Using the Echo Nest's automatically extracted music features for a musicological purpose

Jesper Steen Andersen*

*Corresponding author af dette arbejde
1 Citationer (Scopus)

Abstract

This paper sums up the preliminary observations and challenges encountered during my first engaging with the music intelligence company Echo Nest's automatically derived data of more than 35 million songs. The overall purpose is to investigate whether musicologists can draw benefit from Echo Nest's API, and to explore what practical and analytical consideration one should take into account when engaging with the numbers derived from the Echo Nest API. This paper suggests that the Echo Nest API hold a large potential of doing new types of analyses and visualizing the results. But it concurrently argues that a careful and critical approach is requisite, when interpreting the results.
OriginalsprogEngelsk
Titel4th International Workshop on Cognitive Information Processing - Proceedings of CIP 2014
ForlagIEEE Computer Society Press
Publikationsdato2014
Artikelnummer6844510
ISBN (Trykt)9781479936960
DOI
StatusUdgivet - 2014
Begivenhed4th International Workshop on Cognitive Information Processing, CIP 2014 - Copenhagen, Danmark
Varighed: 26 maj 201428 maj 2014

Konference

Konference4th International Workshop on Cognitive Information Processing, CIP 2014
Land/OmrådeDanmark
ByCopenhagen
Periode26/05/201428/05/2014
SponsorCoSound, Danish Sound, DTU Compute, IAPR

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