brian-smith-github/ch32v003_stt

Offline speech-to-text on the STM32N6 microcontroller: free English speech recognition on the NPU, no cloud

Speech recognition

Automatic speech recognition (ASR) running on the ESP32-S3 based on a 13.1M parameters convolution transformer.

Live English speech recognition on the ESP32-P4: a 65.7M-parameter streaming transducer in 2/4-bit weights, faster than real time, on the chip alone. With six voice-control demos.

Oído: open-vocabulary speech recognition on a $5 ESP32-S3, faster than real time. No cloud, no NPU. English + Spanish.

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

Espressif intelligent voice assistant

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

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.