Engaging with our surroundings through voice control has emerged as an increasingly intriguing aspect. This technology is gaining prevalence in our daily lives, whether applied in smart homes, mobile phones, or the control of comfort features in vehicles. The pertinent inquiry is whether voice control will find its place in the production industry, as its reliability remains a critical concern. This project showcases an alternative approach to voice processing by integrating Arabic speech recognition in MIT App Inventor for voice command control. In this setup, voice signals undergo processing, enabling the operation of a LED light circuit through Bluetooth technology. The voice command is given in Arabic through the smartphone device having Bluetooth and the command is transferred and converted to string by the BT Voice Control for Arduino and is transferred to the Bluetooth Module connected to the Arduino board for the control of the LED light circuit. The voice command Arabic is given through a Smartphone device.
as it plays a crucial role in enhancing accessibility for
individuals with disabilities. Voice control empowers
The voice control known as voice recognition or voice users to engage with technology irrespective of
physicommand, is a cutting-edge technology that enables users cal limitations, fostering inclusivity and equal access to
to interact with devices, applications, and systems using digital resources [
0000-0002-2146-650X (A. Bakri); 0000-0003-2649-4419 (K. Lounnas); 0000-0003-0584-1389 (M. Lichouri) The success rate of the wheelchair in recognizing voice © 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License commands in English, Chinese, and Malay was high. In Attribution 4.0 International (CC BY 4.0).
Voice recognition
MIT App
Inventor
Voice input
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In this paper, we have implemented a voice command control system in Arabic through an MIT inventor in Smartphone with a microcontroller (Arduino). The Arduino board serves as the brain of the operation, exe- for our project: cuting commands received from the Bluetooth module.
The programming logic on the Arduino enables it to
interpret these commands and control the attached LED
lights circuit accordingly. The HC-05 Bluetooth
module acts as the bridge between the Arduino and the MIT
App on the Android device. It facilitates wireless
communication, allowing users to send commands from the
app to the Arduino remotely. The MIT App incorporate
voice recognition technology, given the mention of
commands issued through MIT App [
Bluetooth model Microcontrôleur
Arduino Electronic circuit
MIT App Inventor, you’ll need a set of hardware components. Here’s a list of essential hardware components for such a system:
1. Arduino Board: Functions as the microcontroller, responsible for executing commands received from the MIT App Inventor.
2. Bluetooth Module (e.g., HC-05): Acts as a wireless communication bridge between the Arduino and the smartphone.
3. Android Smartphone: Hosts the MIT App Inventor application and serves as the user interface for interacting with the voice command system.
4. LEDs or Output Devices: Include LEDs or other output devices that can be controlled by the Arduino. These devices will respond to voice commands, demonstrating the system’s functionality.
5. Suitable resistors to protect the LEDs or output devices used from overcurrent.
In this project, we are merging two elements: hardware and software. So, according to this, we must be mindful of each action that must be taken. As we code in the microcontroller and for the software, we must be mindful of the application’s development process and, of course, the hardware that is attached to it. We will use the SDLC (Systems development life cycle) technique to show the hardware and software development processes. The following are some of the steps that we followed for our project, which included the creation of the application (software) as well as the development of the hardware.
We are working on a graphical user interface (GUI) program for translating speech to text and transmitting commands via the internet / Bluetooth. This GUI will show for the user to utilize while performing a certain task by speech. Our project’s software development is specialized in taking input and converting it to computer readable format (text), after which the voice is to be delivered over the Internet/Bluetooth to the Arduino board and the action is to be done.
it was created by MIT. This web-based IDE will enable online code execution. It can only be used to develop Android software. We choose this since we can create an application in a distinctive and superior manner. Additionally, creating applications with graphical logics, methods, and functions is more enjoyable.
The instruction must go to Arduino to conduct an action after the application’s speech to text conversion procedure is complete. In order to do this, we have an intelligent Arduino Uno that can carry out incoming commands. Since the microcontroller is used to manage the house utilities in accordance with the instruction obtained from the user’s mobile application, programming was done in it to enable it to comprehend and carry out the incoming orders. Because the code we used in Arduino and the code in the application are perfectly compatible in terms of understanding one another, the same reference code is run as intended and an action is taken with regard to the home utilities.
the Android MIT App Inventor was conducted with four predetermined commands. All commands were executed successfully, aligning with the predefined instructions. The synchronization between the LED light receiver and the Android transmitter (mobile phone) was achieved at varying distances, with the maximum operational range determined to be 1 meters, contingent on the specific location. The culmination of this project is exemplified in the figure showcasing the final voice-controlled manipulator, as illustrated in Figure 4. Once the Arduino programming is finalized, the essential connections for the LED lights circuit are established. This process involves linking the Android application developed with MIT App Inventor and the Bluetooth module (HC-05).
Within the MIT App Inventor interface, users can seamlessly issue commands that are then transmitted to the Bluetooth module. Subsequently, the Arduino interprets and processes these commands, converting them into digital signals to control the LED lights.It’s noteworthy that this system has been specifically tested for speech commands in Arabic, and the flexibility of the MIT App Inventor allows for potential extensions to cater to specific applications. This adaptability underlines the project’s potential for further customization and expansion, making it a versatile and scalable solution for various contexts.
The voice commands are interpreted and translated to string and provided to the Arduino that in turn produces and actuates the LED lights circuit accordingly as shown in Table 1. The testing also demonstrated that there was no significant diference in rate speech recognition RSR between male and female. Action designing a simple and eficient automatic speech recognition system for isolated command words to satisfy the motion control of an LED lights for diferently abled persons is the interest of this project. The processing units (the speech kit and the microcontroller) are directly attached to the LED lights in one package that made the design representing a complete autonomous and smart LED lights. The speech recognizer is tested to prove its performance to generate exact movement of the LED lights. It proved a recognition rate RSR of above 87.75%
demonstrated its reliability and eficacy in Arabic speech control of LED lights. By enabling control through a MIT App Inventor application smartphone, this project serves as an empowering tool for diferently-abled and elderly individuals, fostering self-dependency and enhancing their overall quality of life. The implementation of this technology represents a significant stride toward establishing inclusive and accessible environments for those facing mobility challenges. The successful development and testing of this Smart Electronic project mark a meaningful contribution to the field of assistive technology, promising broad benefits for diverse users. Looking ahead, future work could involve training a machine learning model to enhance the accuracy of Arabic speech recognition progressively, adapting to various accents and speech patterns. This advancement would contribute to a more personalized and eficient user experience. Additionally, expanding the project to control other smart devices within a home automation system could create a more comprehensive voice-controlled environment, further improving the convenience and accessibility of daily tasks.