摘要
文章旨在探索语音识别技术应用于徽州文书文本化的可行性及其模式:采用实验研究法比较3种文本化方式的优劣,运用功能分析法探讨徽州文书文本化语音识别技术应用的潜在模式。研究发现:语音识别技术适用于徽州文书文本化工作,识别时间为手工录入的六分之一,识别率为80.22%,相较于OCR提升超过25%,并可同步实现语音建档及初步语义标注功能。文章提出应用语音识别技术进行徽州文书文本化的方法,具有一定的可行性且潜在应用模式多样,可为民间历史文献文本化工作提供参考。
This article aims to explore the feasibility of using Auto Speech Recognition to improve the textualization efficiency of Huizhou Documents and its potential application modes. Experiment study is applied to find out the advantages and disadvantages among three textualizing methods,then functional analysis is used for discussing the potential application modes of the textualization of Huizhou Documents using Auto Speech Recognition. Results show that Auto Speech Recognition is suitable for the textualization of Huizhou Documents.The recognition time is only 1/6 of the manual input,and the recognition rate reaches 80.22% which has been improved by more than 25% compared with OCR. Auto Speech Recognition can also realize the voice documentation and preliminary semantic annotation. This study indicates that it is feasible to apply Auto Speech Recognition to textualize Huizhou Documents, and there are various potential application modes, which is expected to constitute a reference for the digitalization of historical documents.
作者
钟远薪
王蕾
杨新涯
薛玉
ZHONG Yuanxin;WANG Lei;YANG Xinya;XUE Yu
出处
《图书馆论坛》
北大核心
2023年第2期49-56,2,共9页
Library Tribune
基金
国家哲学社会科学基金一般项目“徽州民间文书抢救性保护与数据库建设研究”(项目编号:19BTQ010)
中山大学高校基本科研业务费青年教师重点培育项目“徽州文书数字人文理论与实践研究”(项目编号:19wkzd17)研究成果。
关键词
徽州文书
文本化
语音识别
人工智能
数字人文
Huizhou Documents
textualization
auto speech recognition
artificial intelligence
digital humanities