Build an Offline ESP32 Voice Assistant (Speech-to-Text Without Internet)

📰 Dev.to · David Thomas

Learn to build an offline ESP32 voice assistant that can perform speech-to-text without internet connection, using machine learning and embedded systems

intermediate Published 24 Apr 2026

Action Steps

Choose an ESP32 board and set up the development environment using Arduino IDE or ESP-IDF
Install the necessary libraries and frameworks for speech recognition, such as TensorFlow Lite or Edge Impulse
Train and deploy a machine learning model for speech recognition using a dataset of voice commands
Integrate the speech recognition model with the ESP32 board and implement the voice assistant functionality
Test and refine the voice assistant to improve its accuracy and responsiveness

Who Needs to Know This

This project is ideal for embedded systems engineers, machine learning engineers, and IoT developers who want to create voice-controlled devices without relying on cloud services. The team can benefit from this project by learning how to integrate speech recognition capabilities into their devices, enhancing user experience and interaction.

Key Insight

💡 By using machine learning and embedded systems, it's possible to create a voice assistant that can perform speech-to-text without relying on cloud services, enhancing user privacy and experience.