共同体视角下AI赋能非遗传承与手工艺产业融合升级  

AI-Empowered Integration and Upgrading of Intangible Cultural Heritage Inheritance and Craft Industry from a Community Perspective

作　　者：丁宇诚 吴雨航 冯艺淞 程子萱 刘桃君 李浩[2] DING Yucheng;WU Yuhang;FENG Yisong;CHENG Zixuan;LIU Taojun;LI Hao(Sichuan University of Media and Communications,Chengdu 611730,China;Zhejiang Sci-Tech University,Hangzhou 311199,China;University of Sydney,Sydney NSW 2006,Australia)

机构地区：[1]四川传媒学院,四川成都611745 [2]浙江理工大学,浙江杭州311199 [3]悉尼大学,新南威尔士悉尼NSW 2006

出　　处：《西部皮革》2025年第7期17-19,共3页West Leather

基　　金：四川省社会科学重点研究基地民间文化研究中心资助项目(MJL24-04);西华大学四川省铸牢中华民族共同体意识研究基地“中华民族共同体视野下四川民族地区传统手工艺产业转型升级策略研究”(XHZL2024032);成都市非遗文化传承与发展研究中心资助项目(cdfzfyZC24023)。

摘　　要：文章基于中华民族共同体视角,以西部地区濒危非遗技艺雅安皮拖为例,通过语音识别、自然语言处理、知识图谱构建及CycleGAN对抗生成网络等技术,探究人工智能在非遗口述史数字化传承与手工艺产业融合升级中的应用路径。研究发现,AI技术能够高效提取非遗口述史中的关键信息并生成结构化知识库,同时通过纹样风格迁移与三维建模优化产品设计,显著提升生产效率与市场适配性。研究认为,AI赋能非遗需注重数据采集规范性与跨领域人才培养,通过技术协同与资源共享实现文化传承与产业创新的双向驱动。This study,based on the perspective of the Chinese national community,takes the endangered intangible cultural heritage(ICH)craft of Ya'an leather shoes in western China as a case.By applying technologies such as speech recognition,natural language processing,knowledge graph construction,and CycleGAN adversarial generation networks,it explores the application of artificial intelligence(AI)in the digital inheritance of ICH oral history and the integrated upgrading of the handicraft industry.The research demonstrates that AI technologies can efficiently extract key information from oral histories and generate structured knowledge bases,while optimizing product design through pattern style transfer and 3D modeling,significantly improving production efficiency and market adaptability.The study argues that AI-driven ICH empowerment requires standardized data collection and interdisciplinary talent cultivation,emphasizing technological collaboration and resource sharing to achieve bidirectional integration of cultural preservation and industrial innovation.

关 键 词：人工智能 非物质文化遗产 手工艺产业 雅安皮拖 

分 类 号：G127[文化科学] TP18[自动化与计算机技术—控制理论与控制工程]