Published Paper Details:

hearing loss there are often major obstacles when trying to share ideas with one another. This project has created an assistive communication system utilizing software to respond to these challenges and make communication more accessible. The proposed solution is a unified software platform utilizing both speech to text and text to speech technologies to provide effective communication between individuals with disabilities who have different methods of communicating. The system works by capturing sound from a user's voice via a microphone (capturing the audio) and converting it into text so that a user who cannot hear can read and understand what was said by the other user. Conversely, when a user who does not have vision inputs text, the system converts the text input into audio (speech) so that the visually impaired user can hear and understand what was said. The software is written in Python and makes use of several Python libraries including Speech Recognition for recognizing speech accurately and pyttsx3 for converting text into speech that sounds as natural as possible. This system is built to be low cost, easy to use and simple to set up without requiring any specialized hardware. This system can provide meaningful communication between individuals with disabilities nearly instantly, supporting fluid, real-time conversations. The performance testing showed the system provides good accuracy and performance under normal conditions and some performance limitations exist when there is significant noise present or the input is unclear. This system supports communication, increases independence and supports inclusive communities for those with visual or auditory impairments. This system also has a high probability of being used in real-world settings in many education, healthcare and daily communication environments, with future development possibilities such as multilingual support and advanced noise handling capabilities.