Recording "Sick Music 2019 (continuous mix)" by Various Artists
| Metadata | value |
|---|---|
| MBID | ab9c385f-13bc-425f-95ea-84d5908422cd |
| title | Sick Music 2019 (continuous mix) |
| artist | Various Artists |
| release | Sick Music 2019 |
| track number | 26 / 26 |
| track length | 50:45 |
Submission #1 out of 3 →
Low-level information Summary
| Tonal & Rhythm | value |
|---|---|
| key | A# major (65.0%) |
| chords key | D minor |
| danceability | 1.19 |
| bpm | 87 |
| beat count | 4770 |
High-level information
| Voice, timbre, gender, etc. | value | probability |
|---|---|---|
| Voice | Instrumental | 100% |
| Gender | Female | 65.5% |
| Danceability | Not Danceable | 100% |
| Tonal | Atonal | 100% |
| Timbre | Dark | 97.2% |
| ISMIR04 Rhythm | Waltz | 17.7% |
| Moods | value | probability |
|---|---|---|
| Electronic | Electronic | 97.9% |
| Party | Not Party | 100.0% |
| Aggressive | Not Aggressive | 100% |
| Acoustic | Not Acoustic | 100.0% |
| Happy | Not Happy | 89.7% |
| Sad | Not Sad | 64.8% |
| Relaxed | Relaxed | 80.9% |
| Mirex method | Aggressive, Fiery, Tense/Anxious, Intense, Volatile, Visceral | 62.0% |
| Genres | value | probability |
|---|---|---|
| GTZAN model | Jazz | 31.1% |
| Electronic classification | Ambient | 78.4% |
| Dortmund model | Electronic | 100.0% |
| Rosamerica model | Dance | 74.9% |
