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Matthieu Cervera

Supervisor
Cem Subakan
Co-supervisor
Mirco Ravanelli
Research Topics
Computer Vision
Creativity
Machine Learning For Speech and Audio
GitHub

Publications

Virtual Consistency for Audio Editing
Matthieu Cervera
Francesco Paissan
Mirco Ravanelli
Cem Subakan
Free-form, text-based audio editing remains a persistent challenge, despite progress in inversion-based neural methods. Current approaches r… (see more)ely on slow inversion procedures, limiting their practicality. We present a virtual-consistency based audio editing system that bypasses inversion by adapting the sampling process of diffusion models. Our pipeline is model-agnostic, requiring no fine-tuning or architectural changes, and achieves substantial speed-ups over recent neural editing baselines. Crucially, it achieves this efficiency without compromising quality, as demonstrated by quantitative benchmarks and a user study involving 16 participants.
2025-09-21
ArXiv (preprint)
arxiv.org
arxiv.org