Recording "Dark Horse" by Example
| Metadata | value |
|---|---|
| MBID | 4c943f2d-f98c-4847-99f7-71036a327a8a |
| title | Dark Horse |
| artist | Example |
| release | BBC Radio 1’s Live Lounge 2014 |
| track number | 14 / 20 |
| track length | 3:01 |
Submission #1 out of 3 →
Low-level information Summary
| Tonal & Rhythm | value |
|---|---|
| key | A# minor (73.0%) |
| chords key | A# minor |
| danceability | 1.07 |
| bpm | 140 |
| beat count | 420 |
High-level information
| Voice, timbre, gender, etc. | value | probability |
|---|---|---|
| Voice | Voice | 98.9% |
| Gender | Male | 95.6% |
| Danceability | Not Danceable | 84.3% |
| Tonal | Tonal | 92.3% |
| Timbre | Bright | 85.1% |
| ISMIR04 Rhythm | Viennesewaltz | 61.6% |
| Moods | value | probability |
|---|---|---|
| Electronic | Electronic | 55.6% |
| Party | Not Party | 97.2% |
| Aggressive | Not Aggressive | 94.4% |
| Acoustic | Acoustic | 81.7% |
| Happy | Happy | 54.2% |
| Sad | Sad | 73.2% |
| Relaxed | Relaxed | 86.3% |
| Mirex method | Literate, Poignant, Wistful, Bittersweet, Autumnal, Brooding | 46.7% |
| Genres | value | probability |
|---|---|---|
| GTZAN model | Jazz | 30.9% |
| Electronic classification | Ambient | 88.5% |
| Dortmund model | Electronic | 82.5% |
| Rosamerica model | Classical | 46.4% |
