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WWW 2018 Challenge: Learning to Recognize Musical Genre

Learning to Recognize Musical Genre from Audio on the Web


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Short length songs in testset

Posted by hglim over 1 year ago

I found several songs that have a shorter length than 30s in test dataset.

6d7fa4ee-5a22-465f-870f-523ee0ff68e9.mp3 — 10sec 6d088952-d86a-4d6e-bdab-18106668ebca.mp3 — 10sec 03109232-8e13-4491-b2f6-4f1bddaeacf0.mp3 — 15sec a7db85a4-aa15-4ace-92b3-5747f8b13c1f.mp3 — 19sec adea2feb-9149-4a4d-9827-264c479d4d5e.mp3 — 8sec d2de2c1f-f728-4c7b-910d-0eb67d9598ad.mp3 — 18sec d3ac70bb-ec3a-4801-ba2f-04cdda51dd68.mp3 — 18sec d4f5cff1-b366-42e6-9625-e293c48f1292.mp3 — 14sec f19f7a99-e8c1-433a-814f-4d2c844ac954.mp3 — 27sec f2065669-a926-462b-8944-ba980aaf46f7.mp3 — 27sec

Please check them. Thank you.

1

Posted by hglim  over 1 year ago |  Quote

6d7fa4ee-5a22-465f-870f-523ee0ff68e9.mp3 — 10sec

6d088952-d86a-4d6e-bdab-18106668ebca.mp3 — 10sec

03109232-8e13-4491-b2f6-4f1bddaeacf0.mp3 — 15sec

a7db85a4-aa15-4ace-92b3-5747f8b13c1f.mp3 — 19sec

adea2feb-9149-4a4d-9827-264c479d4d5e.mp3 — 8sec

d2de2c1f-f728-4c7b-910d-0eb67d9598ad.mp3 — 18sec

d3ac70bb-ec3a-4801-ba2f-04cdda51dd68.mp3 — 18sec

d4f5cff1-b366-42e6-9625-e293c48f1292.mp3 — 14sec

f19f7a99-e8c1-433a-814f-4d2c844ac954.mp3 — 27sec

f2065669-a926-462b-8944-ba980aaf46f7.mp3 — 27sec

Posted by Michaël_Defferrard  over 1 year ago |  Quote

Thanks for pointing this out! It’s indeed an error in data preparation. I’ve added a note in the datasets PDF and the list to the fma.py module in the starter kit. Please take into account that clips may be shorter than 30s and predict as is.