Advancements in Speech-to-Text Systems for the Hearing Impaired

Speech is one of the most important types of communication among the human beings. Speech recognition is one of the most widely used applications of speech processing. Developing a automatic speech recognition (ASR) system is a stimulating task and Deaf people are prone to experience difficulties with tasks that involve communication. Wearable technology has played a significant role in evaluating and researching systems developed for hearing impaired community. This paper presents a system based on Google speech recognition library designed to assist Deaf people with live transcription of others voices, thereby using it as a communication assistant. The microphone embedded to the system (microcontroller) grasps the audio (voice) signals that are nearby the user wearing the spectacles, which is analyzed using the Google Speech-to-Text (Google speech recognition) library. The analyzed voice signals are displayed on an organic light-emitting diode (OLED) screen which mounted to the spectacles. The collaboration of all these technologies, along with AI, AR and IoT technologies, would assist hearing impaired people in finding solutions to their problems.