Comments (5)
Hello,
The TTS generates segments individually and then combines them into a single audio file. Sometimes, the duration of these segments exceeds the expected timeframe, causing overlap. To compensate, the program accelerates some segments based on their timestamps. Whisper may not always detect precise start and end timestamps, leading to accelerated segments when it shouldn't.
To address this issue, you can adjust the maximum speech acceleration for all segments in:
Advanced Settings
Max Audio Acceleration
The default value is 1.9. You can try other values like 1.5 or 1.0 to disable the acceleration. However, be cautious as this may cause some segments of speech to overlap.
from sonitranslate.
Thanks for the great work! Is it possible to slow down the video itself so that the audio segment comes in at normal speed?
Thank you!
from sonitranslate.
Thanks for the great work! Is it possible to slow down the video itself so that the audio segment comes in at normal speed? Thank you!
At the moment, that feature isn't available, but I'll keep it in mind for future updates. In the meantime, you can slow down the entire video before processing it to achieve the desired effect.
from sonitranslate.
Your answer is as precise as your work! Thanks man :)
Question in passing: are you thinking of porting your script to Pinokio?
from sonitranslate.
I haven't heard of it before, but I'll definitely look into it, thanks!
from sonitranslate.
Related Issues (20)
- Document Translation (No generated SRT file) HOT 2
- Whisper HOT 1
- Tutorial video HOT 2
- Voiceless Track Separation Error HOT 1
- API Keys
- Need Support for FastAPI for the SoniTranslate HOT 3
- Problem with Doc translate (PDF and DOCX)
- AI Dubbing API HOT 1
- Add Background music after done please!
- Stucking after acceleration
- how can I add openai api in the colab version?
- fairseq cant be installed
- Uroman Error!
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- Error splitting into ogg files HOT 1
- Run locally without internet connection
- Error on api call for video translation
- Idea - accepting multiple .srt files, would help a lot
- Idea: Docker version
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