Five Strategies for Improving Speech Recognition Accuracy
wukong-robot integrates with various ASR engines, which can significantly improve the recognition effect by the following methods:
- Engine Selection Strategy::
existconfig.ymlIt is recommended to switch between different engines in the
- Online scenarios: Baidu/Xunfei (API key required)
- Offline scenarios: OpenAI Whisper (higher arithmetic required) - Environmental noise reduction treatments::
Install the noise suppression module:sudo apt install libwebrtc-audio-processing1
Enabling VAD (Voice Activity Detection) in the configuration file - Personalized tuning::
1. For dialect users: training of proprietary speech models in Baidu/Xunfei consoles
2. Adjustmentsspeech>energy_thresholdParametric filtering of background noise
Advanced options include: external directional microphones, adding echo cancellation modules (e.g. speexdsp), or running on high-performance hardware such as the Raspberry Pi 4B. Regularly test the recognition rate in different scenarios and record logs for analysis that can be targeted for optimization.
This answer comes from the articlewukong-robot: a smart speaker project to create personalized Chinese voice conversationsThe
May not be reproduced without permission:AI productivity tools " How to optimize the speech recognition accuracy of wukong-robot?
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