Recording "Thanks for Memory" by Lee Konitz
| Metadata | value |
|---|---|
| MBID | 1dc9afb6-22be-4567-8821-ea8c087ec6c2 |
| title | Thanks for Memory |
| artist | Lee Konitz |
| release | Tenorlee |
| track number | 3 / 10 |
| track length | 4:11 |
Submission #1 out of 3 →
Low-level information Summary
| Tonal & Rhythm | value |
|---|---|
| key | B minor (45.0%) |
| chords key | A# major |
| danceability | 1.11 |
| bpm | 117 |
| beat count | 484 |
High-level information
| Voice, timbre, gender, etc. | value | probability |
|---|---|---|
| Voice | Instrumental | 100% |
| Gender | Female | 59.1% |
| Danceability | Not Danceable | 98.3% |
| Tonal | Atonal | 58.4% |
| Timbre | Bright | 68.6% |
| ISMIR04 Rhythm | Tango | 97.9% |
| Moods | value | probability |
|---|---|---|
| Electronic | Not Electronic | 63.9% |
| Party | Not Party | 99.3% |
| Aggressive | Not Aggressive | 91.0% |
| Acoustic | Acoustic | 99.4% |
| Happy | Not Happy | 98.4% |
| Sad | Sad | 76.2% |
| Relaxed | Relaxed | 99.2% |
| Mirex method | Literate, Poignant, Wistful, Bittersweet, Autumnal, Brooding | 58.0% |
| Genres | value | probability |
|---|---|---|
| GTZAN model | Jazz | 99.7% |
| Electronic classification | Ambient | 84.8% |
| Dortmund model | Electronic | 89.3% |
| Rosamerica model | Classical | 52.0% |
