MusicBrainz recording

Set Me Loose

Stereo MC’s 3:29
a5270000-ebdc-4db3-843b-dae3b1efdc62 View on MusicBrainz →
AcoustIDs
12
linked to this recording
Submissions
112
linking them to it
Fingerprints
61
distinct audio files
Duration
3:25–3:33
range of submitted files

AcoustIDs

Most submitted first, 3 disabled
Show 3 disabled links
AcoustID Most common fingerprint Fingerprints Length Sources
A 3e913ec2-f8aa-4954-b1d7-e006ad24689c
Also linked to Set Me Loose by Stereo MC’s
6 3:27–3:29
101
B 77531752-f786-40f4-9e9b-0ffc8f24818b
Also linked to What’s on Your Mind? by Ace Frehley, What’s on Your Mind? (concl.) by Ace Frehley and
9 3:27–3:29
1
C 0eb60981-7e93-49ae-bc96-f9f7ea4c450c
Also linked to Home by Alter Bridge, All Hope Is Gone by Alter Bridge and
3 3:28–3:30
1
D e23520bb-0d58-43b9-9022-84151aaf6e0a
Also linked to Solamente una vez by Andrea Bocelli, Mussolini High School L. by Traffic Jammies
2 3:30
1
E 6a6de75d-28b2-457e-acf9-19485ec9d51e
Also linked to Wishing You Were Somehow Here Again by Andrew Lloyd Webber, Wishing You Were Somehow Here Again by Laclede Quartet, The and
7 3:29–3:30
1
F ec90d800-9502-4475-acd9-0e19c2e9c231
Also linked to Take That Look Off Your Face by Marti Webb, Take That Look of Your Face by Marti Webb and
2 3:32–3:33
1
G 2f79b3f4-4c34-490e-8932-944bfdbf7009
Also linked to Ghosts in My Machine by Annie Lennox, Ghosts in My Machine (with artist commentary) by Annie Lennox
2 3:33
1
H c960bbd8-9ed4-4a7f-bf96-4c6a99af4d2e
Also linked to Spanish Harlem by Aretha Franklin, Spanish Harlem by Aretha Franklin
14 3:26–3:33
1
I 3d29fcb5-0107-4768-ab5c-54f39db8afe6 3 3:25–3:29
1
J c61d0ecf-39ab-45b4-a98b-fe5a0c52a52e
Also linked to Alexis’ Boogie by B.B. King
5 3:28–3:32
1
K dcc20689-68a0-4a73-acf3-fb2b5fd6c697
Also linked to O Holy Night by Tracy Chapman, O Holy Night by Tracy Chapman
5 3:25–3:30
1
L d5b3f18e-f8f9-42fc-bd7a-5058a4d676ff
Also linked to If I Could Do It Over Again by Animal Logic, Total Eclipse (radio version) by Rosenstolz + Marc Almond
3 3:28
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.