Tacotron 2 Quiz

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

1. Ndeipi inomiririra yepakati iyo Tacotron 2 inofanotaura kubva pane zvinyorwa?
   • A mel-spectrogram
   • Mufananidzo weJPEG
   • Raw text phonemes chete
   • A MIDI faira
2. Chii chinoshandura Tacotron 2's spectrogram kuita waveform chaiyo?
   • Chiperengo chekuongorora
   • Yakagadziridzwa WaveNet vocoder
   • Injini yekutsvaga
   • A convolutional image classifier
3. Ndeipi dambudziko rinobatsira kudzivirira nzvimbo?
   • Kupisa iyo GPU
   • Kurasikirwa kweinternet
   • Akadzokororwa kana kusvetuka mazwi panguva yekubatanidza
   • Kukanganisa kwezviperengo mumashoko ekuisa
4. How does Tacotron 2 determine that it has generated the end of an utterance?
   • A human must press a button for every utterance
   • It always generates a fixed number of frames
   • The vocoder detects silence and interrupts the decoder
   • A learned stop-token prediction signals the decoder to stop
5. Ndeapi akazara maitiro ekuvaka anoshandiswa nemavara-kune-spectrogram chikamu?
   • Kutevedzana-kune-kutevedzana nehanya
   • Tafura yekutarisa iri nyore
   • Muti wesarudzo
   • A static rule set
6. Ndeupi wepashure modhi inokurumidza, isiri-autoregressive mutsivi mumweya kuTacotron 2?
   • ResNet
   • FastSpeech 2
   • BERT
   • AlexNet
7. What does the post-net in Tacotron 2 refine?
   • The input text spelling
   • The speaker’s identity metadata
   • The predicted mel-spectrogram
   • The final transcript punctuation
8. What does FastSpeech 2 add as conditioning information for speech variation?
   • A video soundtrack transcript only
   • A random microphone serial number
   • A mandatory image embedding
   • Pitch, energy, and more accurate duration information