21 citations · 61 across the 9 of their papers we have counts for
5 papers · 1 filter
Exploiting Device and Audio Data to Tag Music with User-Aware Listening Contexts
Karim M. Ibrahim, Elena V. Epure, Geoffroy Peeters +1
As music has become more available especially on music streaming platforms, people have started to have distinct preferences to fit to their varying listening situations, also know…
DarkGAN: Exploiting Knowledge Distillation for Comprehensible Audio Synthesis with GANs
Javier Nistal, Stefan Lattner, Gaël Richard
Generative Adversarial Networks (GANs) have achieved excellent audio synthesis quality in the last years. However, making them operable with semantically meaningful controls remain…
VQCPC-GAN: Variable-Length Adversarial Audio Synthesis Using Vector-Quantized Contrastive Predictive Coding
Javier Nistal, Cyran Aouameur, Stefan Lattner +1
Influenced by the field of Computer Vision, Generative Adversarial Networks (GANs) are often adopted for the audio domain using fixed-size two-dimensional spectrogram representatio…
Self-Supervised VQ-VAE for One-Shot Music Style Transfer
Ondřej Cífka, Alexey Ozerov, Umut Şimşekli +1
Neural style transfer, allowing to apply the artistic style of one image to another, has become one of the most widely showcased computer vision applications shortly after its intr…
Robust Downbeat Tracking Using an Ensemble of Convolutional Networks
S. Durand, J. P. Bello, B. David +1
In this paper, we present a novel state of the art system for automatic downbeat tracking from music signals. The audio signal is first segmented in frames which are synchronized a…