Daily review constructed from an AcousticBrainz track analysis: Nov. 26 2014

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 instrumental (0.91) but not acoustic (0.73) track in the key of F major is certainly atonal (1.0), and likely male-gendered (0.89). It is most definitely not danceable (1.0), but also has a Tango rhythm (0.995). Its mood is electronic (0.92) party (0.64), and is definitely happy (1.0) but maybe relaxed (0.81) and might be sad (0.6). It is probably ambient (0.89) and/or blues (0.80), but could also be classical (0.45) and/or hip hop (0.38).

"The Love Scene" from Dracula (the movie) by John Williams


This "atonal" descriptor falls into sharp critique. While one hears this extract as certainly quite chromatic, the tonality is clear. One would think that some partial transcription coupled with state-of-the-art symbolic analysis could detect it, but I guess it is not part of the approach. At least the descriptor could be renamed "chromaticism" or something. But even that would fail to be descriptive if the test material would be very simple tonality (pentatonic) with a single tritone key change.

Perhaps all of those descriptors are quite useful on some bulk of the large dataset. Maybe it's somewhere in the margins that they fail.

The Tango rhythm is not that far off, I think I can hear a slow habanera somewhere in the foundation.

Just curious, how are you selecting tracks to feature?

a) random from AcousticBrainz tracks, no selection
b) from your library, that have some weird "genre" characteristics
c) selecting AB examples with doubtful descriptions

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This page contains a single entry by Bob L. Sturm published on November 26, 2014 8:00 AM.

Daily review constructed from an AcousticBrainz track analysis: Nov. 25 2014 was the previous entry in this blog.

Daily review constructed from an AcousticBrainz track analysis: Nov. 27 2014 is the next entry in this blog.

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