Recording "Train Wreck" by Sarah McLachlan
| Metadata | value |
|---|---|
| MBID | 3d7fea86-cbe7-407d-a63a-9a03142d8af1 |
| title | Train Wreck |
| artist | Sarah McLachlan |
| release | Afterglow Live |
| track number | 11 / 15 |
| track length | 3:55 |
Submission #1 out of 6 →
Low-level information Summary
| Tonal & Rhythm | value |
|---|---|
| key | D major (74.0%) |
| chords key | B minor |
| danceability | 1.05 |
| bpm | 100 |
| beat count | 415 |
High-level information
| Voice, timbre, gender, etc. | value | probability |
|---|---|---|
| Voice | Voice | 99.7% |
| Gender | Female | 96.2% |
| Danceability | Danceable | 64.8% |
| Tonal | Tonal | 91.5% |
| Timbre | Bright | 84.6% |
| ISMIR04 Rhythm | Tango | 23.8% |
| Moods | value | probability |
|---|---|---|
| Electronic | Not Electronic | 79.6% |
| Party | Not Party | 75.9% |
| Aggressive | Not Aggressive | 59.6% |
| Acoustic | Not Acoustic | 73.8% |
| Happy | Not Happy | 73.3% |
| Sad | Sad | 59.9% |
| Relaxed | Relaxed | 84.6% |
| Mirex method | Rollicking, Cheerful, Fun, Sweet, Amiable/Good Natured | 45.6% |
| Genres | value | probability |
|---|---|---|
| GTZAN model | Jazz | 31.1% |
| Electronic classification | Ambient | 83.8% |
| Dortmund model | Electronic | 56.6% |
| Rosamerica model | Pop | 43.0% |
