85 citations · 243 across the 11 of their papers we have counts for
3 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…
A Deep Multimodal Approach for Cold-start Music Recommendation
Sergio Oramas, Oriol Nieto, Mohamed Sordo +1
An increasing amount of digital music is being published daily. Music streaming services often ingest all available music, but this poses a challenge: how to recommend new artists…
Multi-label Music Genre Classification from Audio, Text, and Images Using Deep Features
Sergio Oramas, Oriol Nieto, Francesco Barbieri +1
Music genres allow to categorize musical items that share common characteristics. Although these categories are not mutually exclusive, most related research is traditionally focus…