For the Google Summer of Code 2017, several related projects were started to add deep neural networks to PocketSphinx. I was thrilled when I read the news back in May, because improved recognition accuracy would help me a lot.
So I'd love to learn about the outcome! Will some of the results be integrated into PocketSphinx in the near future?
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For the Google Summer of Code 2017, several related projects were started to add deep neural networks to PocketSphinx. I was thrilled when I read the news back in May, because improved recognition accuracy would help me a lot.
So I'd love to learn about the outcome! Will some of the results be integrated into PocketSphinx in the near future?
Created code is here:
https://github.com/cmusphinx/sphinxtrain/pull/14/files
https://github.com/shinigami1494/DNN-For-PocketSphinx
It is semi-finished idea though, needs much more work.
Thanks for the links! I skimmed the repos but I'm afraid that my knowledge in machine learning is much too limited.
Can you give any estimate if and when this will be integrated into PocketSphinx? (Are we talking six months, a year, ...?)
And once it is integrated, will it add complexity to the build process (OpenCL etc), or will the code still be portable C?