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DFRobot Offline Language Learning Voice Recognition Sensor (I2C & UART)
The DFRobot Offline Language Learning Voice Recognition Sensor (I2C & UART) by DFRobot is a mid-range df robot modules designed for everyday users. It features Operating Current (mA): ≤370 mA (5V) and Communication Mode: I2C/UART.
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About This Product
The DFRobot Offline Language Learning Voice Recognition Sensor (I2C & UART) by DFRobot is a mid-range df robot modules designed for everyday users. It delivers reliable performance at an accessible price.
Key Specifications
- Operating Current (mA): ≤370 mA (5V)
- Communication Mode: I2C/UART
- I2C Address: 0x64
- Microphone sensitivity: -28db
- Module Size: 49×32 mm/1.93×1.26”
- Weight (g): 16
- Shipping Weight: 0.035 kg
- Shipping Dimensions: 8 × 7 × 3 cm
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This is DFRobot Gravity: Offline Language Learning Voice Recognition Sensor for Arduino / Raspberry Pi / Python / ESP32 - I2C & UART. This Gravity: Offline Voice Recognition Sensor is built around an offline voice recognition chip, which can be directly used without an internet connection. It comes with 121 built-in fixed command words 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.
Voice recognition is a computer technology that recognizes and converts speech signals into editable text or operational commands through analysis. It allows people to interact with computers by speaking without using a mouse, keyboard, or other input devices. Voice recognition technology has been widely used in applications such as voice assistants, smart homes, voice search, and voice recognition notebooks.
The 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 feedback of recognition results. The module uses both I2C and UART communication methods and supports various 3.3V or 5V controllers, including the micro:bit, Arduino (Arduino UNO, Arduino Leonardo, Arduino MEGA), Raspberry Pi, FireBeetle series, and more.
This voice recognition module provides a reliable and flexible voice interaction solution for makers and electronics enthusiasts, and it can be applied to any applications where voice control or interaction is desirable, such as all kinds of smart home appliances, toys, lamps, and robotics projects.
Features:
- Self-learning function: Control the module to learn command words by the voice, and any audio can be trained as a command
- Support I2C and UART, with a Gravity interface
- Compatible with 3.3V/5V
- Built-in with 121 commonly-used fixed command words
- The module has a built-in speaker and an interface for an external speaker, which can provide real-time voice feedback on recognition results
- Equipped with power indicator (red) and recognition status indicator (blue)
- Dual microphones provide better noise resistance and longer recognition distance
- Compatible with Arduino controllers: Arduino UNO, Arduino Leonardo, Arduino MEGA, FireBeetle series controllers, Raspberry Pi, ESP32
Useful Links:
Library Files: https://github.com/DFRobot/DFRobot_DF2301Q DFRobot Gravity: Offline Language Learning Voice Recognition Sensor
Package Includes:
1 x DFRobot Gravity: Offline Language Learning Voice Recognition Sensor for Arduino / Raspberry Pi / Python / ESP32 - I2C & UART
1 x Gravity-4P I2C/UART Sensor Connector
