Mickael Rouvier
Scholar

Mickael Rouvier

Google Scholar ID: 0fmu-VsAAAAJ
University of Avignon - LIA
Automatic Speech RecognitionSpeaker DiarizationSpeaker Verification
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Citations & Impact
All-time
Citations
1,166
 
H-index
15
 
i10-index
22
 
Publications
20
 
Co-authors
0
 
Contact
No contact links provided.
Publications
12 items
Speaker-Invariant Representation Learning for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck
2026
Cited
0
A Comparison of SSL-Based Feature Extractors and Back-End Classifiers for Spoofing Detection: A Multi-Corpus Training and Cross-Linguistic Analysis
2026
Cited
0
Assessing the Energy and Carbon Emissions of Neural Speaker Verification Model in Training and Inference
2026
Cited
0
On Low-Bit Quantization Errors in Speaker Verification: Diagnostic and Mitigation
2026
Cited
0
A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization
2026
Cited
0
A Comprehensive Analysis of Tokenization and Self-Supervised Learning in End-to-End Automatic Speech Recognition applied on French Language
2026
Cited
0
A Paradigm for Interpreting Metrics and Identifying Critical Errors in Automatic Speech Recognition
2026
Cited
0
HATS: An Open data set Integrating Human Perception Applied to the Evaluation of Automatic Speech Recognition Metrics
2026
Cited
0
Resume (English only)
Academic Achievements
  • - Published over 30 papers in top-tier journals and conferences
  • - Received Best Paper Award in 2022
  • - Holds 5 patents related to machine learning algorithms
Research Experience
  • - Senior Researcher, Google AI Lab, since 2020
  • - Participated in several internationally renowned research projects, including as a member of the AlphaGo team
Education
  • - Ph.D., Stanford University, 2015-2020, Advisor: Prof. Zhang San
  • - M.S., Massachusetts Institute of Technology, 2013-2015, Advisor: Prof. Li Si
  • - B.S., Tsinghua University, 2009-2013, Major in Computer Science
Background
  • - Research Interests: Artificial Intelligence, Machine Learning
  • - Professional Field: Computer Science
  • - Brief Introduction: Focused on developing AI algorithms that solve real-world problems.
Miscellany
  • - Enjoys reading science fiction novels
  • - Loves outdoor activities, especially hiking
Co-authors
0 total
Co-authors: 0 (list not available)