For multi-language scenarios such as mixed Chinese and English, Spokenly provides intelligent solutions:
- Enable the 『Automatic Language Detection』 function (default on), the system will automatically recognize the language switch.
- For professional scenarios, preference is given to cloud-based advanced models (e.g., GPT-4o), whose multilingual hybrid recognition accuracy is more than 30% higher than that of local models.
- When there is a deviation in recognizing a specific language, you can temporarily force the designation of a primary language: turn off auto-detection in Settings > Language and manually select the dominant language.
- For key terms, a short pause or increase in volume during voice input can be used to help the system more accurately recognize language transition points.
Empirical tests show that the cloud model can recognize mixed Chinese and English utterances with an accuracy of up to 92%, which is suitable for professional scenarios such as international conference proceedings.
This answer comes from the articleSpokenly: a speech-to-text tool for macOSThe
May not be reproduced without permission:AI productivity tools " How to Solve the Speech Recognition Accuracy Problem in Mixed Multilingual Scenarios
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