116 citations · 349 across the 21 of their papers we have counts for
5 papers · 1 filter
End-to-end learning for music audio tagging at scale
Jordi Pons, Oriol Nieto, Matthew Prockup +3
The lack of data tends to limit the outcomes of deep learning research, particularly when dealing with end-to-end learning stacks processing raw data such as waveforms. In this stu…
Audio to score matching by combining phonetic and duration information
Rong Gong, Jordi Pons, Xavier Serra
We approach the singing phrase audio to score matching problem by using phonetic and duration information - with a focus on studying the jingju a cappella singing case. We argue th…
Score-informed syllable segmentation for a cappella singing voice with convolutional neural networks
Jordi Pons, Rong Gong, Xavier Serra
This paper introduces a new score-informed method for the segmentation of jingju a cappella singing phrase into syllables. The proposed method estimates the most likely sequence of…
A Wavenet for Speech Denoising
Dario Rethage, Jordi Pons, Xavier Serra
Currently, most speech processing techniques use magnitude spectrograms as front-end and are therefore by default discarding part of the signal: the phase. In order to overcome thi…
Timbre Analysis of Music Audio Signals with Convolutional Neural Networks
Jordi Pons, Olga Slizovskaia, Rong Gong +2
The focus of this work is to study how to efficiently tailor Convolutional Neural Networks (CNNs) towards learning timbre representations from log-mel magnitude spectrograms. We fi…