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Thank you #1

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dpny518 opened this issue Sep 4, 2019 · 5 comments
Closed

Thank you #1

dpny518 opened this issue Sep 4, 2019 · 5 comments

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@dpny518
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dpny518 commented Sep 4, 2019

Waiting patiently for your excellent work

@nanaghartey
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nanaghartey commented Sep 4, 2019

This is gold! Thanks @nshmyrev . However, although I was able to run on my device, the accuracy was poor. I kept getting wrong results.

@nshmyrev
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nshmyrev commented Sep 4, 2019

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 nshmyrev closed this as completed Sep 4, 2019
@dpny518
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dpny518 commented Sep 5, 2019

@nshmyrev would it be possible for you to open source your jni non-compilled code, also some guide on how you did it?

@nshmyrev
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nshmyrev commented Sep 5, 2019

@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.

@dpny518
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dpny518 commented Sep 5, 2019

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

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