{"title":"基于语音的机器人控制","authors":"P.X. Liu, A. Chan, R. Chen, K. Wang, Y. Zhu","doi":"10.1109/ICIA.2005.1635148","DOIUrl":null,"url":null,"abstract":"A voice-based system has been developed to control a mobile robot using oral commands. The system is divided into two main components: speech recognition engine and robotic control unit. In the speech recognition engine, hidden Markov models are used as the main method in recognizing oral commands. The robotic control unit is developed under the ARIA environment, which is provided by the robot manufacturer.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"34","resultStr":"{\"title\":\"Voice based robot control\",\"authors\":\"P.X. Liu, A. Chan, R. Chen, K. Wang, Y. Zhu\",\"doi\":\"10.1109/ICIA.2005.1635148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A voice-based system has been developed to control a mobile robot using oral commands. The system is divided into two main components: speech recognition engine and robotic control unit. In the speech recognition engine, hidden Markov models are used as the main method in recognizing oral commands. The robotic control unit is developed under the ARIA environment, which is provided by the robot manufacturer.\",\"PeriodicalId\":136611,\"journal\":{\"name\":\"2005 IEEE International Conference on Information Acquisition\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"34\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 IEEE International Conference on Information Acquisition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIA.2005.1635148\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE International Conference on Information Acquisition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIA.2005.1635148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A voice-based system has been developed to control a mobile robot using oral commands. The system is divided into two main components: speech recognition engine and robotic control unit. In the speech recognition engine, hidden Markov models are used as the main method in recognizing oral commands. The robotic control unit is developed under the ARIA environment, which is provided by the robot manufacturer.
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