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Normalisasioŋu mbind ngir quiz wax

Test normalisasioŋ bind kàddu: yaatal nimero ak màndarga, xaaj token, saafara muy wax, ak jëfandikoo sàrt wala model neuronal.

Yooni njiit yu jëm ciNormalisasioŋ Teks ngir Wax
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Lan mooy njëkka def normalisasioŋ text ngir wax?

Xoolaatal laaj bu nekk8 laaj

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

  1. Lan mooy njëkka def normalisasioŋ text ngir wax?
    • Bindaat mbind mu bind ci kàddu yuñ mëna wax
    • Dafay komprime fichier audio yi
    • Dafay tekki mbind ci beneen làkk
    • Dafay gis yëg-yëgu ki wax
  2. naka lay def ba sistem bu baax mëna normalisee '$5' ngir wax?
    • 'juróomi dolaar'
    • 'juróomi dolaar'
    • 'S juroom'
    • 'jiroom ci teemeer bo jél'
  3. Lu tax ñuy normalise ab token bu mel ni 'Dr.' wala 'IV' lu jaxasoo?
    • Token yooyu dañu leen di waxe ci anam wu wuute
    • Amu ñu benn araf
    • Seen yaatal bu jaar yoon mingi aju ci muy tekki
    • ci math kese lañu leen di jëfandikoo
  4. What data did the cited neural text-normalization study use to evaluate its models?
    • Unlabeled phone audio only
    • Medical records annotated by clinicians
    • A small set of manually written code snippets
    • English and Russian Wikipedia sentences verbalized by Google TTS’s Kestrel system
  5. What safeguard against unrecoverable errors does the cited neural text-normalization paper discuss?
    • WFST-based covering grammars
    • Removing the reference transcript
    • Replacing all token classes with a speech waveform
    • Using image segmentation at inference
  6. Ci normalisasioŋ bu yàgg bi, lan mooy njariñu jox benn token 'klaas semiotik'?
    • Dafay tànn baat kiy wax
    • Dafay etikete token bi (lu melni, bis, xaalis, natt) suko defee ñu jëfandikoo verbalizer bu dëggu bi
    • Dafay kompresse mbind mi
    • Dina dindi bépp ponksioŋ
  7. In the Kestrel TTS normalization system, what follows tokenization and classification?
    • A speaker diarization pass labels voices
    • A vocoder renders the waveform
    • A verbalization stage applies grammars to turn classified tokens into spoken forms
    • An image model recognizes the page layout
  8. Why can English and Russian text require different normalization grammars?
    • Every language uses identical number and date formats
    • Language has no effect on spoken forms
    • Russian text cannot be normalized for speech
    • Written conventions and verbalization rules vary by language