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Is Julius really state-of-the-art? Looks like they use n-gram and HMMs. Those were the methods that achieve SotA 5+ years ago. My understanding is that Google and Microsoft are using end-to-end (or nearly) neural network models; these outperformed the older methods a few years ago. Not sure how CMUSphinx works under the hood.

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They might not be considered state-of-the-art (if you consider both approaches in the same category), but they are definitely one valid approach to voice recognition, which works surprisingly well.

CMUSphinx is not a neural network based system, they do use language and acoustic modeling.

check out https://github.com/yajiemiao/eesen for LSTM and CTC based library instead of HMMs

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