name: GiantSteps (tempo+genre)
contact: Richard Vogl <richard.vogl@jku.at>
Peter Knees <peter.knees@jku.at>
description: collection of annotations for 664 2min(1) audio previews from
www.beatport.com
reference: Peter Knees, Ángel Faraldo, Perfecto Herrera, Richard Vogl,
Sebastian Böck, Florian Hörschläger, Mickael Le Goff: "Two data
sets for tempo estimation and key detection in electronic dance
music annotated from user corrections," Proc. of the 16th
Conference of the International Society for Music Information
Retrieval (ISMIR'15), Oct. 2015, Malaga, Spain.
annotations: tempo (bpm), genre
content:
=========================================================================
audio/ original audio files in mp3 format
md5/ md5 hashes of original audio files
annotations/genre/ genre annotations
annotations/tempo/ tempo annotations
annotations/giantsteps/ annotations in the GiantSteps project format
annotations/jams/ annotations in the JAMS (https://github.com/marl/jams) format
splits/ file splitting definitions
notes:
=========================================================================
The audio files (664 files, size ~1gb) can be downloaded from http://www.beatport.com/
using the bash script:
./audio_dl.sh
To download the files manually use links of the following form:
http://geo-samples.beatport.com/lofi/<name of mp3 file>
e.g.:
http://geo-samples.beatport.com/lofi/5377710.LOFI.mp3
To convert the audio files to .wav use (bash + sox):
./convert_audio.sh
To retrieve the genre information, the JSON contained within the website was parsed.
The tempo annotation was extracted from forum entries of people correcting the bpm values (i.e. manual annotation of tempo).
For more information please contact creators.
(1): Most of the audio files are 120 seconds long. Exceptions are:
name length
906760.LOFI.mp3 62
1327052.LOFI.mp3 70
4416506.LOFI.mp3 80
1855660.LOFI.mp3 119
3419452.LOFI.mp3 119
3577631.LOFI.mp3 119