{"title":"Voice/audio information retrieval: minimizing the need for human ears","authors":"M. Clements, M. Gavaldà","doi":"10.1109/ASRU.2007.4430183","DOIUrl":null,"url":null,"abstract":"This paper discusses the challenges of building information retrieval applications that operate on large amounts of voice/audio data. Various problems and issues are presented along with proposed solutions. A set of techniques based on a phonetic keyword spotting approach is presented, together with examples of concrete applications that solve real-life problems.","PeriodicalId":371729,"journal":{"name":"2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASRU.2007.4430183","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper discusses the challenges of building information retrieval applications that operate on large amounts of voice/audio data. Various problems and issues are presented along with proposed solutions. A set of techniques based on a phonetic keyword spotting approach is presented, together with examples of concrete applications that solve real-life problems.
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