Product description Gravity: Offline Language Learning Voice Recognition Sensor for micro:bit / Arduino / ESP32 - I2C & UART
This Voice Recognition Sensor is an efficient solution, perfect for applications such as human-computer interaction, machine learning, voice assistants, and smart home voice control projects. It is user-friendly and compatible with Arduino, micro:bit, and ESP32, with detailed tutorials available for easy integration. The offline voice module supports plug-and-play functionality through I2C and UART interfaces. With 121 built-in command words commonly used in education and smart home settings, as well as the ability to add 17 customized commands (e.g., recording a cat's meow for an automatic feeder), the offline speech recognition module offers great versatility. It is highly integrated, featuring an onboard speaker and microphone that provide real-time voice response.
Easy to Use
This DFRobot voice recognition sensor is compatible with common controllers such as micro:bit, Arduino Uno/Leonardo/MEGA, ESP32 and Raspberry Pi, with detailed online Arduino IDE tutorials and Makecode tutorials. No matter what you have on hand, you can quickly begin your project or bring your idea to life.
It supports plug-and-play through I2C and UART communication methods, allowing easy integration into projects.
- Compatible with Popular Controllers such as micro:bit, Arduino Uno/Leonardo/MEGA, ESP32 and Raspberry Pi
- Use Makecode for programming
- Support I2C and UART communication method
121 built-in fixed command words
The offline voice recognition sensor comes with 121 built-in fixed command words, including Open the door, Close the window, Turn off the light, Play music and so on. The built-in commands are commonly used in educational and smart home scenarios, allowing for immediate use without any configuration.
For instance, in an intelligent window system, when it starts to rain or thunder, there's no need for manual window operation. The offline voice recognition module can recognize the pre-set command word "close the window," triggering the automatic closing of the window to cope with sudden weather changes.
Self-Learning Function+ Support 17 Custom Command Words
The voice recognition module is equipped with a self-learning function and supports the addition of 17 custom command words. Any language or sound can be trained as a command, providing great flexibility for interactive audio projects.
To learn new command words, use a wake-up word, say "Learning command word," and repeat the desired command three times. Detailed instructions are provided for learning the voice commands.
For instance automatic pet feeder. When a cat emits a meow, the offline voice recognition module can recognize the meow and trigger the feeder to automatically provide food for the cat. This innovative design ensures that the owner can promptly meet the cat's dietary needs.
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.
No network required
- This voice recognition sensor can be used without the need for a network connection, making it suitable for various settings. It provides fast response to specific command words and instructions.
- Moreover, the onboard MCU is equipped with voice recognition algorithms, ensuring that conversations are not recorded or uploaded to the cloud, thus ensuring greater privacy and security.
Real-Time Voice response
- The language learning voice recognition module features a dual microphone design with better noise resistance and a longer recognition distance, making it relatively accurate and reliable even in noisy environments. It comes with a built-in speaker and an external speaker interface for real-time voice response of recognition results.
SPECIFICATION Operating Voltage 3.3 - 5V Maximum Operating Current ≤370 mA (5V) Communication I2C/UART 2C Address 0x64 Fixed Command 121 Fixed Wake-up Command 1 Custom Command 17 Learning Activation Command 1 Onboard Microphone Sensitivity -28db Module Size 49×32 mm/1.93×1.26”
- 【Easy to Use】: This voice recognition sensor is compatible with micro:bit, Arduino Uno and ESP32, with detailed online Arduino IDE tutorials and Makecode tutorials. It supports plug-and-play through I2C and UART communication methods, allowing easy integration into projects.
- 【121 built-in fixed command words】: The offline voice recognition sensor comes with 121 built-in fixed command words, allowing for immediate use without any configuration, such as "Play music," "Open the door," "Turn on the light," and "Close the window". For instance, in an intelligent window system, when it starts to rain or thunder, there's no need for manual window operation. The offline voice recognition module can recognize the pre-set command word "close the window," triggering the automatic closing of the window to cope with sudden weather changes.
- 【Self-Learning Function+Adding 17 Custom Command Words】: This Offline Speech Recognition Module is equipped with a self-learning function and supports the addition of 17 custom command words. Any sound could be trained as a command, such as whistling, snapping, or even cat meows, which brings great flexibility to interactive audio projects. For instance automatic pet feeder. When a cat emits a meow, the offline voice recognition module can recognize the meow and trigger the feeder to automatically provide food for the cat.
- 【No network required】: This voice recognition sensor can be used without the need for a network connection, making it suitable for various settings. It provides fast response to specific command words and instructions. Moreover, the onboard MCU is equipped with voice recognition algorithms, ensuring that conversations are not recorded or uploaded to the cloud, thus ensuring greater privacy and security.
- 【Integrated Microphone and Speaker with Compact Size】: The offline voice module features an onboard speaker and microphone, providing a high level of integration that saves space and eliminates the need for complex wiring. With its compact size of only 49×32 mm, it is convenient for seamless integration into various applications.
