H. Murao, Nobuo Kawaguchi, S. Matsubara, Y. Inagaki
{"title":"基于示例的自发语音查询生成","authors":"H. Murao, Nobuo Kawaguchi, S. Matsubara, Y. Inagaki","doi":"10.1109/ASRU.2001.1034639","DOIUrl":null,"url":null,"abstract":"This paper proposes a new query generation method that is based on examples of human-to-human dialogue. Along with modeling the information flow in dialogue, a system for information retrieval in-car has been designed. The system refers to the dialogue corpus to find an example that is similar to input speech, and makes a query from the example. We also give the experimental results to show the effectiveness of this method.","PeriodicalId":118671,"journal":{"name":"IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01.","volume":"47 5-6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Example-based query generation for spontaneous speech\",\"authors\":\"H. Murao, Nobuo Kawaguchi, S. Matsubara, Y. Inagaki\",\"doi\":\"10.1109/ASRU.2001.1034639\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a new query generation method that is based on examples of human-to-human dialogue. Along with modeling the information flow in dialogue, a system for information retrieval in-car has been designed. The system refers to the dialogue corpus to find an example that is similar to input speech, and makes a query from the example. We also give the experimental results to show the effectiveness of this method.\",\"PeriodicalId\":118671,\"journal\":{\"name\":\"IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01.\",\"volume\":\"47 5-6\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASRU.2001.1034639\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASRU.2001.1034639","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Example-based query generation for spontaneous speech
This paper proposes a new query generation method that is based on examples of human-to-human dialogue. Along with modeling the information flow in dialogue, a system for information retrieval in-car has been designed. The system refers to the dialogue corpus to find an example that is similar to input speech, and makes a query from the example. We also give the experimental results to show the effectiveness of this method.