Recording "I Can Feel It" by Tech N9ne feat. Agginy & The Philsta
| Metadata | value |
|---|---|
| MBID | 726b717f-9953-416d-8993-e7f5148af4e0 |
| title | I Can Feel It |
| artist | Tech N9ne feat. Agginy & The Philsta |
| release | Collabos: Misery Loves Kompany |
| track number | 13 / 17 |
| track length | 4:38 |
← Submission #4 out of 6 →
Low-level information Summary
| Tonal & Rhythm | value |
|---|---|
| key | D# minor (78.0%) |
| chords key | D# minor |
| danceability | 1.34 |
| bpm | 162 |
| beat count | 573 |
High-level information
| Voice, timbre, gender, etc. | value | probability |
|---|---|---|
| Voice | Voice | 99.8% |
| Gender | Female | 50.9% |
| Danceability | Danceable | 97.7% |
| Tonal | Atonal | 70.1% |
| Timbre | Dark | 96.2% |
| ISMIR04 Rhythm | Viennesewaltz | 85.1% |
| Moods | value | probability |
|---|---|---|
| Electronic | Electronic | 52.3% |
| Party | Not Party | 87.5% |
| Aggressive | Not Aggressive | 96.7% |
| Acoustic | Not Acoustic | 93.2% |
| Happy | Not Happy | 89.9% |
| Sad | Not Sad | 69.4% |
| Relaxed | Relaxed | 80.4% |
| Mirex method | Aggressive, Fiery, Tense/Anxious, Intense, Volatile, Visceral | 28.5% |
| Genres | value | probability |
|---|---|---|
| GTZAN model | Jazz | 33.8% |
| Electronic classification | Ambient | 45.3% |
| Dortmund model | Electronic | 99.2% |
| Rosamerica model | Rhythm And Blues | 47.5% |
