open source audio identification
MusicBrainz recording
Bonne bonne humeur ce matin
Tristan
edf2a9cc-9a0e-4529-9200-bcb11b16962e
View on MusicBrainz →
AcoustIDs
3
linked to this recording
Submissions
7
linking them to it
Fingerprints
8
distinct audio files
Duration
3:33–4:12
range of submitted files
AcoustIDs
| AcoustID | Most common fingerprint | Fingerprints | Length | Sources | |||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| A | 62803bc5-b2ab-47b9-8649-b86efabe0c0f | 2 | 3:33–3:34 | ||||||||||||||||||||||||||||
| B |
bde837cc-14e3-4ca0-bb3a-fec5f353e577
Also linked to
Bonne humeur ce matin by Tristan, Follow Me by Amanda Lear and
|
5 | 4:03–4:06 | ||||||||||||||||||||||||||||
|
Recordings linked to B
|
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| C | fe6317e4-d897-4d63-87ce-3c8a83b08795 | 1 | 4:12 | ||||||||||||||||||||||||||||
Are they the same audio?
Each cell compares the most common fingerprints of two of these AcoustIDs. High scores mean the same audio was split into separate AcoustIDs, while low scores are expected for different versions, edits or masterings of the recording.