Researcher · PhD

Hoan My TRAN

I work at the intersection of machine learning and natural language processing, with a focus on speech deepfake detection.

Hoan My Tran
Position ATER
Affiliation
  • IRISA
  • University of Rennes
Email
  • hoan.tran@irisa.fr
  • hoan-my.tran@univ-rennes.fr

About Me

I am Hoan My Tran, a lecturer and researcher at the IUT de Lannion (University of Rennes), France. In March 2026, I defended my Ph.D thesis at the University of Rennes within the IRISA laboratory (Expression Team). My research was advised by Prof. Damien Lolive, Prof. François Goasdoué, Prof. Pierre-François Marteau, Asst. Prof. Arnaud Delhay-Lorrain, and Asst. Prof. Aghilas Sini.

Before my PhD, I obtained a Bachelor's degree from IUT de Villetaneuse (University Sorbonne Paris Nord), followed by an engineering master's degree with a specialization in software engineering from IMT Atlantique.

My research focuses on machine learning applied to speech, with a particular emphasis on speech deepfake detection. I am also interested in communicating scientific topics to the broader public and was invited as a TEDx speaker to discuss the risks and societal impact of deepfake technologies.

Research Interests

Speech Processing Deepfake Detection Spoofing Detection Speech Foundation Models Machine Learning Deep Learning

Selected Publications

International Journals

2026
IEEE Open Journal of Signal Processing

Speech DF Arena: A Leaderboard for Speech DeepFake Detection Models

Sandipana Dowerah, Atharva Kulkarni, Ajinkya Kulkarni, Hoan My Tran, Joonas Kalda, Artem Fedorchenko, Benoit Fauve, Damien Lolive, Tanel Alumäe, and Matthew Magimai Doss

International Conferences

2026
ISCA INTERSPEECH CORE A

Deepfake Word Detection by Next-token Prediction using Fine-tuned Whisper

Hoan My Tran, Xin Wang, Wanying Ge, Xuechen Liu, and Junichi Yamagishi

2026
ACL Findings CORE A*

When depth is redundant: Efficient transformer-based speech anti-spoofing

Hoan My Tran, Damien Lolive, Aghilas Sini, Arnaud Delhay, Pierre-François Marteau, and David Guennec

2026
IEEE ICASSP CORE B

KAN we make models simpler for Audio Deepfake Detection with Kolmogorov-Arnold Networks?

Hoan My Tran, Aghilas Sini, David Guennec, Arnaud Delhay, Damien Lolive, and Pierre-François Marteau

2025
ACM Multimedia CORE A*

Multi-level SSL feature gating for audio deepfake detection

Hoan My Tran, Damien Lolive, Aghilas Sini, Arnaud Delhay, Pierre-François Marteau, and David Guennec

2025
IEEE EUSIPCO CORE B

KAN You Hear the Truth? Audio Deepfake Detection with Kolmogorov–Arnold Networks

Hoan My Tran, Damien Lolive, David Guennec, Aghilas Sini, Arnaud Delhay, and Pierre-François Marteau

2025
ISCA INTERSPEECH CORE A

Leveraging SSL Speech Features and Mamba for Enhanced DeepFake Detection

Hoan My Tran, Damien Lolive, David Guennec, Aghilas Sini, Arnaud Delhay, and Pierre-François Marteau

2024
ISCA INTERSPEECH CORE A

Spoofed Speech Detection with a Focus on Speaker Embedding

Hoan My Tran, David Guennec, Philippe Martin, Aghilas Sini, Damien Lolive, Arnaud Delhay, and Pierre-François Marteau

International Workshops

2024
ASVspoof 2024

Exploring generalization to unseen audio data for spoofing: Insights from SSL models

Atharva Kulkarni, Hoan My Tran, Ajinkya Kulkarni, Sandipana Dowerah, Damien Lolive, and Mathew Magimai Doss

French-speaking Conferences

2026
JEP

Simplifier la détection des deepfakes audio avec les réseaux de Kolmogorov-Arnold

Hoan My Tran, Aghilas Sini, David Guennec, Arnaud Delhay, Damien Lolive and Pierre-François Marteau

2026
JEP

Évaluation de la robustesse des modèles de fondation pour la détection de deepfakes audio : Influence de la diversité linguistique des données de pré-entraı̂nement

Hoan My Tran, Damien Lolive, Aghilas Sini, David Guennec, Arnaud Delhay and Pierre-François Marteau

Academic Services

Conference Reviewer

Interspeech, ICME, SLT, NeurIPS.

Curriculum Vitae

Education

Ph.D. in Computer Science

University of Rennes, Lannion, France · Advised by Prof. Damien Lolive, Prof. François Goasdoué, Prof. Pierre-François Marteau, Asst. Prof. Arnaud Delhay-Lorrain, Asst. Prof. Aghilas Sini

Master of Engineering in Computer Science

IMT Atlantique, Nantes, France

DUT in Computer Science (Foundation Degree)

IUT de Villetaneuse – Sorbonne Paris North University, Villetaneuse, France

Experience

ATER – Lecturer and Researcher

IUT de Lannion – University of Rennes, Lannion, France

Research Intern

National Institute of Informatics (NII), Tokyo, Japan · Advised by Prof. Junichi Yamagishi, Asst. Prof. Xin Wang, Xuechen Liu, and Wanying Ge

Lecturer and Researcher

IUT de Lannion – ENSSAT – University of Rennes, Lannion, France

Software Engineer

Talend – Nantes, France

Apprentice Software Engineer

Horoquartz – Saint-Herblain, France