80 citations · 150 across the 4 of their papers we have counts for
6 papers
Music Enhancement via Image Translation and Vocoding
Nikhil Kandpal, Oriol Nieto, Zeyu Jin
Consumer-grade music recordings such as those captured by mobile devices typically contain distortions in the form of background noise, reverb, and microphone-induced EQ. This pape…
Multimodal Metric Learning for Tag-based Music Retrieval
Minz Won, Sergio Oramas, Oriol Nieto +2
Tag-based music retrieval is crucial to browse large-scale music libraries efficiently. Hence, automatic music tagging has been actively explored, mostly as a classification task,…
Mood Classification Using Listening Data
Filip Korzeniowski, Oriol Nieto, Matthew McCallum +3
The mood of a song is a highly relevant feature for exploration and recommendation in large collections of music. These collections tend to require automatic methods for predicting…
Predicting Audio Advertisement Quality
Samaneh Ebrahimi, Hossein Vahabi, Matthew Prockup +1
Online audio advertising is a particular form of advertising used abundantly in online music streaming services. In these platforms, which tend to host tens of thousands of unique…
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…