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http://dx.doi.org/10.9708/jksci.2021.26.12.105

A Design and Implementation of Speech Recognition and Synthetic Application for Hearing-Impairment  

Kim, Woo-Lin (Dept. of Computer Science & Engineering, Inha Technical College)
Ham, Hye-Won (Dept. of Computer Science & Engineering, Inha Technical College)
Yun, Sang-Un (Dept. of Applied Artificial Intelligence, Hanyang University)
Lee, Won Joo (Dept. of Computer Science & Engineering, Inha Technical College)
Abstract
In this paper, we design and implement an Android mobile application that helps hearing impaired people communicate based on STT(Speech-to-Text) and TTS(Text-to-Speech) APIs and accelerometer sensor of a smartphone. This application provides the ability to record what the hearing-Impairment person's interlocutor is saying with a microphone, convert it to text using the STT API, and display it to the hearing-Impairment person. In addition. In addition, when a hearing-impaired person inputs a text using the TTS API, it is converted into voice and told to the interlocutor. When a hearing-impaired person shakes their smartphone, an accelerometer based background service function is provided to run the application. The application implemented in this paper provides a function that allows hearing impaired people to communicate easily with other people when communicating with others without using sign language as a video call.
Keywords
Google Cloud Platform; STT(Speech-to-Text); TTS(Text-to-Speech); Accelerometer sensor;
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  • Reference
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