AcousticBrainz aims to automatically analyze the world’s music, in partnership with MusicBrainz and “provide music technology researchers and open source hackers with a massive database of information about music.” This effort is crowd sourced neatness, which means people from all over the world are contributing data by having their computer crunch through their MusicBrainz-IDed music libraries and automatically uploading all the low-level features it extracts.
I construct today’s review from low- and high-level data recently extracted from a particular music track AcousticBrainz. Can you guess what it is? What characteristics it has? (“Probabilities” are in parentheses.) The answer will be revealed below tomorrow.
This C# major track is certainly atonal (1.0), and is probably voice (0.94), maybe female (0.62), but absolutely danceable (1.0) with a ChaChaCha rhythm (0.5). It’s timbre is dark (0.99). Its mood is electronic (0.98) and not acoustic (0.90), and definitely aggressive (1.0) and not party (1.0). Curiously, it is not happy (0.99) but not sad (0.93), and probably relaxed (0.81). It is most assuredly jazz (1.0), but could also be called electronic (0.89) rock (0.85) trance (0.35) house (0.32). Some of its last.fm genre tags are, “90S” and 20Th Century”.