Recording "Addicted to Pain" by Alter Bridge
| Metadata | value |
|---|---|
| MBID | 1b3a484b-78e4-4e38-bfe1-9b72b616e610 |
| title | Addicted to Pain |
| artist | Alter Bridge |
| release | Addicted to Pain |
| track number | 1 / 1 |
| track length | 4:17 |
← Submission #2 out of 25 →
Low-level information Summary
| Tonal & Rhythm | value |
|---|---|
| key | C# minor (44.0%) |
| chords key | C# major |
| danceability | 1.33 |
| bpm | 118 |
| beat count | 503 |
High-level information
| Voice, timbre, gender, etc. | value | probability |
|---|---|---|
| Voice | Voice | 99.7% |
| Gender | Male | 80.7% |
| Danceability | Not Danceable | 98.7% |
| Tonal | Atonal | 100.0% |
| Timbre | Dark | 99.3% |
| ISMIR04 Rhythm | Chachacha | 88.6% |
| Moods | value | probability |
|---|---|---|
| Electronic | Electronic | 76.8% |
| Party | Party | 88.5% |
| Aggressive | Aggressive | 99.9% |
| Acoustic | Not Acoustic | 100.0% |
| Happy | Not Happy | 98.0% |
| Sad | Not Sad | 97.4% |
| Relaxed | Not Relaxed | 98.9% |
| Mirex method | Aggressive, Fiery, Tense/Anxious, Intense, Volatile, Visceral | 59.0% |
| Genres | value | probability |
|---|---|---|
| GTZAN model | Jazz | 31.4% |
| Electronic classification | Trance | 89.0% |
| Dortmund model | Electronic | 93.7% |
| Rosamerica model | Rock | 95.3% |
