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This repository contains the annotations and download scripts for the audio files of the GiantSteps Tempo data set. This data set was published at ISMIR 2015: P. Knees et al.: "Two data sets for tempo estimation and key detection in electronic dance music annotated from user corrections" http://www.cp.jku.at/datasets/giantst…
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name: GiantSteps (tempo+genre) contact: Richard Vogl <email@example.com> Peter Knees <firstname.lastname@example.org> 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