quiz bu lëkkale ak tegtal · Diggante Niveau

Quiz ngir gis xew-xewu son

Jàngaleel klaas yu son yi ak ay pexe ci waxtu, ak polyphonie, etiketu yu néew doole, DCASE baseline, muñ ndoorte, ak annotation klaas yu ñàkk.

Yooni njiit yu jëm ciGis xew-xewu son
Laaj 1 de 8

What extra output does temporal sound event detection estimate beyond a clip-level tag?

Xoolaatal laaj bu nekk8 laaj

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

  1. What extra output does temporal sound event detection estimate beyond a clip-level tag?
    • Only the audio file’s compression ratio
    • Only its filename’s alphabetical order
    • Event onset and offset boundaries within the clip
    • Only the display color of a waveform
  2. Lan moo waral ñuy wax ni gis xew-xewu son mooy jafe-jafe polyphonic?
    • Ndax notu music rek lay jëfandikoo
    • Ndax son yu bari mën nañu jaxasoo di feeñ benn yoon
    • Ndax dafay laaj mikro yu bari
    • Ndax audio bi dafay nekk stéréo
  3. Luy 'etiketu néew doole' ci done yiñ tàggat ci SED?
    • Etiket yi dañu leen enkripte
    • Kalite audio bi baaxul
    • Son yu woyof yi kese lañuy etikete
    • Clip yi dañuy màndargaal ni xew-xew bi dafa am waaye du ci kañ la
  4. Which classifier structure is identified in the cited DCASE 2024 baseline?
    • A convolutional recurrent neural network with added pretrained frame features
    • Only a static spreadsheet sort
    • Only an unchanged relational database table
    • Only a mandatory image-file compressor
  5. Which time-frequency representation is used in the documented sound-detection baseline context described here?
    • Only a speech transcript
    • A log-mel representation
    • Only a JPEG photograph
    • Only an unchanged output filename
  6. Which cited research challenge supplies the 2018 and 2024 sound-event task settings discussed here?
    • Jeux Olympic yi
    • A retail shopping holiday
    • A mandatory social-network ranking
    • DCASE
  7. Considering only the DCASE 2018 onset collar of 200 ms, does a 1.15 s prediction satisfy it for a 1.00 s reference onset?
    • Yes; the onset error is 150 ms
    • No; the error is 1.15 s
    • No; every predicted onset must be numerically identical
    • Yes; onset errors are never evaluated
  8. In the heterogeneous 2024 task, how does the baseline handle outputs for classes whose annotations are missing in a training dataset?
    • Treats every unannotated class as certainly absent
    • Copies all missing labels from the final test answers
    • Masks those unavailable outputs in the relevant loss computation
    • Eliminates every labeled class from the model