open source audio identification
MusicBrainz recording
You Belong to Me
Jo Stafford
3:02
2561810d-465d-4e3b-b186-bdef54573239
View on MusicBrainz →
AcoustIDs
6
linked to this recording
Submissions
20
linking them to it
Fingerprints
80
distinct audio files
Duration
2:54–3:10
range of submitted files
AcoustIDs
| AcoustID | Most common fingerprint | Fingerprints | Length | Sources | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| A |
cfc8fe02-4bb4-456b-baee-c9a80f5bff61
Also linked to
You Belong to Me by Jo Stafford
|
8 | 2:59–3:03 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Recordings linked to A
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| B |
59152c43-5f29-4154-a6d1-a0847a04c377
Also linked to
You Belong to Me by Jo Stafford, You Belong to Me by Jo Stafford and
|
5 | 3:01–3:03 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Recordings linked to B
|
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| C |
5fd4a0d6-93d5-4564-972e-b7ec70c79237
Also linked to
You Belong to Me by Jo Stafford
|
3 | 3:01–3:05 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Recordings linked to C
|
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| D |
f4d091b4-da50-44d3-8b52-41cff40cb696
Also linked to
You Belong to Me by Jo Stafford, You Belong to Me by Jo Stafford and
|
28 | 3:04–3:10 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Recordings linked to D
|
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| E |
759febd8-4ec7-405c-9c0a-c97e1f80633e
Also linked to
You Belong to Me by Jo Stafford, You Belong to Me by Jo Stafford and
|
11 | 3:03–3:05 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Recordings linked to E
|
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| F |
add287fd-56f7-48c3-b56a-62f85f1dde90
Also linked to
Unchained Melody by Al Hibbler, Thirteen Women by Bill Haley & His Comets and
|
25 | 2:54–2:57 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Recordings linked to F
|
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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.