Recording "Kun Faya Kun" by A. R. Rahman, Javed Ali & Mohit Chauhan
| Metadata | value |
|---|---|
| MBID | 2bba1a1d-39eb-4caf-aeac-33fa5baf4eb2 |
| title | Kun Faya Kun |
| artist | A. R. Rahman, Javed Ali & Mohit Chauhan |
| release | Rockstar |
| track number | 4 / 13 |
| track length | 7:53 |
Submission #1 out of 2 →
Low-level information Summary
| Tonal & Rhythm | value |
|---|---|
| key | C# major (92.0%) |
| chords key | C# major |
| danceability | 1.12 |
| bpm | 88 |
| beat count | 759 |
High-level information
| Voice, timbre, gender, etc. | value | probability |
|---|---|---|
| Voice | Voice | 99.3% |
| Gender | Male | 99.6% |
| Danceability | Not Danceable | 66.9% |
| Tonal | Tonal | 99.0% |
| Timbre | Bright | 96.2% |
| ISMIR04 Rhythm | Viennesewaltz | 94.0% |
| Moods | value | probability |
|---|---|---|
| Electronic | Not Electronic | 76.7% |
| Party | Not Party | 91.0% |
| Aggressive | Not Aggressive | 99.4% |
| Acoustic | Acoustic | 95.1% |
| Happy | Happy | 61.6% |
| Sad | Not Sad | 54.1% |
| Relaxed | Relaxed | 67.6% |
| Mirex method | Literate, Poignant, Wistful, Bittersweet, Autumnal, Brooding | 45.2% |
| Genres | value | probability |
|---|---|---|
| GTZAN model | Jazz | 31.1% |
| Electronic classification | Ambient | 73.9% |
| Dortmund model | Electronic | 99.9% |
| Rosamerica model | Rhythm And Blues | 38.8% |
