open source audio identification
MusicBrainz recording
I Think I Like It
Fake Blood
3:01
571b5170-b8a7-44fe-bb34-88f12eef661e
View on MusicBrainz →
AcoustIDs
2
linked to this recording
Submissions
23
linking them to it
Fingerprints
15
distinct audio files
Duration
2:59–3:22
range of submitted files
AcoustIDs
| AcoustID | Most common fingerprint | Fingerprints | Length | Sources | ||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| A |
56c1b679-16e9-41aa-91b1-2b713649879c
Also linked to
I Think I Like It by Fake Blood, I Think I Like It (radio edit) by Fake Blood and
|
13 | 2:59–3:05 | |||||||||||||||||||||||||||||||||||||||||||
|
Recordings linked to A
|
||||||||||||||||||||||||||||||||||||||||||||||
| B | 00ab1ed6-df41-4ea3-8380-4ac9166d565b | 2 | 3:22 | |||||||||||||||||||||||||||||||||||||||||||
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.