Recording "Too Many" by Al Green
| Metadata | value |
|---|---|
| MBID | 2c21e5e4-1098-4726-9182-298c0ad66b3e |
| title | Too Many |
| artist | Al Green |
| release | I Can’t Stop |
| track number | 12 / 12 |
| track length | 4:01 |
Submission #1 out of 1
Low-level information Summary
| Tonal & Rhythm | value |
|---|---|
| key | C# major (80.0%) |
| chords key | C# major |
| danceability | 1.23 |
| bpm | 91 |
| beat count | 367 |
High-level information
| Voice, timbre, gender, etc. | value | probability |
|---|---|---|
| Voice | Voice | 99.1% |
| Gender | Male | 80.3% |
| Danceability | Not Danceable | 83.8% |
| Tonal | Atonal | 64.8% |
| Timbre | Bright | 93.6% |
| ISMIR04 Rhythm | Viennesewaltz | 42.5% |
| Moods | value | probability |
|---|---|---|
| Electronic | Not Electronic | 58.2% |
| Party | Not Party | 83.9% |
| Aggressive | Not Aggressive | 99.2% |
| Acoustic | Acoustic | 65.2% |
| Happy | Happy | 66.3% |
| Sad | Not Sad | 51.7% |
| Relaxed | Relaxed | 59.1% |
| Mirex method | Literate, Poignant, Wistful, Bittersweet, Autumnal, Brooding | 36.2% |
| Genres | value | probability |
|---|---|---|
| GTZAN model | Jazz | 30.9% |
| Electronic classification | Ambient | 63.5% |
| Dortmund model | Electronic | 52.5% |
| Rosamerica model | Rhythm And Blues | 40.8% |
