A. Smailagic, D. Siewiorek, Richard L. Martin, D. Reilly
{"title":"CMU wearable computers for real-time speech translation","authors":"A. Smailagic, D. Siewiorek, Richard L. Martin, D. Reilly","doi":"10.1109/ISWC.1999.806923","DOIUrl":null,"url":null,"abstract":"Carnegie Mellon's Wearable Computers Laboratory has built four generations of real time speech translation wearable computers, culminating in the Speech Translator Smart Module. Smart Modules are a family of interoperable modules supporting real time speech recognition, language translation, and speech synthesis. We examine the effect of various design factors on performance with emphasis on modularity and scalability. A system level approach to power/performance optimization is described that improved the metric of (performance/(weight*volume*power)) by over a factor of 300 through the four generations.","PeriodicalId":356535,"journal":{"name":"Digest of Papers. Third International Symposium on Wearable Computers","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digest of Papers. Third International Symposium on Wearable Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWC.1999.806923","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22
Abstract
Carnegie Mellon's Wearable Computers Laboratory has built four generations of real time speech translation wearable computers, culminating in the Speech Translator Smart Module. Smart Modules are a family of interoperable modules supporting real time speech recognition, language translation, and speech synthesis. We examine the effect of various design factors on performance with emphasis on modularity and scalability. A system level approach to power/performance optimization is described that improved the metric of (performance/(weight*volume*power)) by over a factor of 300 through the four generations.