Recording "Train Wreck" by Sarah McLachlan
| Metadata | value |
|---|---|
| MBID | 03ea8337-7811-4f02-998e-bbb4b1e37f09 |
| title | Train Wreck |
| artist | Sarah McLachlan |
| release | Afterglow |
| track number | 5 / 10 |
| track length | 4:36 |
Submission #1 out of 44 →
Low-level information Summary
| Tonal & Rhythm | value |
|---|---|
| key | D major (69.0%) |
| chords key | D major |
| danceability | 1.15 |
| bpm | 94 |
| beat count | 432 |
High-level information
| Voice, timbre, gender, etc. | value | probability |
|---|---|---|
| Voice | Voice | 73.9% |
| Gender | Female | 98.3% |
| Danceability | Danceable | 71.7% |
| Tonal | Atonal | 76.3% |
| Timbre | Bright | 72.6% |
| ISMIR04 Rhythm | Chachacha | 80.0% |
| Moods | value | probability |
|---|---|---|
| Electronic | Not Electronic | 61.8% |
| Party | Not Party | 74.1% |
| Aggressive | Not Aggressive | 93.1% |
| Acoustic | Not Acoustic | 64.3% |
| Happy | Happy | 59.8% |
| Sad | Not Sad | 50.0% |
| Relaxed | Relaxed | 55.7% |
| Mirex method | Rollicking, Cheerful, Fun, Sweet, Amiable/Good Natured | 43.2% |
| Genres | value | probability |
|---|---|---|
| GTZAN model | Jazz | 31.1% |
| Electronic classification | House | 48.3% |
| Dortmund model | Electronic | 95.1% |
| Rosamerica model | Rhythm And Blues | 57.4% |
