RiverEcho: Real-Time Interactive Digital System for Ancient Yellow River Culture

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.

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Publication Details

Published
2025-06-30
DOI
https://doi.org/10.1109/icmew68306.2025.11152181
Primary Topic
Human Motion and Animation
Type
article
Field-Weighted Citation Impact
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article

RiverEcho: Real-Time Interactive Digital System for Ancient Yellow River Culture

Rongqun Lin, Siwei Ma, Enci Zhang, Feng Gao et al.
Human Motion and Animation
article

RiverEcho: Real-Time Interactive Digital System for Ancient Yellow River Culture

Rongqun Lin, Siwei Ma, Enci Zhang, Feng Gao, Y.B. Wang, Tong Yue, Haofeng Wang, Shiqi Wang, Zehao Li, Yilin Guo
article en

Abstract

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.

City University of Hong Kong (HK), Peking University (CN), Peng Cheng Laboratory (CN), Renmin University of China (CN)
Openalex Percentile: Top 70%
Human Motion and Animation
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RiverEcho: Real-Time Interactive Digital System for Ancient Yellow River Culture — Rongqun Lin, Siwei Ma, et al. · (2025) | TGRS Research Map | TGRS