Grasso M A, Grasso C T
Segue Corporation, Laurel, MD 20723.
Comput Biol Med. 1994 Jul;24(4):289-94. doi: 10.1016/0010-4825(94)90025-6.
The object of this study was to determine the feasibility of using voice recognition technology to enable hands-free and eyes-free collection of data related to animal drug toxicology studies. Specifically, we developed and tested a prototype voice-driven data collection system for histopathology data using only voice input and computer-generated voice responses. The overall accuracy rate was 97%. Additional work is needed to minimize training requirements and improve audible feedback. We conclude that this architecture could be considered a viable alternative for data collection in animal drug toxicology studies with reasonable recognition accuracy.
本研究的目的是确定使用语音识别技术实现免手动和免视觉收集与动物药物毒理学研究相关数据的可行性。具体而言,我们开发并测试了一种仅使用语音输入和计算机生成语音响应的用于组织病理学数据的语音驱动数据收集系统原型。总体准确率为97%。需要开展更多工作以尽量减少培训要求并改善听觉反馈。我们得出结论,在具有合理识别准确率的情况下,这种架构可被视为动物药物毒理学研究中数据收集的一种可行替代方案。