I would like to share the news that we just managed to run the subproject sherpa-ncnn of next-gen Kaldi on VisionFive2 for real-time speech recognition with a USB microphone.
You can find the documentation at
https://k2-fsa.github.io/sherpa/ncnn/examples/vision-five-2.html
Everything is open-source, i.e., the code, the model, the data, and the documentation, etc.
The video demo is available at
新一代Kaldi + RISC-V: VisionFive2 上的实时中英文语音识别不需要访问网络,完全本地识别。完全开源。微信公众号: 新一代 Kaldi微信交流群:请关注公众号,加工作人员微信,邀请进群QQ 群:744602236, 视频播放量 1、弹幕量 0、点赞数 0、投硬币枚数 0、收藏人数 0、转发人数 0, 视频作者 csukuangfj, 作者简介 https://github.com/csukuangfj 新一代Kaldi 开源语音识别框架开发者之一,相关视频:新一代Kaldi...
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Have you tried the same thing on the Raspberry pi 4? If so, how do they compare?
I have tried it on Raspberry Pi 4 Model B, which is faster than VisionFive2 and it can also run a larger model in real time.
VisionFive2 can only run a smaller model in real time.
By real-time, I mean the RTF is less than 1.
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