{"title":"日本经济产业省“基础语音识别技术开发”项目介绍","authors":"S. Furui, Tetsunori Kobayashi","doi":"10.1109/ASRU.2007.4430117","DOIUrl":null,"url":null,"abstract":"Summary form only given. Waseda University, Tokyo Institute of Technology, and six companies, Asahi-kasei, Hitachi, Mitsubishi, NEC, Oki and Toshiba, initiated a three year project in 2006 supported by the ministry of economy, industry and trade (METI), Japan, for jointly developing fundamental automatic speech recognition (ASR) technology. The project focuses on utilizing ASR technology in car and home environments. Seven subtasks are being investigated: speech/non-speech separation using multiple microphones, speech/non-speech separation for a single audio stream, developing a high-performance WFST-based decoder, multi-lingual ASR modeling, higher-order language modeling, developing a system for assisting speech interface development, and overall technology evaluation. This talk will give an overview of the intermediate technological progress achieved by the project.","PeriodicalId":371729,"journal":{"name":"2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Introduction of the METI project “development of fundamental speech recognition technology”\",\"authors\":\"S. Furui, Tetsunori Kobayashi\",\"doi\":\"10.1109/ASRU.2007.4430117\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summary form only given. Waseda University, Tokyo Institute of Technology, and six companies, Asahi-kasei, Hitachi, Mitsubishi, NEC, Oki and Toshiba, initiated a three year project in 2006 supported by the ministry of economy, industry and trade (METI), Japan, for jointly developing fundamental automatic speech recognition (ASR) technology. The project focuses on utilizing ASR technology in car and home environments. Seven subtasks are being investigated: speech/non-speech separation using multiple microphones, speech/non-speech separation for a single audio stream, developing a high-performance WFST-based decoder, multi-lingual ASR modeling, higher-order language modeling, developing a system for assisting speech interface development, and overall technology evaluation. This talk will give an overview of the intermediate technological progress achieved by the project.\",\"PeriodicalId\":371729,\"journal\":{\"name\":\"2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"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.2007.4430117\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASRU.2007.4430117","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Introduction of the METI project “development of fundamental speech recognition technology”
Summary form only given. Waseda University, Tokyo Institute of Technology, and six companies, Asahi-kasei, Hitachi, Mitsubishi, NEC, Oki and Toshiba, initiated a three year project in 2006 supported by the ministry of economy, industry and trade (METI), Japan, for jointly developing fundamental automatic speech recognition (ASR) technology. The project focuses on utilizing ASR technology in car and home environments. Seven subtasks are being investigated: speech/non-speech separation using multiple microphones, speech/non-speech separation for a single audio stream, developing a high-performance WFST-based decoder, multi-lingual ASR modeling, higher-order language modeling, developing a system for assisting speech interface development, and overall technology evaluation. This talk will give an overview of the intermediate technological progress achieved by the project.