Whistle speech-to-text running fully on an ESP32-S3: hold a button, say a colour in one of 7 languages, the LED does it. No network.
Open-source SenseVoiceSmall model for Mandarin, Cantonese, English, Japanese, and Korean ASR, language ID, emotion recognition, and audio event detection.
Fun-ASR speech recognition models, with native Hugging Face Transformers support for Fun-ASR-Nano and separate FunASR, vLLM and llama.cpp deployment paths.
Optimized ESP32-S3/P4 fully offline speech to text and text to speech system for Micropython and AtomVM, featuring a finetuned STT model for noisy environments, plus a data generation/field capture/model finetuning framework. Includes high performance 4/8bit int kernels for Xtensa/RiscV PIE vector units
Oído: open-vocabulary speech recognition that fits in a $5 ESP32-S3. 3.7% LibriSpeech WER, no cloud, no NPU.
Open source, local, and self-hosted Amazon Echo/Google Home competitive Voice Assistant alternative
Offline speech-to-text on the STM32N6 microcontroller: free English speech recognition on the NPU, no cloud
A modular macro keypad powered by ESP32-S3 with magnetic snap-on expansion modules. Features 8 switchable keymap profiles, voice commands & speech-to-text, USB+BLE dual-mode, LVGL touch display, RGB effects, and a WiFi companion desktop app for visual key mapping, OTA updates, PC monitoring, and script automation.