak
Proc. The Speaker and Language Recognition Workshop (Odyssey 2024), Jun. 2024, pp. 38--42
Theo Lepage and Reda Dehak
Proc. Interspeech 2023, Aug. 2023, pp. 4708--4712
Theo Lepage and Reda Dehak
Proc. Interspeech 2022, Sept. 2022, pp. 4018--4022
Theo Lepage and Reda Dehak
Projects
Framework for training and evaluating self-supervised learning methods for speaker verification.
SOTA method for self-supervised speaker verification leveraging a large-scale pretrained ASR model.
Skills and interests
Programming
C
C++
C#
Java
Python
PHP
JS
Bash
Certificates
Driving license
Sailing instructor diploma
Languages
English (TOEIC 905)
French (native)
Data Science
PyTorch
TensorFlow
Scikit-learn
NumPy
Pandas
Passions and interests
icon-science and aiScience and AI
icon-roboticsRobotics
icon-sailing & windsurfingSailing & windsurfing
An up-to-date version of this document is available at theolepage.com/resume.