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I am mostly interested in electronic songs. I need both the songs' waveform and their labels (genre, BPM and key). If you know some similar data set that doesn't contain all 3 labels, please still share.
If possible, I want open data and downloading the whole dataset at once.
I haven't used them before. I've just had them in my bookmarks for any case.
Free: 'Use our data for whatever you want (commercial or non, research, personal use)'
Free for non-commercial: The Echo Nest APIs are free for non-commercial purposes. To use them commercially, contact us and we will go over licensing options.
I think that both of them are services to identify a song like Shazam does. But they let you download their data or use their API.
columbia has a music db here: http://labrosa.ee.columbia.edu/millionsong/pages/example-track-description
also check last.fm and creative commons music communities:
http://creativecommons.org/music-communities
AcousticBrainz is a database of algorithmically derived music metadata, including BPM, Key, moods, and genres. The database is keyed by acoustIDs, and you can find the acoustIDs for a particular track by searching for it on MusicBrainz.org.
Most attributes have uncertainties associated with them, and it's worth noting that the algorithms involved are not fool proof. For example, the above track is tagged Voice (92%), even though it does not have vocals (it has lots of weird synthesised noises that sound similar to vocals though). It is also tagged Jazz (100%), and though it does share many attributes with jazz, I doubt many people would actually classify it as jazz. Also, it's listed as 100% not danceable, which I can personally attest is not true :P
The data shown on that page is only a subset of what is available through the API.
All data is public domain (and if a song doesn't exist, you can easily submit it yourself with scripts listed on the contributing page), and is accessible via JSON, via their API (no API key required).
You can download the entire database at https://acousticbrainz.org/download, but it's 2.5Gb for just the high-level data, 34Gb for the full dataset (there are multiple fingerprints for each song).
