torch、CUDA版本以及其他python包安装,参考wenet官方文档:https://github.com/mobvoi/wenet
根据exp/unified_conformer/train.yaml中的描述补全cmvn_file、checkpoint、dict等关键文件,默认模型为16k采样率数据训练所得。
在正确的环境下直接执行python demo.py,默认执行offline的识别。如要修改为录音解码模式请取消demo.py文件112行注释。
This project forked from jiay7/wenet_onlinedecode
Went online decode demo
torch、CUDA版本以及其他python包安装,参考wenet官方文档:https://github.com/mobvoi/wenet
根据exp/unified_conformer/train.yaml中的描述补全cmvn_file、checkpoint、dict等关键文件,默认模型为16k采样率数据训练所得。
在正确的环境下直接执行python demo.py,默认执行offline的识别。如要修改为录音解码模式请取消demo.py文件112行注释。
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