quiz bu lëkkale ak tegtal · Diggante Niveau

Kaddu yu Gaaw ak Quiz TTS budul dellu ginaaw

Saytu defar spectrogram paralel, yaatuwaayu diir bi, FastSpeech 2 pitch ak kondisioneer energie, ak kompromis yi.

Laaj 1 de 8

Luy 'budul dellu ginaaw' ci wàllu FastSpeech?

Xoolaatal laaj bu nekk8 laaj

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

  1. Luy 'budul dellu ginaaw' ci wàllu FastSpeech?
    • Dafay defar kadre spectrogram yépp ci paralel te baña toppalante
    • Dafay defar ay kadre audio benn-benn ci toppalante
    • Mënul jëfandikoo frase yu gudd
    • Soxlawolen ay done tàggat
  2. Ban jafe-jafe ci xeetu dellu ginaaw bu melni Tacotron 2 la FastSpeech gëna wax ci?
    • Mënul defar benn audio
    • Generation bu yeex ak tëb wala baamtu kàddu yu bawoo ci njuumti bàyyi xel
    • Ñàkum ndimbal ci mbindu angale
    • Dafay laaj jumtukaayi kwantum
  3. Lan mooy wareefu 'régulatëru guddaay' ci FastSpeech?
    • Dafay kompresse fichier audio bi mujj
    • Dafay dindi noppi ci enregistrement yi
    • Dafay baamtu fonem bu nekk ci diir biñu ko séentu ngir méngoo ak guddaayu audio bi
    • Dafay tekki fonem yi ci mbind
  4. Which additional speech variations does FastSpeech 2 condition on during training and inference?
    • Only speaker age and recording location
    • Video frames and subtitle color
    • A single fixed global loudness value
    • Pitch, energy, and duration information
  5. Lan moo waral diiru inference bu FastSpeech di yokk bu baax ak guddaayu frase bi?
    • Kadre yépp ñu ngi leen di defar ci paralel du ñu toppalante
    • Dafay baña bàyyi xel ci mbind yiñ dugal
    • Benn clip rek lay génne
    • Dafay jëfandikoo tablo seetlu frase yuñ njëkka enregistre
  6. How does the length regulator use predicted durations in FastSpeech?
    • It selects the final audio codec
    • It expands phoneme-level representations to align with the target spectrogram length
    • It estimates the speaker’s identity from video
    • It converts text into a sequence of labels for translation
  7. What is one tradeoff of non-autoregressive spectrogram generation?
    • It guarantees identical prosody to an autoregressive model
    • It removes the need for a waveform vocoder
    • Parallel output can be faster, but duration and speech variation must be modeled explicitly
    • It cannot accept text as input
  8. What training target does FastSpeech 2 use instead of FastSpeech’s teacher-generated simplified outputs?
    • Only predicted durations with no acoustic target
    • A translated text transcript
    • The output of a GAN discriminator only
    • Ground-truth target speech representations