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Developing a Voice Recognition System for Data Entry of Gastrointestinal Endoscopic Findings to Meet the Demands in the IT Age

开发语音识别系统，用于胃肠内窥镜检查结果的数据输入，以满足IT时代的需求

基本信息

批准号：
15590677
负责人：
HIGUCHI Kazuhide
金额：
$ 2.05万
依托单位：
Osaka City University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2003
资助国家：
日本
起止时间：
2003 至 2005
项目状态：
已结题

项目摘要

The present study revealed that in Japan, the acceptance of the findings input system itself is hampered by variation in practice among different institutions and tree structures unpredictable by MST users.First, we constructed a system with "the importance of developing a versatile input system for endoscopic findings in Japanese at high freedom" in mind. More specifically, we developed an endoscopic findings input system that allows data entry without being conscious of MST, by booting MST as a background term for an ordinary endoscopic findings input system, with MST terms tied to ordinary endoscopic vocabulary, rather than by entering endoscopic findings via MST.Regarding the voice input system, we developed hierarchical word dictionaries stratified by examination site, symptom, and other categories, and dynamically chose a dictionary with the optimized vocabulary per dictionary, in an attempt to improve the exploratory processing efficiency and recognition rate. The recognition rate for actually-read-aloud findings was evaluated using the thus-improved system. A recognition rate of not less than 90% was obtained. Similar experiments at a noisy place for endoscopic examination revealed a decreased recognition rate. Our voice recognition system needs to be modified to improve the recognition rate in actual settings.

本研究显示，在日本，研究结果输入系统本身的接受度受到不同机构之间的实践差异和MST用户无法预测的树结构的阻碍。首先，我们构建了一个系统，“在日本开发一个高自由度的内窥镜检查结果通用输入系统的重要性”。更具体地说，我们开发了一种内窥镜检查结果输入系统，通过引导MST作为普通内窥镜检查结果输入系统的背景术语，将MST术语与普通内窥镜词汇绑定，而不是通过MST输入内窥镜检查结果，可以在没有意识到MST的情况下输入数据。关于语音输入系统，我们开发了按检查部位、症状和其他类别分层的分层词典，并且动态地选择每个词典具有优化词汇的词典，以试图提高探索性处理效率和识别率。使用改进后的系统对实际朗读结果的识别率进行了评估。识别率不低于90%。在嘈杂的地方进行内窥镜检查的类似实验显示识别率下降。我们的语音识别系统需要修改，以提高在实际设置中的识别率。