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A Design and Implementation of The Deep Learning-Based Senior Care Service Application Using AI Speaker

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2024, 29(4), pp.23-30
  • DOI : 10.9708/jksci.2024.29.04.023
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : March 25, 2024
  • Accepted : April 19, 2024
  • Published : April 30, 2024

Mun Seop Yun 1 Sang Hyuk Yoon 2 Ki Won Lee 3 Se Hoon Kim 4 Min Woo Lee 5 Ho-Young Kwak 6 Won Joo Lee 7

1전남대학교
2한국항공대학교
3고려대학교
4서울대학교
5수원대학교
6제주대학교
7인하공업전문대학

Accredited

ABSTRACT

In this paper, we propose a deep learning-based personalized senior care service application. The proposed application uses Speech to Text technology to convert the user's speech into text and uses it as input to Autogen, an interactive multi-agent large-scale language model developed by Microsoft, for user convenience. Autogen uses data from previous conversations between the senior and ChatBot to understand the other user's intent and respond to the response, and then uses a back-end agent to create a wish list, a shared calendar, and a greeting message with the other user's voice through a deep learning model for voice cloning. Additionally, the application can perform home IoT services with SKT's AI speaker (NUGU). The proposed application is expected to contribute to future AI-based senior care technology.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.