116 citations · 349 across the 21 of their papers we have counts for
6 papers · 1 filter
Automatic multitrack mixing with a differentiable mixing console of neural audio effects
Christian J. Steinmetz, Jordi Pons, Santiago Pascual +1
Applications of deep learning to automatic multitrack mixing are largely unexplored. This is partly due to the limited available data, coupled with the fact that such data is relat…
Upsampling artifacts in neural audio synthesis
Jordi Pons, Santiago Pascual, Giulio Cengarle +1
A number of recent advances in neural audio synthesis rely on upsampling layers, which can introduce undesired artifacts. In computer vision, upsampling artifacts have been studied…
FSD50K: An Open Dataset of Human-Labeled Sound Events
Eduardo Fonseca, Xavier Favory, Jordi Pons +2
Most existing datasets for sound event recognition (SER) are relatively small and/or domain-specific, with the exception of AudioSet, based on over 2M tracks from YouTube videos an…
SESQA: semi-supervised learning for speech quality assessment
Joan Serrà, Jordi Pons, Santiago Pascual
Automatic speech quality assessment is an important, transversal task whose progress is hampered by the scarcity of human annotations, poor generalization to unseen recording condi…
TensorFlow Audio Models in Essentia
Pablo Alonso-Jiménez, Dmitry Bogdanov, Jordi Pons +1
Essentia is a reference open-source C++/Python library for audio and music analysis. In this work, we present a set of algorithms that employ TensorFlow in Essentia, allow predicti…
An empirical study of Conv-TasNet
Berkan Kadioglu, Michael Horgan, Xiaoyu Liu +3
Conv-TasNet is a recently proposed waveform-based deep neural network that achieves state-of-the-art performance in speech source separation. Its architecture consists of a learnab…