{"title":"基于指令匹配的车载语音控制","authors":"Z. Xinfeng, Yang Diange, Lian Xiaomin","doi":"10.1109/ICVES.2006.371627","DOIUrl":null,"url":null,"abstract":"This article presents a general structure of speech control intelligent electrical system. Under specific in-vehicle environment, a classified vocabulary is designed. Driver's nature language is processed using normal-mode and infinite state machine theory to achieve the goal of speech control. Robust design is also used to increase the accuracy of driver' intension recognition result. A demo system is developed, and it proved that to control electrical/electronic device using human language is feasible.","PeriodicalId":253788,"journal":{"name":"2006 IEEE International Conference on Vehicular Electronics and Safety","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Speech Control based on Command Matching in Vehicle\",\"authors\":\"Z. Xinfeng, Yang Diange, Lian Xiaomin\",\"doi\":\"10.1109/ICVES.2006.371627\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents a general structure of speech control intelligent electrical system. Under specific in-vehicle environment, a classified vocabulary is designed. Driver's nature language is processed using normal-mode and infinite state machine theory to achieve the goal of speech control. Robust design is also used to increase the accuracy of driver' intension recognition result. A demo system is developed, and it proved that to control electrical/electronic device using human language is feasible.\",\"PeriodicalId\":253788,\"journal\":{\"name\":\"2006 IEEE International Conference on Vehicular Electronics and Safety\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE International Conference on Vehicular Electronics and Safety\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICVES.2006.371627\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE International Conference on Vehicular Electronics and Safety","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVES.2006.371627","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Speech Control based on Command Matching in Vehicle
This article presents a general structure of speech control intelligent electrical system. Under specific in-vehicle environment, a classified vocabulary is designed. Driver's nature language is processed using normal-mode and infinite state machine theory to achieve the goal of speech control. Robust design is also used to increase the accuracy of driver' intension recognition result. A demo system is developed, and it proved that to control electrical/electronic device using human language is feasible.