Promoting Mental Self-Disclosure in a Spoken Dialogue System

M. Rohmatillah, B. Aditya, L. J. Yang, B. G. Ngo, W. Sulaiman, J. T. Chien

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations

Abstract

This paper proposes a mental health spoken dialogue to relax mental illness for university students by acting as an active listener to promote self-disclosure. The proposed system is designed for Mandarin with the specific accent and lexicon in Taiwan which is known as one of the underrepresented spoken languages. To achieve the objective, this work considers three key factors which are high quality speech components including automatic speech recognition and text-to-speech models, and the personalized responses while keeping the trustworthiness and seamless integration among dialogue system components.

Original languageEnglish
Pages (from-to)670-671
Number of pages2
JournalProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Volume2023-August
StatePublished - 2023
Event24th International Speech Communication Association, Interspeech 2023 - Dublin, Ireland
Duration: 20 Aug 202324 Aug 2023

Keywords

  • active listener
  • automatic speech recognition
  • mental health dialogue system
  • text-to-speech

Fingerprint

Dive into the research topics of 'Promoting Mental Self-Disclosure in a Spoken Dialogue System'. Together they form a unique fingerprint.

Cite this