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语音识别在船舶智能控制中的应用研究
引用本文:刘玉良,孙旭伟,刘国平,朱杰. 语音识别在船舶智能控制中的应用研究[J]. 集美大学学报(自然科学版), 2009, 14(1)
作者姓名:刘玉良  孙旭伟  刘国平  朱杰
作者单位:浙江海洋学院机电工程学院,浙江,舟山,316004;上海交通大学电子信息与电气工程学院,上海,200240;浙江省岱山县交通局,浙江,岱山,316200;浙江海洋学院机电工程学院,浙江,舟山,316004;上海交通大学电子信息与电气工程学院,上海,200240
基金项目:浙江省科技攻关项目,浙江省教育厅科学研究项目 
摘    要:介绍了基于隐马尔可夫模型(HMM)技术的语音识别原理,以航行信号灯的控制为例,提出了孤立词语音识别技术应用于船舶智能控制的方法.采用C++编程和语音识别工具箱HTK相结合的方法进行软件设计,然后以数字信号处理(DSP)芯片TMS320C5409为主完成硬件设计,实验结果表明该控制方法的正确识别率达到98 %以上,具有一定的可行性.

关 键 词:语音识别  隐马尔可夫模型  船舶智能控制

Application of Marine Intelligent Control with Speech Recognition Technology
LIU Yu-liang,SUN Xu-wei,LIU Guo-ping,ZHU Jie. Application of Marine Intelligent Control with Speech Recognition Technology[J]. the Editorial Board of Jimei University(Natural Science), 2009, 14(1)
Authors:LIU Yu-liang  SUN Xu-wei  LIU Guo-ping  ZHU Jie
Affiliation:1.School of Electromechanical Engineering;Zhejiang Ocean University;Zhoushan 316004;China;2.Traffic Administration Bureau of Daishan County;Daishan 316200;3.School of Electronic and Electric Engineering;Shanghai Jiaotong University;Shanghai 200240;China
Abstract:Based on speech recognition with Hidden Markov Mode(HMM) technology,the method of controlling marine navigation signal lamps with speech recognition was presented as an instance.The software design was finished with C++ coding and speech recognition toolbox HTK,and the hardware design was mainly on TMS320C5409.Finally,the correct recognition rate over 98 percent was obtained from deep experiments and the feasibility and effectivity were all verified.
Keywords:speech recognition  Hidden Markov Mode  marine intelligent control  
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