Paper Info
Title
Deep Learning for Audio-Based Music Classification and Tagging: Teaching Computers to Distinguish Rock from Bach.
Abstract
Over the last decade, music-streaming services have grown dramatically. Pandora, one company in the field, has pioneered and popularized streaming music by successfully deploying the Music Genome Project [1] (https://www.pandora.com/about/mgp) based on human-annotated content analysis. Another company, Spotify, has a catalog of over 40 million songs and over 180 million users as of mid-2018 (https...
Year
DOI
Venue
2019
10.1109/MSP.2018.2874383
IEEE Signal Processing Magazine
Keywords
Field
DocType
Tagging,Music,Multiple signal classification,Task analysis,Feature extraction,Spectrogram,Signal processing algorithms,Internet,Streaming media
Content analysis,World Wide Web,Multiple signal classification,Task analysis,Computer science,Popularity,Service provider,Theoretical computer science,Artificial intelligence,Deep learning,Signal processing algorithms
Journal
Volume
Issue
ISSN
36
1
1053-5888
Citations 
PageRank 
References 
3
0.44
0
Authors
5
Name
Order
Citations
PageRank
Juhan Nam126125.12
Keunwoo Choi211510.26
Jongpil Lee311115.79
Szu-Yu Chou4496.82
Yi-Hsuan Yang5102284.71