Ask HN: Non-cloud voice recognition for home use?

I'd like a home-based voice recognition without some off-site cloud.

I'd like a kind of echo dot like thing running on a set of raspberry pi devices each with a microphone and speaker. Ideally they'd be all over the house. I'm happy if they talk back via wifi to a server in my office for whatever real processing. The server might have 16 cores and 128Gb ram. Might even have two of these if required.

What options do I have? What limits? I'd really prefer answers from people who have experiences with the various options.

If it helps I'm happy to reduce vocabulary to a dictionary of words as long as I can add more words as necessary. Training is also ok. I've already analysed my voice conversations with an echo dot and the vocabulary isn't that large.

Please remember: home use, no off-site clouds. I'm not interested in options involving even a free voice speech-to-text cloud. This eliminates google voice recognition, amazon etc. They are great but out of scope.

So far I've identified CMU Sphinx as a candidate but I'm sure there are others.

Ideas?

Have you considered the Almond integration for Home Assistant? (https://www.home-assistant.io/integrations/almond/)

Alternatively, you could just fork the Almond project directly and take it from there: https://github.com/stanford-oval/almond-cloud

I've had some good experience with https://snips.ai . Works like advertised. easy to implement. Hardest thing was getting the microphone and the pie to get along.

Google has papers on device speech recognition, these are used in the keyboard & for live caption on Pixel devices.

Mozilla DeepSpeech trained on the Common Voice dataset for English. You can get pretrained models too. They have a nice matrix channel where you can get help, and pretty good documentation. It is also actively developed by several engineers. http://voice.mozilla.org/en/datasets and http://github.com/mozilla/DeepSpeech/