How can KrillinAI be effectively applied in education and training scenarios for course multilingualization?

2025-08-26

1.4 K

Educational Scene Implementation Program

The following workflow is recommended for the specific needs of instructional videos:

pre-course preparation
1. Pre-populated subject thesaurus (e.g., math symbols, technical terms) in config.toml
2. Maintain clear pronunciation and appropriate speed of speech when recording
3. Prepare teacher voice samples for cloning (if needed to maintain tonal uniformity)
core processing
- Ensure translation accuracy with the "Term Replacement" function
- Turn on "Smart Segmentation" to match subtitles to the pace of the presentation.
- Select an academic style voiceover voice (e.g. CosyVoice standard male voice)
Outputs
- Generate multilingual subtitle files with chapter markers
- Exporting the dubbed individual tracks for post-production editing
- Original language subtitles are retained for cross-referencing

Multi-version management: Distinguish between different language versions by task_id
Supplementary Instruction: Output un-dubbed subtitle files for student listening practice
quality control: Calibrating Translation Accuracy Using the AliCloud bailian Big Model

This answer comes from the articleKrillinAIThe