> Speech recognition doesn't work like that, there's no yacc/lex for you to just "run locally"
Why not? It _could_:
> In our recent paper, "Streaming End-to-End Speech Recognition for Mobile Devices", we present a model trained using RNN transducer (RNN-T) technology that is compact enough to reside on a phone. This means no more network latency or spottiness — the new recognizer is always available, even when you are offline. [...]
> The RNN-T we trained offers the same accuracy as the traditional server-based models
Why not? It _could_:
> In our recent paper, "Streaming End-to-End Speech Recognition for Mobile Devices", we present a model trained using RNN transducer (RNN-T) technology that is compact enough to reside on a phone. This means no more network latency or spottiness — the new recognizer is always available, even when you are offline. [...]
> The RNN-T we trained offers the same accuracy as the traditional server-based models
https://ai.googleblog.com/2019/03/an-all-neural-on-device-sp...