116 citations · 349 across the 21 of their papers we have counts for
4 papers · 1 filter
Training neural audio classifiers with few data
Jordi Pons, Joan Serrà, Xavier Serra
We investigate supervised learning strategies that improve the training of neural network audio classifiers on small annotated collections. In particular, we study whether (i) a na…
End-to-end music source separation: is it possible in the waveform domain?
Francesc Lluís, Jordi Pons, Xavier Serra
Most of the currently successful source separation techniques use the magnitude spectrogram as input, and are therefore by default omitting part of the signal: the phase. To avoid…
General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline
Eduardo Fonseca, Manoj Plakal, Frederic Font +4
This paper describes Task 2 of the DCASE 2018 Challenge, titled "General-purpose audio tagging of Freesound content with AudioSet labels". This task was hosted on the Kaggle platfo…
Randomly weighted CNNs for (music) audio classification
Jordi Pons, Xavier Serra
The computer vision literature shows that randomly weighted neural networks perform reasonably as feature extractors. Following this idea, we study how non-trained (randomly weight…