Application Scenario Requirements
In scenarios such as airplanes and remote mountainous areas where traditional cloud services are unavailable, BreezeApp's offline voice recognition provides the perfect solution.
Implementation steps
- Pre-download language packs: Go to Settings - Language Support when there is internet connection, and download the "Traditional Chinese + English" mixed recognition package (about 120MB).
- Optimize recording quality::
- Keep your cell phone 15-20cm from your mouth
- Avoid ambient echoes (microphone pointing mode can be used in the car)
- Enable "Noise Reduction Enhancement
- Segmentation techniques: Each recording is no more than 30 seconds, and the recognition accuracy can be improved by 40%
Special Scene Handling
- Industry Terminology: Add specialized vocabulary (legal/medical, etc.) in Settings - Custom Thesaurus
- Accent adaptation: Improve the recognition rate by recording a 5-minute sample with the "Speech Training" function.
- mixed language: Enable "Chinese/English auto-detection" mode to handle code exchanges and other scenarios.
Emergency program
If a complex statement is encountered and recognized incorrectly, it can be transcribed in a simple statement first and then semantically corrected and supplemented by a text chatbot.
This answer comes from the articleBreezeApp: the app that runs offline AI features on your phoneThe
May not be reproduced without permission:AI productivity tools " How to achieve reliable speech-to-text functionality in a network-less environment?
