Recording "Be Kind to Me" by Michael Hurley
| Metadata | value |
|---|---|
| MBID | 305a3e36-8772-4964-a353-70860bea9ae1 |
| title | Be Kind to Me |
| artist | Michael Hurley |
| release | Armchair Boogie |
| track number | 4 / 14 |
| track length | 3:00 |
Submission #1 out of 5 →
Low-level information Summary
| Tonal & Rhythm | value |
|---|---|
| key | F# major (88.0%) |
| chords key | F# major |
| danceability | 1.08 |
| bpm | 142 |
| beat count | 400 |
High-level information
| Voice, timbre, gender, etc. | value | probability |
|---|---|---|
| Voice | Instrumental | 62.9% |
| Gender | Male | 98.1% |
| Danceability | Not Danceable | 95.0% |
| Tonal | Tonal | 97.6% |
| Timbre | Bright | 98.2% |
| ISMIR04 Rhythm | Viennesewaltz | 64.2% |
| Moods | value | probability |
|---|---|---|
| Electronic | Not Electronic | 98.3% |
| Party | Not Party | 98.4% |
| Aggressive | Not Aggressive | 100.0% |
| Acoustic | Acoustic | 99.6% |
| Happy | Not Happy | 68.9% |
| Sad | Sad | 84.2% |
| Relaxed | Relaxed | 99.7% |
| Mirex method | Literate, Poignant, Wistful, Bittersweet, Autumnal, Brooding | 52.8% |
| Genres | value | probability |
|---|---|---|
| GTZAN model | Jazz | 31.4% |
| Electronic classification | Ambient | 97.5% |
| Dortmund model | Folk/Country | 42.6% |
| Rosamerica model | Classical | 59.4% |
