AVIN-Chat: An Audio-Visual Interactive Chatbot System with Emotional State Tuning
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Abstract (arXiv)
This work presents an audio-visual interactive chatbot (AVIN-Chat) system that allows users to have face-to-face conversations with 3D avatars in real-time. Compared to the previous chatbot services, which provide text-only or speech-only communications, the proposed AVIN-Chat can offer audio-visual communications providing users with a superior experience quality. In addition, the proposed AVIN-Chat emotionally speaks and expresses according to the user's emotional state. Thus, it enables users to establish a strong bond with the chatbot system, increasing the user's immersion. Through user subjective tests, it is demonstrated that the proposed system provides users with a higher sense of immersion than previous chatbot systems. The demonstration video is available at https://www.youtube.com/watch?v=Z74uIV9k7_k.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 9 of its 16 references that are in the map. First posted on arXiv 15 Aug 2024.
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References · 9
- 2020Language Models are Few-Shot Learnerscited by 32,199
- 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
- 2021The Power of Scale for Parameter-Efficient Prompt Tuningcited by 3,769
- 2020Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inferencecited by 934
- 2022PointAvatar: Deformable Point-based Head Avatars from Videoscited by 183
- 2022Instant Volumetric Head Avatarscited by 157
- 2023EmoTalk: Speech-Driven Emotional Disentanglement for 3D Face Animationcited by 141
- 2022PromptTTS: Controllable Text-to-Speech with Text Descriptionscited by 106
- 2023A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction from In-The-Wild Imagescited by 43
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