Quiz buy xaajale ci diir bu gàtt

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

1. Ban jafe-jafe bu mag lañu tëral ngir saafara CTC ngir xàmmee kàddu yi?
   • Liggéeyu kadre audio yiñ segmentewul ngir génne mbind te amul etiketu niveau kadre
   • Komprime fichier audio ngir denc
   • Tekki kàddu yi ci benn làkk dem ci beneen làkk
   • Di dindi bruit bi ci enregistrement yi
2. Lan lañuy jëfandikoo token 'blank' bi ci CTC?
   • Ngir màndargaal njeextalu frase bi yépp kese
   • Ngir wane 'amul génnekaay bu bees fii' ak ngir tàqale ay arafu dëgg yu ñuy baamtu
   • Ngir denc xeetu làkk wi
   • Ngir wane noppalu ci forme onde audio bu njëkk bi
3. naka la CTC di xaymaa perte bi ci transkripsioŋ biñ bëgga am?
   • Dafay tànn benn yoon bu gëna am wërsëg ba noppi bàyyi yeneen yi
   • Dafay méngale valeur pixel yi kaadar par kaadar
   • Dafay boole probabilite yi ci yooni kaadar yi baax yiy wàcci ci mbind miñ bëgga
   • Dafay xayma yaatuwaayu audio bi ci diir bi
4. Lan mooy ñaari sàrt yi CTC di jëfandikoo ngir soppi yoonu kaadar ci bind bu mujj?
   • Bindal araf yu mag yi, ba noppi nga def ay ponksioŋ
   • Delloosi toppalante bi, ba noppi dindi waxin yi
   • Yokk ay bayaal, nga tekki ko ci fonem
   • boole ay araf yu ñuy baamtu yu toppalante, ba noppi nga efaase ay token yu amul dara
5. Ban xalaat bu yomb la CTC standard def ci ay génnam?
   • Bépp kadre buñu wax ni dina am moom boppam ci yeneen yi ci audio bi
   • Sorti yi dañu aju bu bari ci araf yiñ njëkka génne
   • Audio bi dafa wara am guddaay bu mat benn seconde
   • Personaas bu nekk dafay jël benn kaadar
6. Lan moo waral seetlu beam ak xeetu làkk buñ boole di gëna taamu ci dekodage bu bëgg lu bari ci CTC?
   • Dafay gëna gaaw ci bépp aparey
   • Dafay dindi ñàkkum CTC ci xeetu làkk wi ci biir, gëna dëgaral
   • Dina dindi soxla token bu amul dara
   • Dina dindi soxla tàggat reso bi
7. What length constraint does CTC place on an output sequence relative to input frames?
   • The target must always have exactly the same length as the input
   • The target must contain twice as many labels as input frames
   • The target cannot require more output labels than there are input time steps
   • CTC requires a fixed 256-token output
8. How can CTC compute the sum over many valid alignments without explicitly listing every path?
   • By selecting one random path and ignoring all others
   • By running a separate language model for every audio frame
   • By sorting the transcript alphabetically
   • Using a forward-backward dynamic-programming recurrence over an alignment lattice