open source audio identification
MusicBrainz recording
I’m a Woman
Maria Muldaur
4:09
5d2cda81-bc63-465a-8502-7e03cc481a88
View on MusicBrainz →
AcoustIDs
2
linked to this recording
Submissions
78
linking them to it
Fingerprints
7
distinct audio files
Duration
3:51–4:09
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 |
beafa7f4-5927-4e61-833d-de8ecb61c810
Also linked to
I’m a Woman by Jim Kweskin & The Jug Band, I'm a Woman by Jim Kweskin & the Jug Band with Maria Muldaur
|
4 | 3:51–3:56 | ||||||||||||||||||
|
Recordings linked to B
|
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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.