Elevator Control Using Speech Recognition for People with Physical Disabilities

Computer Engineering

This proposed system that will be useful for people with incapacities, to be specific lifts constrained by voice. Disability is someone who does not have a complete hand organ or hand organs but does not function properly, but the person can still use voice to control the elevator. The research combines speech recognition technology with machine learning to make the elevator control equipment that can be controlled by voice. Speech Recognition is a system that functions to convert spoken language into input data. The system input is human speech. The system will identify spoken words to input data for control equipment. Control of this hardware requires an exact word and can only recognize some words. These proposed systems are usually more accurate and more easily trained but could not recognize words that are beyond vocabulary ever taught. This system uses a python programming language and machine learning libraries with Raspberry pi 3B+. The word can be trained for more than hundreds of words.

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