Guide-yakabatana mibvunzo · Pakati Nhanho

Manyorero Normalization for Speech Quiz

Yedza manyorerwo ekutaura mameseji: kuwedzera nhamba nezviratidzo, kurongedza tokens, kugadzirisa mamiriro, uye kushandisa mitemo kana neural modhi.

Nzira dzekutungamira dzinoenderanaText Normalization Pakutaura
Mubvunzo 1 ye 8

Chii chinoita kuti zvinyorwa zvigadziriswe pakutaura zvinonyanya kuita?

Tarisa mubvunzo wese8 mibvunzo

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

  1. Chii chinoita kuti zvinyorwa zvigadziriswe pakutaura zvinonyanya kuita?
    • Anonyora patsva mashoko akanyorwa kuti ave mazwi akanyatsotaurwa
    • Inodzvanya mafaira ekuteerera
    • Inoshandura zvinyorwa kuenda kune mumwe mutauro
    • Inoona manzwiro emutauri
  2. Iyo yakanaka system inofanirwa kugadzirisa sei '$5' pakutaura?
    • 'dollar shanu'
    • 'madhora mashanu'
    • 'Zvishanu'
    • 'muzana mashanu'
  3. Sei normalizing chiratidzo se 'Dr.' kana kuti 'IV' inonyengera?
    • Aya ma tokens anogara achidudzwa nenzira imwechete
    • Havana mavara
    • Kuwedzera kwavo kwakarurama kunoenderana nemamiriro ezvinhu
    • Dzinongoshandiswa mumasvomhu
  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. Muchinyakare normalization, ndeipi basa rekugovera chiratidzo 'semiotic kirasi'?
    • Inotora inzwi remutauri
    • Inoisa chiratidzo (semuenzaniso, zuva, mari, chiyero) saka verbalizer chaiyo inoshandiswa.
    • Inodzvanya zvinyorwa
    • Inobvisa nyora dzese
  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