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Offline Language Learning Voice Recognition Sensor for micro:bit / Arduino / ESP32 - I2C & UART

Offline Language Learning Voice Recognition Sensor for micro:bit / Arduino / ESP32 - I2C & UART

Regular price Dhs. 100.00
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Description

Gravity: offline speech 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. Meanwhile, this voice recognition module compatibility with multiple common controllers enables it to provide a flexible solution for makers and electronics enthusiasts in terms of voice interaction. It can be applied to any application that requires voice control or interaction, such as various smart home appliances, toys, lighting fixtures, and robotics projects, among others.


Self-Learning Function

The voice 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. This innovative design ensures that the owner can promptly meet the cat's dietary needs. Moreover, the product is equipped with excellent noise resistance and long-distance recognition capabilities, allowing for precise identification of the cat's meows even in noisy environments.

User-Friendly

The offline speech recognition sensor boasts a user-friendly design. It comes with 121 built-in fixed command words, eliminating the need for users to record their own voices.

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.


Real-Time Voice Feedback

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 feedback of recognition results.

For instance, one can wake up a voice assistant using a wake-up word, and the assistant promptly responds and begins learning or utilizing command words. When learning or deleting command words, the voice assistant also provides immediate feedback on the success of the operation. This greatly enhances the user's experience and convenience.


High Compatibility

The module boasts high compatibility, supporting both I2C and UART communication methods, while also being compatible with various 3.3V or 5V controllers, such as micro:bit, Arduino (Arduino UNO, Arduino Leonardo, Arduino MEGA), Raspberry Pi, FireBeetle ESP32 series, and more. This provides a flexible solution for building smart home systems, robotics projects, and more.

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 - I2C


 

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

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


The pros and cons of offline and online voice recognition:

 


Pros

Cons

Offline Speech Recognition

1. Quickly respond to corresponding command words and instructions.

2. No need for a network.

3. If speech recognition fails, it will not affect the use of other product functions.

4. More secure privacy, users don't have to worry about their conversation content being recorded and uploaded to the cloud.

5. Small module size, convenient for embedding in applications.

6. Cheaper price.

Command words are fixed, and there may be limitations on the number and length of words.


Online Speech Recognition

1. Consumers are easy to use and not limited to command words.

2. Easy to develop, and there are many solutions in the market.


1. Requires network connection to connect to the cloud.

2. Response speed depends on the network speed.

3. Higher cost.

 

Note: The Gravity: Offline Language Learning Voice Recognition Sensor (SEN0539-EN model) supports English broadcast. Please be aware that if you purchased the product from the DFRobot Chinese official website, it is set for Chinese broadcast.

FEATURES

 

Self-learning function: Control the module to learn command words by the voice, and any audio can be trained as a commandSupport I2C and UART, with a Gravity interfaceCompatible with 3.3V/5VBuilt-in with 121 commonly-used fixed command wordsThe module has a built-in speaker and an interface for an external speaker, which can provide real-time voice feedback on recognition resultsEquipped with power indicator (red) and recognition status indicator (blue)Dual microphones provide better noise resistance and longer recognition distanceCompatible with Arduino controllers: Arduino UNO, Arduino Leonardo, Arduino MEGA, FireBeetle series controllers, Raspberry Pi, ESP32

APPLICATIONS

Voice recognition interactionVoice-controlled terminalCompetition and project development

SPECIFICATION

Operating Voltage: 3.3 - 5VMaximum Operating Current: ≤370 mA (5V)Communication: I2C/UARTI2C Address: 0x64Fixed Command: 121Fixed Wake-up Command: 1Custom Command: 17Learning Activation Command: 1Onboard Microphone Sensitivity: -28dbModule Size: 49×32 mm/1.93×1.26”Operating Temperature: 0-70℃

PROJECTS

Project: Smart Waiter - Intelligent Voice Assistant in Restaurant

Introduction: Restaurant/Hotel Food ordering System using Voice Assistant. Using DFRobot Offline Language Learning Voice Recognition Sensor


Project: Revolutionize Your Automation Game with Blues& DFRobot

Introduction: Build your own home automation system using the Blues Notecard, Notehub, Node-RED, and Qubitro.


Project: Raspberry Pi Pico Tutorial - Voice Recognition Module Sensor

Introduction: This tutorial explores the use of a voice recognition sensor with a Raspberry Pi Pico. The sensor allows interaction with any microcontroller using voice commands. The video demonstrates how to connect the sensor to the Raspberry Pi Pico, create custom command words, and control a relay module board. The sensor's versatility is highlighted, with potential applications in home automation and studio control. The tutorial concludes with a demonstration of voice-controlled relay activation and deactivation.


Review: DFRobot Mystery Box: Choose the Component, Unbox the Review!

Introduction: This video presents an unboxing and review of four intriguing electronic components. The components include a voice recognition module, a fingerprint sensor, a Bluetooth Low Energy (BLE) microcontroller, and a flexible RGB Matrix. Each component is examined in detail, highlighting their features and potential applications. The video concludes with a call to viewers to vote on which component should be reviewed first in a future tutorial.



Project: How to Use Voice Recognition Commands With Arduino!

Introduction: The DFRobot Gravity Offline Voice Recognition Module allows for super fast and easy setup of voice commands for an arduino project!