{"title":"口语对话系统:研究的挑战与机遇","authors":"J. Williams","doi":"10.1109/ASRU.2009.5372951","DOIUrl":null,"url":null,"abstract":"Research into spoken dialog systems has yielded some interesting results recently, such as statistical models for improved robustness, and machine learning for optimal control, among others. What are the basic ideas behind these techniques? What opportunities do they exploit? Are they ready to be deployed in real systems? What remains to be done?","PeriodicalId":89617,"journal":{"name":"Proceedings. IEEE Workshop on Automatic Speech Recognition and Understanding","volume":"2 1","pages":"25"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":"{\"title\":\"Spoken dialogue systems: Challenges, and opportunities for research\",\"authors\":\"J. Williams\",\"doi\":\"10.1109/ASRU.2009.5372951\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Research into spoken dialog systems has yielded some interesting results recently, such as statistical models for improved robustness, and machine learning for optimal control, among others. What are the basic ideas behind these techniques? What opportunities do they exploit? Are they ready to be deployed in real systems? What remains to be done?\",\"PeriodicalId\":89617,\"journal\":{\"name\":\"Proceedings. IEEE Workshop on Automatic Speech Recognition and Understanding\",\"volume\":\"2 1\",\"pages\":\"25\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"25\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. IEEE Workshop on Automatic Speech Recognition and Understanding\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASRU.2009.5372951\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. IEEE Workshop on Automatic Speech Recognition and Understanding","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASRU.2009.5372951","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spoken dialogue systems: Challenges, and opportunities for research
Research into spoken dialog systems has yielded some interesting results recently, such as statistical models for improved robustness, and machine learning for optimal control, among others. What are the basic ideas behind these techniques? What opportunities do they exploit? Are they ready to be deployed in real systems? What remains to be done?