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Wrong tonic identification result returned in joint analysis #413
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This Mbid are not recordings they are works, so they don't have audioanalysis nor jointanalysis. |
Ohh i pasted wrong mbids. I'll correct them and notify you as soon possible.
El 22 dic. 2016 12:52, "Andres Ferraro" <[email protected]> escribió:
… This Mbid are not recordings they are works, so they don't have
audioanalysis nor jointanalysis.
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@andrebola, sorry I couldn't write earlier because I was traveling. I couldn't run the checks for the complete audio collection yet, but I wanted to provide an example in the meantime: http://dunya.compmusic.upf.edu/document/by-id/5e2153e4-03fc-47a7-b91c-67c085ada644/jointanalysis?v=0.1&subtype=tonic This is the output of audioanalysis tonic identificaiton method, which somehow propogated into the jointanalysis: http://dunya.compmusic.upf.edu/document/by-id/5e2153e4-03fc-47a7-b91c-67c085ada644/audioanalysis?v=0.1&subtype=tonic |
@sertansenturk looking at the extractor, I guess they have the same value due to some failure on jointAnalyzer. Can you check if this code it's right? or should we store the output of summarized_features? |
I found out that the problem is in the score-informed tonic identification in joint analysis. Somehow the tonic value is not returned but the alignment etc. are done without a problem. It's quite strange. I couldn't pinpoint the problem yet because the problem seems to be on the MATLAB side. I'll probably investigate it thoroughly next week, when I return to Barcelona. |
Since it's a tomato related issue, I moved it to: sertansenturk/tomato#73 |
When I call:
docserver.file_for_document(mbid, 'jointanalysis', subtype='tonic')
, the docserver returns the tonic identification result of audio analysis instead.This occurs in the following recordings:
43161191-a382-4f4a-9601-828ada3b711b
bee6ac55-19d8-4bdf-891e-ea2c8cc91837
fad224f8-0973-49ad-9c14-7626b1556411
ff8836b8-ee9b-4351-b30c-03b2aac0dc25
8ff4d355-dd46-4074-b266-aeacabaf875a
1d7aa01a-8bf2-43e1-b972-714699db563d
1035e5bd-5f53-4a81-ad66-f861a51d8c4e
820b1b89-3596-42ec-b1b7-26d0974b0dd2
3601efbc-b05b-4f54-ba07-584a842de72e
5acbd63f-63fa-4070-a2a2-79e2940de768
6d1b0211-153e-4b00-ba3f-b48714216701
fad224f8-0973-49ad-9c14-7626b1556411
ffefc26e-4854-4af1-83b9-ac4e773dfc75
36a7a9a1-faac-439d-90bb-117597e13ffc
12567f93-4ae7-4198-a55b-1422b7a3935c
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