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DFRobot

DFRobot Gravity: Voice Recognition Sensor 121 Pre-Programmed Offline Language Learning Sensor For Micro: Bit / Arduino / ESP32 - I2C & UART

DFRobot Gravity: Voice Recognition Sensor 121 Pre-Programmed Offline Language Learning Sensor For Micro: Bit / Arduino / ESP32 - I2C & UART

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Description:

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.

Specifications:

  • 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℃

Features:

  • User-Friendly: Plug and play, compatible with Arduino UNO, micro: bit, and ESP32.
  • 121 Pre-Programmed Commands: Ready for immediate use without any setup.
  • Self-Learning Capability: Supports the addition of 17 customized command words.
  • Offline Operation, Enhanced Privacy: No network required.
  • High Integration: Includes an onboard speaker and microphone.
  • Instant Voice Feedback: Provides real-time recognition results.

Projects:

Introduction: Learn how to harness the power of voice recognition with Arduino, creating custom commands for an interactive project using the DFROBOT module, all without needing an internet connection.

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.

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.

Applications:

  • Voice recognition interaction
  • Voice-controlled terminal
  • Competition and project development

Useful Links:

Package Included:

  • 1 x Gravity: Voice Recognition Module - I2C & UART
  • 1 x Gravity-4P I2C/UART Sensor Connector

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