71 citations · 294 across the 49 of their papers we have counts for
4 papers · 1 filter
Disambiguating Music Artists at Scale with Audio Metric Learning
Jimena Royo-Letelier, Romain Hennequin, Viet-Anh Tran +1
We address the problem of disambiguating large scale catalogs through the definition of an unknown artist clustering task. We explore the use of metric learning techniques to learn…
Music Mood Detection Based On Audio And Lyrics With Deep Neural Net
Rémi Delbouys, Romain Hennequin, Francesco Piccoli +2
We consider the task of multimodal music mood prediction based on the audio signal and the lyrics of a track. We reproduce the implementation of traditional feature engineering bas…
Audio Based Disambiguation Of Music Genre Tags
Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam
In this paper, we propose to infer music genre embeddings from audio datasets carrying semantic information about genres. We show that such embeddings can be used for disambiguatin…
Large-Scale Cover Song Detection in Digital Music Libraries Using Metadata, Lyrics and Audio Features
Albin Andrew Correya, Romain Hennequin, Mickaël Arcos
Cover song detection is a very relevant task in Music Information Retrieval (MIR) studies and has been mainly addressed using audio-based systems. Despite its potential impact in i…