research
∙
06/13/2023
Contrastive Learning-Based Audio to Lyrics Alignment for Multiple Languages
Lyrics alignment gained considerable attention in recent years. State-of...
share
research
∙
05/03/2022
Few-Shot Musical Source Separation
Deep learning-based approaches to musical source separation are often li...
research
∙
11/14/2019
Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling
Convolutional neural networks (CNNs) with dilated filters such as the Wa...
research
∙
05/29/2019
Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators
Generative adversarial networks (GANs) have shown great success in appli...
research
∙
04/21/2019
GAN-based Generation and Automatic Selection of Explanations for Neural Networks
One way to interpret trained deep neural networks (DNNs) is by inspectin...
research
∙
04/09/2019
Ensemble Models for Spoofing Detection in Automatic Speaker Verification
Detecting spoofing attempts of automatic speaker verification (ASV) syst...
research
∙
02/18/2019
End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-Character Recognition Model
Time-aligned lyrics can enrich the music listening experience by enablin...
research
∙
06/08/2018
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation
Models for audio source separation usually operate on the magnitude spec...
research
∙
04/05/2018
Jointly Detecting and Separating Singing Voice: A Multi-Task Approach
A main challenge in applying deep learning to music processing is the av...
research
∙
10/31/2017
