Recording "Turn to Dust" by Kelela
| Metadata | value |
|---|---|
| MBID | 2c06035f-6de4-4466-9e0f-7bba747dd979 |
| title | Turn to Dust |
| artist | Kelela |
| release | Take Me Apart |
| track number | 12 / 14 |
| track length | 4:29 |
← Submission #2 out of 10 →
Low-level information Summary
| Tonal & Rhythm | value |
|---|---|
| key | A# minor (72.0%) |
| chords key | A# minor |
| danceability | 0.94 |
| bpm | 123 |
| beat count | 555 |
High-level information
| Voice, timbre, gender, etc. | value | probability |
|---|---|---|
| Voice | Voice | 65.1% |
| Gender | Female | 96.5% |
| Danceability | Not Danceable | 85.1% |
| Tonal | Atonal | 85.7% |
| Timbre | Dark | 99.7% |
| ISMIR04 Rhythm | Viennesewaltz | 83.2% |
| Moods | value | probability |
|---|---|---|
| Electronic | Not Electronic | 50.8% |
| Party | Not Party | 96.2% |
| Aggressive | Not Aggressive | 94.7% |
| Acoustic | Acoustic | 89.0% |
| Happy | Not Happy | 89.7% |
| Sad | Sad | 59.6% |
| Relaxed | Relaxed | 99.0% |
| Mirex method | Literate, Poignant, Wistful, Bittersweet, Autumnal, Brooding | 56.2% |
| Genres | value | probability |
|---|---|---|
| GTZAN model | Jazz | 31.7% |
| Electronic classification | Ambient | 82.0% |
| Dortmund model | Electronic | 99.6% |
| Rosamerica model | Rhythm And Blues | 66.4% |
