{"title":"移动语音识别","authors":"D. Schnelle","doi":"10.4018/978-1-59904-832-1.CH017","DOIUrl":null,"url":null,"abstract":"This chapter gives an overview of the main architectures for enabling speech recognition on embedded devices. Starting with a short overview of speech recognition, an overview of the main challenges for the use on embedded devices is given. Each of the architectures has its own characteristic problems and features. This chapter gives a solid basis for the selection of an architecture that is most appropriate for the current business case in enterprise applications.","PeriodicalId":443285,"journal":{"name":"Handbook of Research on Ubiquitous Computing Technology for Real Time Enterprises","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Mobile Speech Recognition\",\"authors\":\"D. Schnelle\",\"doi\":\"10.4018/978-1-59904-832-1.CH017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This chapter gives an overview of the main architectures for enabling speech recognition on embedded devices. Starting with a short overview of speech recognition, an overview of the main challenges for the use on embedded devices is given. Each of the architectures has its own characteristic problems and features. This chapter gives a solid basis for the selection of an architecture that is most appropriate for the current business case in enterprise applications.\",\"PeriodicalId\":443285,\"journal\":{\"name\":\"Handbook of Research on Ubiquitous Computing Technology for Real Time Enterprises\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Handbook of Research on Ubiquitous Computing Technology for Real Time Enterprises\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/978-1-59904-832-1.CH017\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Handbook of Research on Ubiquitous Computing Technology for Real Time Enterprises","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-59904-832-1.CH017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This chapter gives an overview of the main architectures for enabling speech recognition on embedded devices. Starting with a short overview of speech recognition, an overview of the main challenges for the use on embedded devices is given. Each of the architectures has its own characteristic problems and features. This chapter gives a solid basis for the selection of an architecture that is most appropriate for the current business case in enterprise applications.
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