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 #2 out of 6 →
Low-level information Summary
| Tonal & Rhythm | value |
|---|---|
| key | D# minor (78.0%) |
| chords key | D# minor |
| danceability | 1.34 |
| bpm | 80 |
| beat count | 534 |
High-level information
| Voice, timbre, gender, etc. | value | probability |
|---|---|---|
| Voice | Voice | 99.8% |
| Gender | Female | 54.5% |
| Danceability | Danceable | 94.9% |
| Tonal | Atonal | 62.5% |
| Timbre | Dark | 97.1% |
| ISMIR04 Rhythm | Viennesewaltz | 86.3% |
| Moods | value | probability |
|---|---|---|
| Electronic | Not Electronic | 55.7% |
| Party | Not Party | 51.2% |
| Aggressive | Not Aggressive | 67.9% |
| Acoustic | Not Acoustic | 88.2% |
| Happy | Not Happy | 91.3% |
| Sad | Not Sad | 71.9% |
| Relaxed | Relaxed | 86.5% |
| Mirex method | Humorous, Silly, Campy, Quirky, Whimsical, Witty, Wry | 28.4% |
| Genres | value | probability |
|---|---|---|
| GTZAN model | Jazz | 33.6% |
| Electronic classification | Ambient | 53.3% |
| Dortmund model | Electronic | 98.0% |
| Rosamerica model | Rhythm And Blues | 43.5% |
