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sherpa-onnx已更新到最新版本1.10.44 使用一条音频循环播放500次,每次间隔 5 秒,测试环境为偏安静。使用keyword-spotter-from-microphone.py运行,唤醒率只有90%左右,理论上应该是100%的。同样,我基于keyword-spotter改写成伪流式的版本,唤醒率则达到100%。请问有什么潜在的原因导致实时唤醒的成功率下降吗?
The text was updated successfully, but these errors were encountered:
跑的那个Python脚本,是否是最新版?
不是仅仅使用pip install sherpa-onnx,你还要单独更新跑的代码
Sorry, something went wrong.
跑的那个Python脚本,是否是最新版? 不是仅仅使用pip install sherpa-onnx,你还要单独更新跑的代码
是的,代码也是最新的。
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sherpa-onnx已更新到最新版本1.10.44
使用一条音频循环播放500次,每次间隔 5 秒,测试环境为偏安静。使用keyword-spotter-from-microphone.py运行,唤醒率只有90%左右,理论上应该是100%的。同样,我基于keyword-spotter改写成伪流式的版本,唤醒率则达到100%。请问有什么潜在的原因导致实时唤醒的成功率下降吗?
The text was updated successfully, but these errors were encountered: