3 ms·

Train a custom wakeword with this? https://github.com/TaterTotterson/microWakeWord-Trainer-Nvidia-Docker https://github.com/TaterTotterson/microWakeWord-Trainer

• JohnTheNerd 8mo ago
  or if you have an Apple Silicon Mac, this: https://github.com/TaterTotterson/microWakeWord-Trainer-AppleSilicon https://github.com/TaterTotterson/microWakeWord-Trainer-Appl... I used it personally, did a lot of research (including asking questions to the creator of microWakeWord), and submitted an upstream PR (I think it's already merged), which improved the resulting model slightly. I imagine the Nvidia version is similar, but I don't have experience with it. I also noticed that the model is so small (~25000 parameters), the actual training part doesn't even noticably improve with the GPU, only the TTS voice generation really only uses it. if you are using this, I strongly recommend you create lots of personal samples with the recorder. I personally used 400, 200 from myself and 200 from my partner, with varying moods and in all the rooms we plan on using the assistant. I am considering re-training with more samples. it takes effort, but the resulting model seems to be well worth it.
  • stavros 8mo ago
    Oh wow, 200 each? I just deployed it to the device, but I trained with 10. I'll need to redo it if it doesn't work well, but so far so good.