Introduction

The Offline Speech Recognition Module is an efficient solution ideal for human-computer interaction, machine learning, voice assistants, and smart home voice control projects. It is easy to use and compatible with Arduino, micro:bit, and ESP32, with detailed tutorials provided. It offers plug-and-play functionality through I2C and UART. The module features 121 built-in command words commonly used in education and smart home settings and supports 17 customized commands (e.g., recording a cat's meow for an automatic feeder). The module is highly integrated, including an onboard speaker and microphone, providing real-time voice feedback.

Easy to Use

The offline voice module is simple and compatible with existing platforms like Arduino UNO, micro:bit, and ESP32, with detailed Arduino IDE tutorials and Makecode tutorials. It supports plug-and-play through I2C and UART communication methods, allowing easy integration into projects.

121 Ready-to-Use Words

The built-in commands are commonly used in educational and smart home scenarios, allowing for immediate use without any configuration, such as "Play music," "Open the door," "Turn on the light," and "Close the window." Here is the full list of command words.

Self-Learning Function

The self-learning function is user-friendly, allowing users to add 17 customized command words. Any language or sound can be trained as a command, providing great flexibility for interactive audio projects.

Teaching the device new commands is simple. Activate the learning mode with the wake-up word, then say "Learning command word," and repeat the desired command three times. After these steps, the device will have learned the new command. Detailed instructions are provided to ensure an easy learning process.

No Internet Connection, More Secure

Users need not worry about their conversations being recorded and uploaded to the cloud. The module functions seamlessly in outdoor projects, schools, and other environments with unstable networks. Unlike existing online voice assistants that rely on cloud platforms and require internet access, potentially compromising device data privacy during use.

High Integration, Saving More Space

The offline voice module integrates an onboard speaker and microphone. High integration saves space and eliminates the hassle of complicated wiring, enhancing the project's neatness and stability.

Real-Time Voice Feedback

Users can immediately receive recognition results during use, improving user experience and convenience.

The Offline Speech Recognition Module is an easy-to-use, highly integrated solution perfect for various projects, offering 121 built-in commands, 17 customized commands, real-time voice feedback, and secure offline operation without the need for an internet connection.

Photos

Specification

Operating Voltage: 3.3 - 5V
Maximum Operating Current: ≤370 mA (5V)
Communication: I2C/UART
I2C Address: 0x64
Fixed Commands: 121
Fixed Wake-up Command: 1
Custom Commands: 17
Learning Activation Command: 1
Onboard Microphone Sensitivity: -28dB
Module Size: 49×32 mm / 1.93×1.26”
Operating Temperature: 0-70℃

Figure: Wiring Diagram of Voice Recognition Module, Arduino Uno, and LED Light Module - I2C

Figure: Wiring Diagram of Voice Recognition Module, Arduino Uno, and LED Light Module - UART

Properly connect the micro:bit motherboard and IO expansion board, and set the communication mode selection switch of the voice recognition module to I2C end according to the diagram below, then connect it to the expansion board.

Project 2: Raspberry Pi Pico Tutorial - Voice Recognition Module Sensor
(https://youtu.be/k7IjKCNlVqk)
Introduction: Unlock the potential of voice commands using the Raspberry Pi Pico and DFROBOT's voice recognition sensor. This tutorial guides you through setting up the module, creating custom commands, and controlling devices with simple voice interactions, all without internet reliance.

Project3: Build a Voice-Controlled SOS System
(https://youtu.be/NK1D6nIVpms)
Introduction: Learn how to create a life-saving Voice-Controlled SOS System using M5StickC and DFRobot’s Voice Recognition Sensor. This DIY project is perfect for ensuring the safety of seniors at home. With voice commands and instant Telegram alerts, you’ll be able to respond to emergencies swiftly.

Review: Unlocking Creativity: DFROBOT Offline Voice Recognition Module
(https://youtu.be/RLhK_yZynYI)
Introduction: Discover why the DFRobot offline voice recognition module is hailed as one of the best in electronics, enabling seamless voice-controlled automation without internet reliance.