Projekt głosu AI na podstawie quizu z opisami tekstowymi

Odpowiedzi i wyjaśnienia pojawiają się w miarę rozwiązywania quizu.

1. What is the core difference between voice design and voice cloning?
   • Voice design needs more sample audio than cloning
   • Voice design creates a new voice from a text description, while cloning reproduces a specific speaker from reference audio
   • Cloning works only in English
   • Voice design can only make robotic-sounding voices
2. Why is training data a major challenge for voice design models?
   • Speech audio is illegal to store
   • Models need speech paired with descriptions, and hand labeling large amounts is expensive
   • Descriptions must be written in code
   • Voice models cannot learn from more than one speaker
3. How did the 2024 Stability AI and Edinburgh approach create descriptions at scale?
   • By hiring voice actors to describe themselves
   • By automatically measuring attributes like pitch and speaking rate and having a language model turn them into sentences
   • By copying descriptions from audiobook covers
   • By using only synthetic speech
4. An instruction that tells a preset voice to sound more excited mainly changes what?
   • Voice identity
   • Delivery
   • The underlying codec
   • The speaker's accent training data
5. Why might two generations from the same description produce different voices?
   • The model samples one of many voices consistent with the text
   • The description is ignored after the first use
   • Audio codecs randomly change language
   • The model always adds background music
6. In production, how do you keep a designed voice consistent across an audiobook?
   • Rewrite the description for every chapter
   • Save the chosen speaker embedding, latent or reference clip and fix the seed
   • Lower the audio sample rate
   • Switch to a different model each chapter
7. In Parler-TTS, how does the description influence generation?
   • It is converted into a reference audio clip
   • It is encoded by a frozen T5-family encoder and used through cross-attention
   • It sets only the volume of the output
   • It is appended to the end of the waveform
8. Which statement about designed voices is accurate?
   • A designed voice can never resemble a real person
   • Designed voices need no disclosure because no one was cloned
   • A designed voice can resemble a real person by chance, and many services block prompts naming real people
   • Designed voices can only speak one sentence