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Martín Rocamora

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Preprint Sep 2026

MambaVoice: Lightweight Audiovisual Singing Voice Separation Via A Hybrid Mamba-Transformer Model

Isolating a target singing voice from a music video remains challenging, particularly in the presence of multiple vocalists and dense instrumental accompaniment. We propose MambaVoice, a lightweight audiovisual framework that leverages a hybrid Mamba--Transformer architecture for targeted singing voice separation. The...

Adithi Shankar, G. Krishnan, G. Haro et al. · 0 citations
#artificial intelligence Preprint Aug 2026

MusGU+: Toward a Musician-Centered Evaluation Framework and Discovery Tool for Generative Music AI

MusGU+ is introduced, a musician-centered evaluation framework organized around three dimensions: Adaptability, Usability, and Controllability that supports informed selection and practical adoption of generative systems by musicians.

Laura Ibáñez-Martínez, Roser Batlle-Roca, Xavier Serra et al. · 1 citation

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