一个大词汇量说话人独立识别系统的实验现场试验

Proceedings of 2nd IEEE Workshop on Interactive Voice Technology for Telecommunications Applications Pub Date : 1994-09-26 DOI:10.1109/IVTTA.1994.341549

M. Koo, I. Sohn, Che-Hong Ahn

{"title":"一个大词汇量说话人独立识别系统的实验现场试验","authors":"M. Koo, I. Sohn, Che-Hong Ahn","doi":"10.1109/IVTTA.1994.341549","DOIUrl":null,"url":null,"abstract":"Presents a large vocabulary, speaker independent speech recognition system (KT-STOCK) and describes its experimental field trial over the telephone network. KT-STOCK is an information retrieval system with which one can obtain the current price of a stock by saying a stock name among 712 stock names listed on the Korea stock exchange. The system is a HMM (hidden Markov model)-based isolated speech recognizer which uses the phoneme-like unit as a basic unit. KT-STOCK has been put under experimental field trials since June 24 1994. Preliminary results show that the performance in the simulation environment is different from that in the real environment. Currently, the authors have achieved the recognition rate of 61.9% in the real environment.<<ETX>>","PeriodicalId":435907,"journal":{"name":"Proceedings of 2nd IEEE Workshop on Interactive Voice Technology for Telecommunications Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An experimental field trial of a large vocabulary speaker independent recognition system\",\"authors\":\"M. Koo, I. Sohn, Che-Hong Ahn\",\"doi\":\"10.1109/IVTTA.1994.341549\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Presents a large vocabulary, speaker independent speech recognition system (KT-STOCK) and describes its experimental field trial over the telephone network. KT-STOCK is an information retrieval system with which one can obtain the current price of a stock by saying a stock name among 712 stock names listed on the Korea stock exchange. The system is a HMM (hidden Markov model)-based isolated speech recognizer which uses the phoneme-like unit as a basic unit. KT-STOCK has been put under experimental field trials since June 24 1994. Preliminary results show that the performance in the simulation environment is different from that in the real environment. Currently, the authors have achieved the recognition rate of 61.9% in the real environment.<<ETX>>\",\"PeriodicalId\":435907,\"journal\":{\"name\":\"Proceedings of 2nd IEEE Workshop on Interactive Voice Technology for Telecommunications Applications\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 2nd IEEE Workshop on Interactive Voice Technology for Telecommunications Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IVTTA.1994.341549\",\"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 of 2nd IEEE Workshop on Interactive Voice Technology for Telecommunications Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVTTA.1994.341549","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

提出了一种大词汇量、独立于说话人的语音识别系统(KT-STOCK)，并介绍了该系统在电话网络上的现场试验。KT-STOCK是在证券交易所上市的712个股票名称中，只要输入一个股票名称，就能知道该股票当前价格的信息检索系统。该系统是以类音素单元为基本单元的基于隐马尔可夫模型的孤立语音识别系统。KT-STOCK自1994年6月24日以来一直在进行试验性田间试验。初步结果表明，该系统在仿真环境下的性能与在真实环境下的性能有所不同。目前，作者在真实环境下的识别率达到了61.9%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

An experimental field trial of a large vocabulary speaker independent recognition system

Presents a large vocabulary, speaker independent speech recognition system (KT-STOCK) and describes its experimental field trial over the telephone network. KT-STOCK is an information retrieval system with which one can obtain the current price of a stock by saying a stock name among 712 stock names listed on the Korea stock exchange. The system is a HMM (hidden Markov model)-based isolated speech recognizer which uses the phoneme-like unit as a basic unit. KT-STOCK has been put under experimental field trials since June 24 1994. Preliminary results show that the performance in the simulation environment is different from that in the real environment. Currently, the authors have achieved the recognition rate of 61.9% in the real environment.<>

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proceedings of 2nd IEEE Workshop on Interactive Voice Technology for Telecommunications Applications

自引率

0.00%

发文量