rhino VS voicetunes

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

Here’s the solution I built for that, with a combination of on-device voice control, and a Bluetooth remote: https://github.com/lukifer/voicetunes

Something I’d still like to add is a USB OTG emulation of iOS/Android/iPod/etc, so that the currently playing track shows on the dash, steering wheel controls can be used, etc, but my last experimentation a couple years ago didn’t go anywhere. (All the open source stuff for emulating CarPlay and Android Auto seem to be for the other direction: the dash, not the device.)

Offline voice-controlled jukebox using RPi via Mopidy, and just pushed a branch with Mac support via iTunes/Music.app

https://github.com/lukifer/voicetunes

I can vouch for Rhasspy, it's an amazing and flexible piece of software, though it does require some setup and tech knowledge (albeit with a usable web GUI); and it's very DIY on defining the actual voice commands. I recommend pairing it with Node-RED [0] for routing commands to devices, it has plugins for most things.

The only thing I struggled with was getting the wake-word config right: I could never find the right balance point where it responded every time, without also having annoying false positives, so I ended up turning it off. It does support multiple wake-word engines; I'm gonna have another go with Picovoice Porcupine now that they're opened up custom wake-word training for free.

I'm most heavily experienced with Rhasspy's sister project, voice2json [1], which I used to build a voice-controlled car jukebox [2], and it's been working fantastically. (It triggers from a Bluetooth remote, so no wake-word issues.)

For hardware, Raspberry 3/4 perform quite well, and strong recommend for ReSpeaker [3] for audio (either usb or 4-mic hat).

[0] https://nodered.org/

[1] http://voice2json.org/

[2] https://github.com/lukifer/voicetunes

[3] https://www.seeedstudio.com/category/Speech-Recognition-c-44...