AcoustID open source audio identification
MusicBrainz recording

Follow Me

Amanda Lear 4:05
332212dc-1ddd-417f-875f-17aa066ef64b View on MusicBrainz →
AcoustIDs
6
linked to this recording
Submissions
13
linking them to it
Fingerprints
55
distinct audio files
Duration
3:48–4:08
range of submitted files

AcoustIDs

Most submitted first
AcoustID Most common fingerprint Fingerprints Length Sources
A bde837cc-14e3-4ca0-bb3a-fec5f353e577
Also linked to Bonne humeur ce matin by Tristan, Bonne bonne humeur ce matin by Tristan and
5 4:03–4:06
4
B 4b73d1dd-7893-4f2a-bf6d-96a20f198638 2 4:04
3
C e8b344db-6083-4c7a-89d4-02099061fbad
Also linked to Follow Me by Amanda Lear, Follow Me by Amanda Lear and
6 4:05–4:08
2
D ff4c916c-0612-4be6-b8f7-222ab28cc419
Also linked to Follow Me by Amanda Lear
4 4:02–4:03
2
E 26f8503b-8f09-4389-84b2-482632f2e45f 1 4:05
1
F 0fd3ad43-92a1-42a1-b7ce-2ba2f1e4f8fb
Also linked to Follow Me by Amanda Lear, Follow Me by Amanda Lear and
37 3:48–3:56
1

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.

ABCDEF
A — 0.00 0.00 0.00 0.00 0.00
B 0.00 — 0.55 0.00 0.60 0.00
C 0.00 0.55 — 0.00 0.63 0.00
D 0.00 0.00 0.00 — 0.00 0.00
E 0.00 0.60 0.63 0.00 — 0.00
F 0.00 0.00 0.00 0.00 0.00 —