MusicBrainz recording

One O’Clock Jump

Count Basie and His Orchestra 3:03 1937-07-07, mx. 62332-A
1b7ac860-942b-4c59-871a-e471a87d1f0e View on MusicBrainz →
AcoustIDs
12
linked to this recording
Submissions
304
linking them to it
Fingerprints
134
distinct audio files
Duration
2:59–3:11
range of submitted files

AcoustIDs

Most submitted first
AcoustID Most common fingerprint Fingerprints Length Sources
A f50bf924-5784-4ae5-a515-a992805bfc41
Also linked to One O’Clock Jump by Count Basie and His Orchestra, One O'Clock Jump by Count Basie and
54 3:00–3:07
202
B 03aeafd8-87cd-4e12-8e2c-813f88b24315
Also linked to One O’Clock Jump by Count Basie and His Orchestra, One O'Clock Jump by Count Basie and
1 3:10
58
C 404693ca-7ec4-474b-8ddc-06c3c006fb8c
Also linked to One O'Clock Jump by The Count Basie Orchestra
1 3:11
10
D 54e820e4-a30f-4aed-871e-540dc6b1001f
Also linked to One O’Clock Jump by Count Basie, One O'Clock Jump by Count Basie and His Orchestra and
30 3:03–3:10
9
E 633a1656-7aeb-4c9d-bb47-8cea9ebf1bef
Also linked to One O'Clock Jump by Count Basie, One O’Clock Jump by Count Basie and His Orchestra and
3 3:02–3:08
6
F 6dea368f-a77c-4f6a-8f4c-3200ae696100
Also linked to One O'Clock Jump by Count Basie, One O’Clock Jump by Count Basie and
10 3:07–3:10
5
G 4cd4b481-1211-44fd-a5f1-4efb4432dfda
Also linked to One O'Clock Jump by Count Basie & His Orchestra, John's Idea by Count Basie and
13 2:59–3:04
4
H fb25c9d0-8806-4d04-bb70-f36e6e33dd42
Also linked to One O'Clock Jump by Count Basie, One O'Clock Jump by Count Basie
2 3:01–3:02
3
I 4508a042-ba5a-4f27-ab41-b7d894b8d3b5 2 3:04
3
J 0db25076-327b-4346-a123-e3444c1dae2d
Also linked to One O’Clock Jump by Count Basie & His Orchestra, Besame Mucho by Jimmy Dorsey
5 3:03–3:08
2
K 1e9d0d05-786b-49c7-ad4d-a554913a566b
Also linked to Jumpin’ at the Woodside by Count Basie
3 3:07–3:09
1
L 3f0b8e5a-5570-499a-8ba6-d092ed8613a6
Also linked to One O’Clock Jump by Count Basie, One O’Clock Jump by Count Basie and His Orchestra and
10 3:03–3:05
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.