Technical realization process
- speech recognition: Extracting source language text using ASR models such as Whisper
- semantic translation: Contextualized translation (non-literal direct translation) through the GPT model
- Voiceover Optimization: Automatically adjusts speech rate to match original video duration during TTS synthesis
- subtitle synchronization: Ensures accurate subtitle timeline based on phoneme alignment technology
Quality control mechanisms
- Provide translation proofreading interface to support manual correction of key terms
- Setting of "Translation Confidence Threshold" to filter low-quality segments
- Supports the import of specialized domain thesauri (e.g., medical, legal, etc.)
- Video mouth simulation function (experimental) to enhance the viewing experience
This answer comes from the articleShortGPT: An Artificial Intelligence Framework for Automatic Short Video GenerationThe
May not be reproduced without permission:AI productivity tools " How does ShortGPT's video translation engine work? How is its accuracy guaranteed?
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