计算机工程与应用Issue(8)：207-210,4.DOI:10.3778/j.issn.1002-8331.1205-0298
内窥镜自动定位语音识别系统
Speech recognition for endoscopic automatic positioning system
摘要
Abstract
A novel system for minimally invasive surgery is presented in this paper. The system utilizes an Endoscopic Automatic Positioner(EAP)controlled by speech recognition engine to implement the clamping and dynamical positioning of the laparoscope. The motion instructions of the EAP are transformed from voice commands of specific doctor recog-nized by speaker dependent speech recognition algorithm named Dynamic Time Warping(DTW). The DTW recognizes particular commands and rejects irrelevant items by enhancing the performance of the reference template. An ARM-core embedded platform is designed to run the DTW on Windows CE operating system. And on that basis, the performance of DTW is demonstrated by 1250 groups of experiments from 10 individual speakers. Compared with the traditional algo-rithm, the enhanced algorithm can improve the recognition rate by 3.16%and shorten the time of calculation by 51%. The results demonstrate the availability of the enhanced algorithm and its ability to satisfy the real time requirement in embed-ded system.关键词
内窥镜/动态时间规整/参考模板/特定人/嵌入式系统Key words
endoscopic/dynamic time warping/reference template/speaker dependent/embedded system分类
信息技术与安全科学引用本文复制引用
马宁,陈晓冬,李亚楠,尹青云,汪毅,郁道银..内窥镜自动定位语音识别系统[J].计算机工程与应用,2014,(8):207-210,4.基金项目
国家自然科学基金仪器专项（No.60827005）。 （）
