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Show HN: I open-sourced my AI toy company that runs on ESP32 and OpenAI realtime

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177 points akadeb | 1 comments | 22 Apr 25 14:10 UTC | HN request time: 0.221s | source

Hi HN! Last year the project I launched here got a lot of good feedback on creating speech to speech AI on the ESP32. Recently I revamped the whole stack, iterated on that feedback and made our project fully open-source—all of the client, hardware, firmware code.

This Github repo turns an ESP32-S3 into a realtime AI speech companion using the OpenAI Realtime API, Arduino WebSockets, Deno Edge Functions, and a full-stack web interface. You can talk to your own custom AI character, and it responds instantly.

I couldn't find a resource that helped set up a reliable, secure websocket (WSS) AI speech to speech service. While there are several useful Text-To-Speech (TTS) and Speech-To-Text (STT) repos out there, I believe none gets Speech-To-Speech right. OpenAI launched an embedded-repo late last year which sets up WebRTC with ESP-IDF. However, it's not beginner friendly and doesn't have a server side component for business logic.

This repo is an attempt at solving the above pains and creating a great speech to speech experience on Arduino with Secure Websockets using Edge Servers (with Deno/Supabase Edge Functions) for fast global connectivity and low latency.

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drakenot ◴[22 Apr 25 15:41 UTC] No.43763477[source]▶
Something that really kills the 'effect' of most of the Voice > AI demos that I see is the cold start / latency.

The OpenAI "Voice Mode" is closer, but when we can have near instantaneous and natural back and forth voice mode, that will be a big in terms of it feeling magical. Today, it is say something, awkwardly wait N seconds then listen to the reply and sometimes awkwardly interrupt it.

Even if the models were no smarter than they are today, if we could crack that "conversational" piece and performance piece, it would be a big difference in my opinion.

replies(3): >>43763547 #>>43764293 #>>43770877 #
1. akadeb ◴[22 Apr 25 17:12 UTC] No.43764293[source]▶
Yeah the way I am handling this is turn detection which feels unnatural. I like how Livekit handles turn detection with a small model[0][1] [0]https://www.youtube.com/watch?v=EYDrSSEP0h0 [1]https://docs.livekit.io/agents/build/turns/turn-detector/

``` turn_detection: { type: "server_vad", threshold: 0.4, prefix_padding_ms: 400, silence_duration_ms: 1000, }, ```