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Matthieu Cervera

Superviseur⋅e principal⋅e
Cem Subakan
Co-supervisor
Mirco Ravanelli
Sujets de recherche
Apprentissage automatique pour la parole et l'audio
Créativité
Vision par ordinateur
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… (voir plus)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 (prépublication)
doi.org
arxiv.org
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… (voir plus)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 (prépublication)
arxiv.org
arxiv.org