Matt McVicar — accepted AI-conference papers

2024

Resource-Constrained Stereo Singing Voice Cancellation

Clara Borrelli, James Rae, Dogac Basaran, Matt McVicar, Mehrez Souden, Matthias Mauch

ICASSP 2024accepted

We study the problem of stereo singing voice cancellation, a subtask of music source separation, whose goal is to estimate an instrumental background from a stereo mix. We explore how to achieve performance similar to large state-of-the-art source separation networks starting from a small, efficient…

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2016

Learning to separate vocals from polyphonic mixtures via ensemble methods and structured output prediction

Matt McVicar, Raúl Santos-Rodriguez, Tijl De Bie

ICASSP 2016accepted

Separating the singing from a polyphonic mixed audio signal is a challenging but important task, with a wide range of applications across the music industry and music informatics research. Various methods have been devised over the years, ranging from Deep Learning approaches to dedicated ad hoc sol…

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