The automatic annotation of direct speech (AADS) in written text has bee...
Transformers emerged as powerful methods for sequential recommendation.
...
Repetition in music consumption is a common phenomenon. It is notably mo...
Breath with nose sound features has been shown as a potential biometric ...
Recently, non-autoregressive neural vocoders have provided remarkable
pe...
On an artist's profile page, music streaming services frequently recomme...
Collaborative Metric Learning (CML) recently emerged as a powerful parad...
Voice conversion is a challenging task which transforms the voice
charac...
Music streaming services heavily rely on recommender systems to improve ...
Distance metric learning based on triplet loss has been applied with suc...
Graph autoencoders (AE) and variational autoencoders (VAE) recently emer...
In this paper, we present a general framework to scale graph autoencoder...
We address the problem of disambiguating large scale catalogs through th...