GesGPT: Speech Gesture Synthesis With Text Parsing From ChatGPT
文献类型：期刊论文
| 作者 | Gao, Nan1 ; Zhao, Zeyu1,2; Zeng, Zhi3; Zhang, Shuwu3; Weng, Dongdong4,5; Bao, Yihua4,5
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| 刊名 | IEEE ROBOTICS AND AUTOMATION LETTERS
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| 出版日期 | 2024-03-01 |
| 卷号 | 9期号:3页码:2718-2725 |
| 关键词 | Semantics Chatbots Task analysis Robots Deep learning Cognition Annotations Gesture synthesis human robot interaction large language model |
| ISSN号 | 2377-3766 |
| DOI | 10.1109/LRA.2024.3359544 |
| 通讯作者 | Bao, Yihua(boye1900@outlook.com) |
| 英文摘要 | Gesture synthesis has gained significant attention as a critical research field, aiming to produce contextually appropriate and natural gestures corresponding to speech or textual input. Although deep learning-based approaches have achieved remarkable progress, they often overlook the rich semantic information present in the text, leading to less expressive and meaningful gestures. In this letter, we propose GesGPT, a novel approach to gesture generation that leverages the semantic analysis capabilities of large language models, such as ChatGPT. By capitalizing on the strengths of LLMs for text analysis, we adopt a controlled approach to generate and integrate professional gestures and base gestures through a text parsing script, resulting in diverse and meaningful gestures. Firstly, our approach involves the development of prompt principles that transform gesture generation into an intention classification problem using ChatGPT. We also conduct further analysis on emphasis words and semantic words to aid in gesture generation. Subsequently, we construct a specialized gesture lexicon with multiple semantic annotations, decoupling the synthesis of gestures into professional gestures and base gestures. Finally, we merge the professional gestures with base gestures. Experimental results demonstrate that GesGPT effectively generates contextually appropriate and expressive gestures. |
| 资助项目 | National Key Ramp;D Program of China |
| WOS研究方向 | Robotics |
| 语种 | 英语 |
| WOS记录号 | WOS:001174114300007 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Key Ramp;D Program of China |
| 源URL | [http://ir.ia.ac.cn/handle/173211/56987]  |
| 专题 | 数字内容技术与服务研究中心_新媒体服务与管理技术 |
| 通讯作者 | Bao, Yihua |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Beijing 100045, Peoples R China 2.Univ Chinese Acad Sci, Beijing 101408, Peoples R China 3.Beijing Univ Posts & Telecommun, Beijing 100876, Peoples R China 4.Beijing Engn Res Ctr Mixed Real & Adv Display, Beijing 100081, Peoples R China 5.Inst Technol Beijing, Beijing 100081, Peoples R China |
| 推荐引用方式 GB/T 7714 | Gao, Nan,Zhao, Zeyu,Zeng, Zhi,et al. GesGPT: Speech Gesture Synthesis With Text Parsing From ChatGPT[J]. IEEE ROBOTICS AND AUTOMATION LETTERS,2024,9(3):2718-2725. |
| APA | Gao, Nan,Zhao, Zeyu,Zeng, Zhi,Zhang, Shuwu,Weng, Dongdong,&Bao, Yihua.(2024).GesGPT: Speech Gesture Synthesis With Text Parsing From ChatGPT.IEEE ROBOTICS AND AUTOMATION LETTERS,9(3),2718-2725. |
| MLA | Gao, Nan,et al."GesGPT: Speech Gesture Synthesis With Text Parsing From ChatGPT".IEEE ROBOTICS AND AUTOMATION LETTERS 9.3(2024):2718-2725. |
入库方式： OAI收割
来源：自动化研究所
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