46 citations · 67 across the 5 of their papers we have counts for
4 papers · 1 filter
A cappella: Audio-visual Singing Voice Separation
Juan F. Montesinos, Venkatesh S. Kadandale, Gloria Haro
The task of isolating a target singing voice in music videos has useful applications. In this work, we explore the single-channel singing voice separation problem from a multimodal…
Multi-channel U-Net for Music Source Separation
Venkatesh S. Kadandale, Juan F. Montesinos, Gloria Haro +1
A fairly straightforward approach for music source separation is to train independent models, wherein each model is dedicated for estimating only a specific source. Training a sing…
A Case Study of Deep-Learned Activations via Hand-Crafted Audio Features
Olga Slizovskaia, Emilia Gómez, Gloria Haro
The explainability of Convolutional Neural Networks (CNNs) is a particularly challenging task in all areas of application, and it is notably under-researched in music and audio dom…
End-to-End Sound Source Separation Conditioned On Instrument Labels
Olga Slizovskaia, Leo Kim, Gloria Haro +1
Can we perform an end-to-end music source separation with a variable number of sources using a deep learning model? We present an extension of the Wave-U-Net model which allows end…