MusicBrainz recording

Don’t Sit Under the Apple Tree (With Anyone Else but Me)

The Glenn Miller Orchestra 3:11
4caab6c8-3793-4012-b48e-84fa4998aa38 View on MusicBrainz →
AcoustIDs
8
linked to this recording
Submissions
129
linking them to it
Fingerprints
86
distinct audio files
Duration
3:08–3:26
range of submitted files

AcoustIDs

Most submitted first, 3 disabled
Show 3 disabled links
AcoustID Most common fingerprint Fingerprints Length Sources
A 8003aa54-f2cf-4af1-8681-2a806e924324
Also linked to Don’t Sit Under the Apple Tree (With Anyone Else but Me) by Glenn Miller, Don't Sit Under the Apple Tree by Glenn Miller and
16 3:10–3:16
53
B cb01d84d-8b90-45ad-b896-d7bf3691c235
Also linked to Don’t Sit Under the Apple Tree (With Anyone Else but Me) by Glenn Miller, Don’t Sit Under the Apple Tree (With Anyone Else but Me) by Glenn Miller & His Orchestra and
32 3:11–3:17
49
C 87852343-60fa-47c8-b192-77439476077b
Also linked to Don’t Sit Under the Apple Tree (With Anyone Else but Me) by Glenn Miller, Don't Sit Under the Apple Tree (With Anyone Else but Me) by Glenn Miller & His Orchestra and
15 3:09–3:16
12
D 58273384-3d65-450b-a994-79eed82386fe
Also linked to Don't Sit Under the Apple Tree by Glenn Miller
3 3:08
6
E 54cac1c4-6d8d-4462-af5e-bb08e298f668
Also linked to Ich trag’ im Herzen drin by Hans Moser & Wiener Solistenorchester, Ich trag im Herzen drin by Hans Moser & Wiener Schrammelorchester
8 3:24–3:26
4
F da583fbc-93d6-42dd-b96c-eb9458701a3b
Also linked to Tonight We Love by Freddy Martin, Tonight We Love by Freddy Martin
4 3:15–3:18
2
G c76bfa2e-a82c-42cb-99c2-98f391d8a628
Also linked to Don't Sit Under the Apple Tree by Glenn Miller, Don’t Sit Under the Apple Tree (With Anyone Else but Me) by Glenn Miller and
5 3:09–3:12
2
H eb616f73-75e8-4344-81b2-9dd57bbf7356
Also linked to Don’t Sit Under the Apple Tree (With Anyone Else but Me) by Glenn Miller, Don't Sit Under the Apple Tree by Glenn Miller and
3 3:09–3:11
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.