Noise robust hands-free speech recognition using microphone array and Kalman filter as front-end system of conversational TV

M. Fujimoto, Y. Ariki
{"title":"Noise robust hands-free speech recognition using microphone array and Kalman filter as front-end system of conversational TV","authors":"M. Fujimoto, Y. Ariki","doi":"10.1109/MMSP.2002.1203297","DOIUrl":null,"url":null,"abstract":"In this paper, we investigate hands-free speech recognition as front-end system of conversational TV. The conversational TV is one of machine conversation systems to retrieve the interesting information by inquiring it to the TV. To realize the natural machine conversation without consciousness of microphone, hands-free speech recognition is required. In the hands-free speech recognition system, the directions of the arriving signal are estimated by using a microphone array and the desired signal is enhanced by beam forming. Then, the user utterance section is detected automatically from continuously observed signal. Furthermore, by applying the noise reduction and noise adaptation, the enhanced speech signal is recognized accurately.","PeriodicalId":398813,"journal":{"name":"2002 IEEE Workshop on Multimedia Signal Processing.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2002 IEEE Workshop on Multimedia Signal Processing.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMSP.2002.1203297","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

In this paper, we investigate hands-free speech recognition as front-end system of conversational TV. The conversational TV is one of machine conversation systems to retrieve the interesting information by inquiring it to the TV. To realize the natural machine conversation without consciousness of microphone, hands-free speech recognition is required. In the hands-free speech recognition system, the directions of the arriving signal are estimated by using a microphone array and the desired signal is enhanced by beam forming. Then, the user utterance section is detected automatically from continuously observed signal. Furthermore, by applying the noise reduction and noise adaptation, the enhanced speech signal is recognized accurately.
基于麦克风阵列和卡尔曼滤波的会话电视语音识别前端系统
本文研究了作为会话电视前端系统的免提语音识别。会话电视是一种通过对电视进行查询来检索感兴趣的信息的机器会话系统。为了实现没有麦克风意识的自然机器对话,需要实现免提语音识别。在免提语音识别系统中,使用麦克风阵列估计到达信号的方向,并通过波束形成增强期望信号。然后,从连续观察到的信号中自动检测用户的话语部分。通过降噪和噪声自适应,对增强后的语音信号进行了准确识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信