We introduce a framework that recommends music based on the emotions of
...
In this paper, we introduce Jointist, an instrument-aware multi-instrume...
This paper introduces effective design choices for text-to-music retriev...
In this paper, we introduce Jointist, an instrument-aware multi-instrume...
Transformer is a successful deep neural network (DNN) architecture that ...
Content creators often use music to enhance their stories, as it can be ...
We present Music Tagging Transformer that is trained with a semi-supervi...
Music classification is a music information retrieval (MIR) task to clas...
Transformers have drawn attention in the MIR field for their remarkable
...
Tag-based music retrieval is crucial to browse large-scale music librari...
The mood of a song is a highly relevant feature for exploration and
reco...
Recent advances in deep learning accelerated the development of content-...
Recently, we proposed a self-attention based music tagging model. Differ...
Self-attention is an attention mechanism that learns a representation by...
The automated recognition of music genres from audio information is a
ch...