Report
Let's Go Real Talk: Spoken Dialogue Model for Face-to-Face Conversation
| العنوان: | Let's Go Real Talk: Spoken Dialogue Model for Face-to-Face Conversation |
|---|---|
| المؤلفون: | Park, Se Jin, Kim, Chae Won, Rha, Hyeongseop, Kim, Minsu, Hong, Joanna, Yeo, Jeong Hun, Ro, Yong Man |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction |
| الوصف: | In this paper, we introduce a novel Face-to-Face spoken dialogue model. It processes audio-visual speech from user input and generates audio-visual speech as the response, marking the initial step towards creating an avatar chatbot system without relying on intermediate text. To this end, we newly introduce MultiDialog, the first large-scale multimodal (i.e., audio and visual) spoken dialogue corpus containing 340 hours of approximately 9,000 dialogues, recorded based on the open domain dialogue dataset, TopicalChat. The MultiDialog contains parallel audio-visual recordings of conversation partners acting according to the given script with emotion annotations, which we expect to open up research opportunities in multimodal synthesis. Our Face-to-Face spoken dialogue model incorporates a textually pretrained large language model and adapts it into the audio-visual spoken dialogue domain by incorporating speech-text joint pretraining. Through extensive experiments, we validate the effectiveness of our model in facilitating a face-to-face conversation. Demo and data are available at https://multidialog.github.io and https://huggingface.co/datasets/IVLLab/MultiDialog, respectively. Comment: Accepted to ACL 2024 (Oral) |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2406.07867 |
| رقم الانضمام: | edsarx.2406.07867 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |