You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Currently, the only offline TTS is pyttsx3, which sounds horribly robotic on Ubuntu. coqui_ai/TTS (available on PyPi) has multiple models available that, when downloaded, will work offline. After experimenting with a couple and playing them for a CLV staff member, "tts_models/en/ljspeech/fast_pitch" seems to be promising. It's not quite as good as gtts, but is much better than pyttsx3. And it has sub-0.5s synthesis time.
This issue focuses on implementing that TTS engine, so that we actually have a reasonable-quality offline TTS engine we can switch to if circumstances require (e.g., internet dies right before a study).
The text was updated successfully, but these errors were encountered:
hello-amal
changed the title
Implement good offline TTS
Implement good offline TTS (e.g., coqui_ai/TTS)
Aug 8, 2024
Currently, the only offline TTS is
pyttsx3
, which sounds horribly robotic on Ubuntu. coqui_ai/TTS (available on PyPi) has multiple models available that, when downloaded, will work offline. After experimenting with a couple and playing them for a CLV staff member,"tts_models/en/ljspeech/fast_pitch"
seems to be promising. It's not quite as good asgtts
, but is much better thanpyttsx3
. And it has sub-0.5s synthesis time.This issue focuses on implementing that TTS engine, so that we actually have a reasonable-quality offline TTS engine we can switch to if circumstances require (e.g., internet dies right before a study).
The text was updated successfully, but these errors were encountered: