rhasspy VS rhino

I've been working on this for a few months now and I think I have it to a point where I am ready to share. This is definitely a very niche solution but I am creating a new skill handler for Grocy for the Open Source Voice Assistant Rhasspy (https://github.com/rhasspy/rhasspy). My handler is here: https://github.com/MCHellspawn/hermes-app-grocy. It is not complete yet but getting there. With is skill and a working Rhasspy 2.5 setup you can do a lot of tasks in Grocy with your voice. So far you can create and delete shopping lists, create products and add and remove them from shopping lists, list chores, mark them complete or skipped, and more.

It'll run on a cheap Ubuntu box if you can't get a Pi.

And lots of people seem to like Rhasspy too:

  https://github.com/rhasspy/rhasspy

Here is one example https://community.rhasspy.org/

I tried Amazon's Alexa, the top end model with a display. Often it would taunt you about new/interesting things on the screen, but I could never get them to work. I'd had to memorize things to get even the basics working. Ended up unplugging it.

However Google's Assistant in comparison worked great, no memorization, and very useful. Sure time, weather, set timers, and alarms worked great with a very flexible set of natural language queries. Even more complex things like what will be the temperature tomorrow at 10pm, simple calculations and unit conversions. But also things like IMDB like queries about directors, actors, which movies someone was in, etc generally worked well. It seemed to really understand things, not just "A web search returned ...". Even more complex things like the wheelbase of a 2004 WRX would return an answer, not a search result.

With all that said I'm looking for a non-cloud/on site solution, even if it requires more work, most recently noticed https://github.com/rhasspy/rhasspy

I just found this one: https://github.com/rhasspy/rhasspy

Download pre-trained models: "Porcupine" from Porcupine Wake Word and Video Player Context from Rhino Speech-to-Intent repositories - You can also train a custom models on Picovoice Console.

In order to initialize the voice AI, we’ll need both Porcupine (.ppn) and Rhino (.rhn) model files. Picovoice has made several pre-trained Porcupine and pre-trained Rhino models available on the Picovoice GitHub repositories. For this Barista app, we’re going to use the trigger phrase Hey Barista and the Coffee Maker context.

Get an AccessKey for free from Picovoice Console. You will need it as part of the init function. Also, get the English Parameter for Rhino from GitHub and save it to the public directory. Rhino uses this file as the basis to understand English context (other languages are also supported).

The only viable option that I found that could reliably infer commands from speech is https://github.com/Picovoice/rhino

Unfortunately it is not open source (the GitHub just has binary blobs) and requires an account to log in to generate and download model files, but the accuracy is great and you can use it to send commands to Home Assistant to turn lights on/off etc.

https://github.com/Picovoice/rhino/blob/master/LICENSE sayt it's Apache 2 license