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| Autori principali: | , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2506.21865 |
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| _version_ | 1866909661948542976 |
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| author | Wang, Haofeng Guo, Yilin Li, Zehao Yue, Tong Wang, Yizong Zhang, Enci Lin, Rongqun Gao, Feng Wang, Shiqi Ma, Siwei |
| author_facet | Wang, Haofeng Guo, Yilin Li, Zehao Yue, Tong Wang, Yizong Zhang, Enci Lin, Rongqun Gao, Feng Wang, Shiqi Ma, Siwei |
| contents | The Yellow River is China's mother river and a cradle of human civilization. The ancient Yellow River culture is, moreover, an indispensable part of human art history. To conserve and inherit the ancient Yellow River culture, we designed RiverEcho, a real-time interactive system that responds to voice queries using a large language model and a cultural knowledge dataset, delivering explanations through a talking-head digital human. Specifically, we built a knowledge database focused on the ancient Yellow River culture, including the collection of historical texts and the processing pipeline. Experimental results demonstrate that leveraging Retrieval-Augmented Generation (RAG) on the proposed dataset enhances the response quality of the Large Language Model(LLM), enabling the system to generate more professional and informative responses. Our work not only diversifies the means of promoting Yellow River culture but also provides users with deeper cultural insights. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_21865 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | RiverEcho: Real-Time Interactive Digital System for Ancient Yellow River Culture Wang, Haofeng Guo, Yilin Li, Zehao Yue, Tong Wang, Yizong Zhang, Enci Lin, Rongqun Gao, Feng Wang, Shiqi Ma, Siwei Multimedia Computation and Language The Yellow River is China's mother river and a cradle of human civilization. The ancient Yellow River culture is, moreover, an indispensable part of human art history. To conserve and inherit the ancient Yellow River culture, we designed RiverEcho, a real-time interactive system that responds to voice queries using a large language model and a cultural knowledge dataset, delivering explanations through a talking-head digital human. Specifically, we built a knowledge database focused on the ancient Yellow River culture, including the collection of historical texts and the processing pipeline. Experimental results demonstrate that leveraging Retrieval-Augmented Generation (RAG) on the proposed dataset enhances the response quality of the Large Language Model(LLM), enabling the system to generate more professional and informative responses. Our work not only diversifies the means of promoting Yellow River culture but also provides users with deeper cultural insights. |
| title | RiverEcho: Real-Time Interactive Digital System for Ancient Yellow River Culture |
| topic | Multimedia Computation and Language |
| url | https://arxiv.org/abs/2506.21865 |