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Thank you #1
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This is gold! Thanks @nshmyrev . However, although I was able to run on my device, the accuracy was poor. I kept getting wrong results. |
Thank you, colleagues. On accuracy, the model is not optimized yet, very small model would work (10-20 words, small nnet) but large model like aspire not yet, it will require some mobile device optimization. Stay tuned. |
@nshmyrev would it be possible for you to open source your jni non-compilled code, also some guide on how you did it? |
@yondu22 everything is open, https://github.com/alphacep/kaldi-android contains the project to build aar. The kaldi libraries are compiled with https://github.com/jcsilva/docker-kaldi-android with minor tweaks which I will be merging into kaldi-android too. |
thank you, I just saw that repo. Your work is awesome and gold as nana says. If you add wake word, and improve the tts serving capabilities, your git will be a one stop voice asr house ha |
Waiting patiently for your excellent work
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