Shopping Cart  Now in your cart 0 items  
Shopping Cart:  0 items
Sub-Total:
$0.00
  1. Your cart is empty.
Gravity: Offline Language Learning Voice Recognition Sensor for Arduino / Raspberry Pi / Python / ESP32 - I2C & UART
  • Gravity Offline Language Learning Voice Recognition Sensor with I2C & UART Compatibility for Arduino, Raspberry Pi, Python, and ESP32

ships free
SALE

Gravity: Offline Language Learning Voice Recognition Sensor for Arduino / Raspberry Pi / Python / ESP32 - I2C & UART

$28.64  $15.00
Save: 48% off

100% Original Products

90 Days Easy Returns View More Return Policy

Free standard home delivery on all orders

Ship to me Available In Stock

Product Details

Voice recognition is a cool computer technology. It can turn speech signals into editable text or operational commands. This means you can interact with your computer just by speaking, no need for a mouse or keyboard! It's used in many places like voice assistants, smart homes, voice searches, and voice - recognition notebooks. The Gravity Offline Voice Recognition Sensor is built around an offline voice - recognition chip. You can use it without an internet connection. It has 121 built - in fixed command words and supports adding 17 custom command words. You can even train any sound, like whistling or a cat meow, as a command. This gives a lot of flexibility to interactive audio projects. The module has a dual - microphone design. It resists noise better and has a longer recognition distance, so it's accurate and reliable even in noisy places. It comes with a built - in speaker and an external speaker interface for real - time voice feedback of recognition results. It uses both I2C and UART communication methods and works with various 3.3V or 5V controllers, such as Arduino UNO, Arduino Leonardo, Arduino MEGA, and FireBeetle series. This voice - recognition module is great for makers and electronics enthusiasts. It can be used in all sorts of applications where voice control or interaction is needed, like smart home appliances, toys, lamps, and robotics projects. When it comes to voice recognition, the voice database is important. Online voice databases are in the cloud and have a lot of data, while offline ones are local and have limited space. Offline voice recognition has pros like quick response, no need for a network, privacy protection, small size, and lower cost. But the command words are fixed. Online voice recognition is easy to use and develop, but it needs a network and has a higher cost. Features of this sensor include a self - learning function, support for I2C and UART with a Gravity interface, compatibility with 3.3V/5V, 121 built - in common fixed command words, a built - in speaker and external speaker interface, power and recognition status indicators, dual microphones for better performance, and compatibility with many controllers. It can be used for voice - recognition interaction, voice - controlled terminals, and competition and project development. Specifications: Operating Voltage: 3.3 - 5V Maximum Operating Current: ≤370 mA (5V) Communication: I2C/UART I2C 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” Documents: Product wiki Shipping List: Gravity Voice Recognition Module - I2C & UART x1, Gravity - 4P I2C/UART Sensor Connector x1

Using this Gravity Offline Voice Recognition Sensor is easy. First, connect it to your controller (like Arduino or Raspberry Pi) using the provided Gravity - 4P I2C/UART Sensor Connector. Make sure to check the wiring diagrams for I2C or UART connections according to your needs. Once it's connected, power it up. The red power indicator will light up, showing it's getting power. Then, you can start using the built - in 121 fixed command words right away. If you want to use custom commands, use the self - learning function. Just speak the command you want to train, and the module will learn it. When using it, keep in mind that the recognition might be affected by very loud background noise, but the dual - microphone design helps reduce this impact. Also, since it's an offline sensor, the command words are fixed, so plan your commands in advance. For maintenance, keep the module clean and dry. Avoid exposing it to extreme temperatures or humidity. If you're not using it for a long time, store it in a safe place. And if you have any problems, refer to the product wiki for more information.
We Think You May Like
Fiber Optic Fabric - Black (30x30cm)
$35.00$60.97

Chiclet Sound Kit
$49.00$84.20
MEMS microphone sensor
$11.00$21.94



Copyright (C) www.freedoshvs.com 2025 All Rights Reserved.
TOP