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 language | English |
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Pages (from-to) | 670-671 |
Number of pages | 2 |
Journal | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH |
Volume | 2023-August |
State | Published - 2023 |
Event | 24th International Speech Communication Association, Interspeech 2023 - Dublin, Ireland Duration: 20 Aug 2023 → 24 Aug 2023 |
Keywords
- active listener
- automatic speech recognition
- mental health dialogue system
- text-to-speech