esp-web-tools VS vosk-api

Some feedback to make your project easier to install and integrate better with Home Assistant (I'm the founder):

Home Assistant is building a voice assistant as part of our Year of the Voice theme. https://www.home-assistant.io/blog/2023/04/27/year-of-the-vo...

As part of our recent chapter 2 milestone, we introduced new Assist Pipelines. This allows users to configure multiple voice assistants. Your project is using the old "conversation" API. Instead it should use our new assist pipelines API. Docs: https://developers.home-assistant.io/docs/voice/pipelines/

You can even off-load the STT and TTS fully to Home Assistant and only focus on wake words.

You will see a lot higher adoption rate if users can just buy the ESP BOX and install the software on it without installing/compiling stuff. That's exactly why we created ESP Web Tools. It offers projects to offer browser-based installation directly from their website. https://esphome.github.io/esp-web-tools/

If you're going the ESP Web Tools route (and you should!), we've also created Improv Wi-Fi, a small protocol to configure Wi-Fi on the ESP device. This will allow ESP Web Tools to offer an onboarding wizard in the browser once the software has been installed. More info at https://www.improv-wifi.com/

Good luck!

Note: if anyone else wants to make an installer website like this, it’s called ESP Web Tools and open source: https://esphome.github.io/esp-web-tools/

ESP Web Tools uses WebSerial to allow users to install, update and manage firmware running on ESP microcontrollers: https://esphome.github.io/esp-web-tools/

If you want to make the project even more accessible, consider setting up a GitHub pages with ESP Web Tools: https://esphome.github.io/esp-web-tools/

Instead of esptool suggestions, use ESP web tools and your whole flow can be web based. https://esphome.github.io/esp-web-tools/

So I don't know if my issue comes from my lack of knowledge of discord.js/voice or VOSK. so I guess the most important thing I need to see is if I am creating a proper stream for the Vosk API to capture the audio. if I can figure out how to capture an audio stream I can probably import that in to vosk and figure out how to use vosk myself. but right now I can't even get close! Thank you in advance...Sorry if this isn't the right place for this

I remember a while ago checking out the issues with Vosk speech recognition (written in C). A handful of it's issues are related to segfaults and null pointers.

first, good initiative! thanks for sharing. i think you gotta be more diligent and careful with the problem statement.

checking the weather in Sofia, Bulgaria requires cloud, current information. it's not "random speech". ESP SR capability issues don't mean that you cannot process it locally.

the comment was on "voice processing" i.e. sending speech to the cloud, not sending a call request to get the weather information.

besides, local intent detection, beyond 400 commands, there are great local STT options, working better than most cloud STTs for "random speech"

https://github.com/alphacep/vosk-api

I did a one-off text to speech tool for someone last year and had pretty good results with VOSK. One upside is that it works offline, although I imagine if you use TTS a lot you'll notice issues I didn't.

You can use vosk-api (https://github.com/alphacep/vosk-api) to listen to your audio, transform it to text, and then post the text to GPT-3, then using the vector sdk, have your responses said by vector.

The set up script wants to download https://github.com/alphacep/vosk-api/releases/download/v0.3.45/vosk-model-en-v0.3.45.zip, but this resource is not found. AFAICT all releases never contained a model file. Remedy: hardcode one model from https://alphacephei.com/vosk/models. I guessed and picked the one with the closest name, vosk-model-en-us-0.22.zip, just so I could continue.