A Multimodal End-to-End Deep Learning Architecture for Music Popularity Prediction

A Multimodal End-to-End Deep Learning Architecture for Music Popularity Prediction

The continuous evolution of multimedia applications is fostering applied research in order to dynamically enhance the services provided by platforms such as Spotify, Lastfm, or Billboard. Thus, innovative methods for retrieving specific information from large volumes of data related with music arise...

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Bibliographic Details
Main Authors: David Martin-Gutierrez, Gustavo Hernandez Penaloza, Alberto Belmonte-Hernandez, Federico Alvarez Garcia
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Multimedia information retrieval systems
autoencoders
deep learning
feature compression
music information retrieval
popularity prediction
Online Access:https://ieeexplore.ieee.org/document/9007339/

Internet

https://ieeexplore.ieee.org/document/9007339/

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