嵌入式语音识别系统的测试方法研究
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摘要
为更全面地评估嵌入式语音识别系统的性能,定位识别系统的性能瓶颈,以及提高嵌入式语音识别系统的测试效率,提出一套对嵌入式语音识别系统通用的测试方案。采用交叉测试的方法,将语音识别系统移植到全实物仿真测试环境,通过主机向目标机发送调用命令,控制目标机的执行内容,并将测试结果传输到主机,在主机上通过自动化测试完成结果统计及分析。实验结果表明,全实物仿真测试环境下的测试结果更贴近真实的应用效果,通过交叉测试的方法完成主机对目标机的控制,实现非侵入式测试,借助自动化测试工具可以自动捕获并校验测试结果,辅助定位系统存在的问题。该测试方法适用于嵌入式语音识别系统的各个应用场景,全面评估系统性能,自动化测试可显著提高测试效率、提升测试结果的可信度。
In order to more comprehensively evaluate the performance of the embedded speech recognition system,locate the performance bottleneck of the recognition system,and improve the test efficiency of the embedded speech recognition system,we propose a general test plan for the embedded speech recognition system. The cross-test method is used to transplant the speech recognition system to the whole physical simulation test environment. The host sends a call command to the target machine to control its execution content. The test result will be transmitted to the host for statistical and analysis by automated test method. Experiment shows the test results in the whole physical simulation test environment are closer to the real application effect. Through the cross-test method the host control of the target machine is completed,achieving non-intrusive testing. Automated test tools automatically capture and verify test results to locate problems in the system. The test method is applicable to various application scenarios of the embedded speech recognition system,and the automatic test can significantly improve the test efficiency and improve the credibility of the test result.
In order to more comprehensively evaluate the performance of the embedded speech recognition system,locate the performance bottleneck of the recognition system,and improve the test efficiency of the embedded speech recognition system,we propose a general test plan for the embedded speech recognition system. The cross-test method is used to transplant the speech recognition system to the whole physical simulation test environment. The host sends a call command to the target machine to control its execution content. The test result will be transmitted to the host for statistical and analysis by automated test method. Experiment shows the test results in the whole physical simulation test environment are closer to the real application effect. Through the cross-test method the host control of the target machine is completed,achieving non-intrusive testing. Automated test tools automatically capture and verify test results to locate problems in the system. The test method is applicable to various application scenarios of the embedded speech recognition system,and the automatic test can significantly improve the test efficiency and improve the credibility of the test result.
引文
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[13] 夏佳佳,邹毅军,周江伟,等.嵌入式软件自动化测试系统研究[J].计算机测量与控制,2016,24(4):22-25.
[14] YIN Yongfeng,LIU Bin,WANG Chen,et al.Research on automatic testing technology oriented intelligent mobile terminal software[C]//International conference on communications and mobile computing.Shenzhen,China:IEEE,2010:274-278.
[15] 王博,白晓颖,陈文光,等.基于执行序列的嵌入式软件时序异常检测[J].计算机学报,2017,40(12):2636-2657.
[2] 朱少民.软件测试方法和技术[M].北京:清华大学出版社,2010.
[3] 乔文军.嵌入式软件测试平台的研究与实现[D].南京:南京航空航天大学,2007.
[4] PUKETZA N,CHUNG M,OLSSON R A,et al.A software platform for testing intrusion detection systems[J].IEEE Software,1997,14(5):43-51.
[5] 殷永峰,刘斌,姜同敏,等.智能移动终端软件自动化测试平台研究[J].计算机应用研究,2008,25(9):2709-2712.
[6] 解志君.嵌入式软件测试技术分析研究[J].自动化与仪器仪表,2016(12):3-4.
[7] SHEN A,KUZLU M,PIPATTANASOMPORN M,et al.A performance testing method for embedded software platforms[C]//IEEE international conference on cyber technology in automation,control,and intelligent systems.Chengdu,China:IEEE,2016:135-140.
[8] 贺英杰,张峰.基于全数字仿真的嵌入式软件测试技术研究[J].科技广场,2015(8):28-31.
[9] CHEN Yehui,WANG Enliang,JI Liqin.Embedded speech recognition system design and optimization[C]//Eighth international conference on measuring technology and mechatronics automation.Macau,China:IEEE,2016:266-269.
[10] 武剑虹,黄石磊,匡镜明.语音识别系统测试平台设计[J].电讯技术,2003,43(4):102-105.
[11] 祁俊胜.探讨动态软件测试中的白盒及黑盒测试[J].信息通信,2015(9):131-132.
[12] 周汉清,刘畅.嵌入式软件仿真测试环境实时脚本技术的研究[J].航空标准化与质量,2014(2):36-39.
[13] 夏佳佳,邹毅军,周江伟,等.嵌入式软件自动化测试系统研究[J].计算机测量与控制,2016,24(4):22-25.
[14] YIN Yongfeng,LIU Bin,WANG Chen,et al.Research on automatic testing technology oriented intelligent mobile terminal software[C]//International conference on communications and mobile computing.Shenzhen,China:IEEE,2010:274-278.
[15] 王博,白晓颖,陈文光,等.基于执行序列的嵌入式软件时序异常检测[J].计算机学报,2017,40(12):2636-2657.