Idanwo ti o sopọ mọ itọsọna · Alabọde Ipele

Iṣe deede Ọrọ fun adanwo Ọrọ

Test speech text normalization: expanding numbers and symbols, classifying tokens, resolving context, and using rules or neural models.

Jẹmọ itọsọna awọn ọnaIṣe deede Ọrọ Fun Ọrọ
Ibeere 1 ti 8

Kini isọdọtun ọrọ fun ọrọ ni akọkọ ṣe?

Awotẹlẹ gbogbo ibeere8 ibeere

Awọn idahun ati awọn alaye han bi o ṣe n mu ibeere naa.

  1. Kini isọdọtun ọrọ fun ọrọ ni akọkọ ṣe?
    • Ṣe atunṣe ọrọ kikọ sinu awọn ọrọ ti a sọ ni kikun
    • Compresses iwe awọn faili
    • Tumọ ọrọ si ede miiran
    • Ṣe awari imolara agbọrọsọ
  2. Bawo ni eto ti o dara ṣe yẹ ki o ṣe deede '$5' fun ọrọ sisọ?
    • 'dola marun'
    • 'dola marun'
    • 'S marun'
    • 'ogorun marun'
  3. Kini idi ti o ṣe deede tokini bi 'Dr.' tabi 'IV' ẹtan?
    • Awọn ami wọnyi nigbagbogbo n sọ ni ọna kanna
    • Wọn ko ni awọn lẹta ninu
    • Imugboroosi wọn ti o pe da lori ọrọ-ọrọ
    • Wọn ti wa ni lilo nikan ni isiro
  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. Ni deede isọdi-aye, kini ipa ti yiyan ami ami kan ni 'kilasi ologbele'?
    • O mu ohun agbọrọsọ
    • O ṣe aami ami ami naa (fun apẹẹrẹ, ọjọ, owo, iwọn) nitorina a lo olusọ ọrọ ti o tọ
    • O compress awọn ọrọ
    • O yọ gbogbo awọn aami ifamisi kuro
  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