Recording "Traffic Boom" by Piero Piccioni
| Metadata | value |
|---|---|
| MBID | 80376005-de31-44c8-b15e-b10875142036 |
| title | Traffic Boom |
| artist | Piero Piccioni |
| release | Beat at Cinecittà , Volume 1 |
| track number | 9 / 17 |
| track length | 3:15 |
← Submission #5 out of 34 →
Low-level information Summary
| Tonal & Rhythm | value |
|---|---|
| key | D minor (67.0%) |
| chords key | A major |
| danceability | 1.24 |
| bpm | 124 |
| beat count | 406 |
High-level information
| Voice, timbre, gender, etc. | value | probability |
|---|---|---|
| Voice | Instrumental | 71.6% |
| Gender | Female | 53.4% |
| Danceability | Not Danceable | 85.8% |
| Tonal | Atonal | 94.5% |
| Timbre | Dark | 87.2% |
| ISMIR04 Rhythm | Tango | 66.1% |
| Moods | value | probability |
|---|---|---|
| Electronic | Electronic | 77.0% |
| Party | Not Party | 83.2% |
| Aggressive | Not Aggressive | 86.2% |
| Acoustic | Not Acoustic | 60.1% |
| Happy | Not Happy | 61.3% |
| Sad | Not Sad | 64.9% |
| Relaxed | Relaxed | 98.2% |
| Mirex method | Aggressive, Fiery, Tense/Anxious, Intense, Volatile, Visceral | 27.1% |
| Genres | value | probability |
|---|---|---|
| GTZAN model | Jazz | 31.2% |
| Electronic classification | Ambient | 77.0% |
| Dortmund model | Electronic | 91.8% |
| Rosamerica model | Pop | 36.4% |
