Zamiana tekstu na mowę offline za pomocą Piper i Kokoro Quiz

Odpowiedzi i wyjaśnienia pojawiają się w miarę rozwiązywania quizu.

1. Co offline TTS robi lokalnie?
   • Transcribes speech into text using downloaded assets
   • Generates speech through a hosted service
   • Generates speech from text using downloaded software and model assets
   • Maps text into phonemes but produces no speech waveform
2. Dlaczego Piper i Kokoro należy oceniać jako odrębne projekty?
   • They are two names for the same model artifact
   • They have separate runtimes, models, packaging and support details
   • Both guarantee every language works equally
   • They use identical hardware requirements
3. Dlaczego zespół musi sprawdzać pobrane licencje na głos lub model, a także licencję na środowisko wykonawcze TTS?
   • Only the runtime's package version needs checking
   • Local playback demonstrates redistribution permission
   • Every voice necessarily inherits the runtime code's exact terms
   • A downloaded voice or model file may have separate terms
4. Która wielkość porównuje czas generowania mowy z czasem trwania generowanego dźwięku?
   • Synthesis time divided by generated audio duration
   • Peak memory divided by model-file size
   • Cold-start time divided by the number of available voices
   • Generated sample rate divided by model parameter count
5. Po co testować reprezentatywny tekst poza krótkim zdaniem demonstracyjnym?
   • A short demo guarantees pronunciation on all names
   • Punctuation has no effect once a voice is downloaded
   • Names, numbers, punctuation and long-form joins can expose failures
   • Long passages necessarily sound identical to isolated sentences
6. What does a model supporting a language establish about every voice?
   • That every voice is equally natural
   • Nothing; verify coverage and quality for the specific voice
   • That each voice can run on a Raspberry Pi
   • That licensing is unrestricted
7. Does offline execution alone prove a voice model may be redistributed commercially?
   • Yes, because no network is involved
   • Yes, if synthesis works locally
   • No; local models cannot be used commercially
   • No; check the exact artifact's terms
8. What should be measured on the intended target device?
   • Startup time, synthesis latency, memory and quality
   • Only steady-state latency while ignoring cold starts
   • Only model-file size as a substitute for memory measurement
   • Only the project's fastest published benchmark