The DF2301QG offline voice recognition module is shown connected to an Arduino clone over I2C board, but it could support any other hardware with UART or I2C including other Arduino boards, Raspberry ...

Bringing speech recognition to the low-power microcontroller you’d find in an Arduino sounds like the work of a mad scientist or Ph.D. candidate, but that’s exactly what [Arjo Chakravarty] did.

Circuit Diagram for this voice recognition using Arduino is given below. Fritzing part for Arduino 33 BLE was not available, so I used Arduino Nano as both have the same pinout. The Positive lead of ...

This repository contains an Arduino sketch and a Python script that work together to capture audio from a WWZMB microphone connected to an Arduino, send the audio data over serial communication, and ...

The algorithm implemented on the working of the hardware is pretty simple and straight-forward. The user has to connect the HC05 Bluetooth Module with the Android Meets Robot App via Bluetooth using a ...

The Nicla Voice is compatible with Arduino Portenta and MKR boards and can be programmed with the Arduino IDE, Arduino CLI, or Arduino Web Editor. You’ll find instructions to get started and more ...

The Bluetooth Controlled Speech Recognition Unit: This bad boy is simple, and easy to use. With the help of the free AMR_Voice App, you can control 10x Arduino compatible outputs.

Then you'll need Android Meets Robots, an app that lets you pair voice recognition with any Bluetooth module. From there, it's just about pairing the two together and creating your own commands.

To achieve this, the Arduino Nano was kitted out with a DFRobot Gravity voice recognition module. It’s a super simple way to do voice recognition—it’s an entirely offline solution with no ...

To implement the design, Arduino Mega2560, Easy VR3 speech recognition module, SIM900A GSM module and relay based motor controller circuits are used along with the wheelchair. The designed wheelchair ...

This paper represents the design of an Arduino based voice controlled automated wheelchair. The design is developed with a voice recognition system, which allows the physically disabled person to ...