Multilingual Audio Processing Best Practices
A systematic solution to the problem of pronunciation:
- Speech model selection:
- Check the list of supported languages
GET https://text.pollinations.ai/models - Chinese Recommendations
voice=alloyJapanese Recommendationsvoice=shimmer
- Check the list of supported languages
- Text Preprocessing:
- Add pronunciation marks: "Tokyo (とうきょう) Tower"
- Segmentation Generation: Splitting Long Text into Semantic Paragraphs
- Use the pinyin aid: "Hello (ni hao)"
- Technology Program:
- The POST request explicitly specifies the language parameter:
{"language":"ja-JP"} - Add language code to the call:
?model=openai-audio&language=zh-CN
- The POST request explicitly specifies the language parameter:
- Post-processing:
- Adjusting the speed of speech using tools such as Audacity
- Merge multiple audio segments via FFmpeg
Additional suggestion: Multiple versions could be generated for manual screening of key content.
This answer comes from the articlePollinations: free big model services in the form of URL splicing and APIsThe
May not be reproduced without permission:AI productivity tools " How to avoid multilingual pronunciation errors in audio generation?
