open source audio identification
MusicBrainz recording
I’m a Woman
Maria Muldaur
4:08
df43e8a8-ff7a-42b3-b5e6-5260c586cc58
View on MusicBrainz →
AcoustIDs
3
linked to this recording
Submissions
10
linking them to it
Fingerprints
14
distinct audio files
Duration
3:57–4:09
range of submitted files
AcoustIDs
| AcoustID | Most common fingerprint | Fingerprints | Length | Sources | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| A |
652f83c2-78a7-4821-ad56-979dcf16b9c8
Also linked to
I’m a Woman by Maria Muldaur, I'm a Woman by Maria Muldaur
|
3 | 4:05–4:09 | ||||||||||||||||||
|
Recordings linked to A
|
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| B |
3ba94ffb-0c33-4e73-b77d-9c8f04db3ab7
Also linked to
I’m a Woman by Maria Muldaur
|
7 | 3:57–4:04 | ||||||||||||||||||
|
Recordings linked to B
|
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| C |
3ded3937-1e28-4c56-8447-1963029dbefd
Also linked to
I Am a Woman by Maria Muldaur
|
4 | 4:02–4:07 | ||||||||||||||||||
|
Recordings linked to C
|
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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.