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We are using deep-learning models which have much better accuracy for the speech recognition

I understand that the project is using AI, but why not feed that learning into sphinx, or some other tool? Couldn't this product have just been essentially an extension to make one of those other open source, research-backed efforts smarter?

How does any other project benefit from the models you build? Or is that the business model -- produce open source software that no one else can really extend or use with anything else, but hopefully people will then buy into your modelling strategy + tooling?

I do realize that you have absolutely no obligation to any other voice recognition effort, but I wonder how easy it is for anyone else to use the model you're building.

Sphinx has its own models, it is not easy to extend it with the frameworks we are using

We will be open-sourcing more of the platform over time and give back to the community, this will start with the NLU in the coming weeks

Thanks so much for being open about it, I see why you didn't go with trying to extend it.

Again, I want to express that you don't owe me anything (and it was entitled of me to imply that you did) -- but I wanted to know. Maybe in the future writing that thing that can enrich other models is possible.

> deep-learning models

What kind of models do you use ?

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