Author

Mickael Rouvier

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Preprint Oct 2026

VoxAnon: A balanced dataset for a fair evaluation of speech anonymization

Speech anonymization is evaluated with automatic speaker verification attackers whose performance depends on the attribute distribution of both their training and evaluation data, which may bias privacy estimates for some speaker groups. To alleviate this issue, we introduce VoxAnon, a dataset built from VoxCeleb1 and...

Orane Dufour, Paul Magron, Mickael Rouvier · 0 citations

Preprint Sep 2026

Beyond Encoder Fusion: Multi-View Discrete Token Augmentation for LLM-Based ASR

Discrete speech tokens provide a compact interface between speech encoders and large language models for automatic speech recognition, but single-tokenization systems remain sensitive to the chosen encoder. We propose multi-view discrete token augmentation, a simple strategy that augments each training utterance by gen...

Paul Moïse Gangbadja, Mickael Rouvier, Fabrice Lefèvre · 0 citations

Preprint Aug 2026

Generative vs. Encoder Large Language Models for ASR Evaluation: A Comparative Study

The results show that encoder-based metrics remain highly competitive, while generative LLMs perform strongly in hypothesis comparison and improve the interpretability of ASR evaluation.

Thibault Bañeras-Roux, Shashi Kumar, Driss Khalil et al. · 0 citations