Technical Performance and Optimization Recommendations for Speech Recognition
According to actual test data, Flash Memory's speech-to-text function can reach an accuracy rate of more than 90% in an ideal environment (quiet place, standard Mandarin, clear pronunciation), and it also has a certain ability to recognize dialects and professional terms. Its technical highlights include:
- Supports real-time rewrite latency of less than 1 second
- Automatically distinguishes between different speakers (requires multiplayer mode)
- Intelligent filtering of intonation and duplicate content
For best results, user attention is advised:
- Select the corresponding language in the device settings (Chinese and English need to be set separately)
- Keep the microphone about 15cm away from your mouth to avoid breathing sound interference
- Complex technical terms can be corrected manually after the fact, and the system will gradually improve the recognition rate through machine learning.
It should be noted that this feature is dependent on network quality and may switch to local processing mode in weak network environments, at which point the accuracy will be slightly reduced.
This answer comes from the articleNail Flash Memo: the smart note-taking tool for quick recording and sharingThe
May not be reproduced without permission:AI productivity tools " What exact accuracy rate does Flash Memory's speech-to-text feature achieve? What are the precautions for using it?
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