IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01.最新文献_第2页

Speech data retrieval system constructed on a universal phonetic code domain 基于通用语音码域的语音数据检索系统

IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. Pub Date : 2001-12-09 DOI: 10.1109/ASRU.2001.1034652

K. Tanaka, Y. Itoh, H. Kojima, Nahoko Fujimura

引用次数: 23

Ubiquitous speech communication interface 无处不在的语音通信接口

IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. Pub Date : 2001-12-09 DOI: 10.1109/ASRU.2001.1034595

B. Juang

{"title":"Ubiquitous speech communication interface","authors":"B. Juang","doi":"10.1109/ASRU.2001.1034595","DOIUrl":"https://doi.org/10.1109/ASRU.2001.1034595","url":null,"abstract":"The Holy Grail of telecommunication is to bring people thousands miles apart, anytime, anywhere, together to communicate as if they were having a face-to-face conversation in a ubiquitous telepresence scenario. One key component necessary to reach this Holy Grail is the technology that supports hands-free speech communication. Hands-free telecommunication (both telephony and teleconferencing) refers to a communication mode in which the participants interact with each other over a communication network, without having to wear or hold any special device. For speech communications, we normally need a loudspeaker, a microphone or a headset. The goal of hands-free speech communication is thus to provide the users with an intelligent voice interface, which provides high quality communication and is safe, convenient, and natural to use. This goal stipulates many challenging technical issues, such as multiple sound sources, echo and reverberation in the room, and natural human-machine interaction, the resolution of which needs to be integrated into a working system before the benefit of hands-free telecommunication can be realized. We analyze these issues and review progress made in the last two decades, particularly from the viewpoint of signal acquisition, restoration and enhancement. We lay out new technical dimensions that may lead to further advances towards realization of a truly ubiquitous speech communication interface to an intelligent information source, be it a human or a machine.","PeriodicalId":118671,"journal":{"name":"IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01.","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130249812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Dynamic sharings of Gaussian densities using phonetic features 使用语音特征的高斯密度动态共享

IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. Pub Date : 2001-12-09 DOI: 10.1109/ASRU.2001.1034675

Kyung-Tak Lee, C. Wellekens

引用次数: 2

Continuous multi-band speech recognition using Bayesian networks 基于贝叶斯网络的连续多波段语音识别

IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. Pub Date : 2001-12-09 DOI: 10.1109/ASRU.2001.1034584

K. Daoudi, D. Fohr, Christophe Antoine

引用次数: 17

Bridging the gap between mixed-initiative dialogs and reusable sub-dialogs 弥合混合主动性对话框和可重用子对话框之间的差距

IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. Pub Date : 2001-12-09 DOI: 10.1109/ASRU.2001.1034641

S. Kronenberg, P. Regel-Brietzman

引用次数: 2

Multispeaker speech activity detection for the ICSI meeting recorder 用于ICSI会议记录器的多扬声器语音活动检测

IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. Pub Date : 2001-12-09 DOI: 10.1109/ASRU.2001.1034599

T. Pfau, Daniel P. W. Ellis, Andreas Stolcke

{"title":"Multispeaker speech activity detection for the ICSI meeting recorder","authors":"T. Pfau, Daniel P. W. Ellis, Andreas Stolcke","doi":"10.1109/ASRU.2001.1034599","DOIUrl":"https://doi.org/10.1109/ASRU.2001.1034599","url":null,"abstract":"As part of a project into speech recognition in meeting environments, we have collected a corpus of multichannel meeting recordings. We expected the identification of speaker activity to be straightforward given that the participants had individual microphones, but simple approaches yielded unacceptably erroneous labelings, mainly due to crosstalk between nearby speakers and wide variations in channel characteristics. Therefore, we have developed a more sophisticated approach for multichannel speech activity detection using a simple hidden Markov model (HMM). A baseline HMM speech activity detector has been extended to use mixtures of Gaussians to achieve robustness for different speakers under different conditions. Feature normalization and crosscorrelation processing are used to increase the channel independence and to detect crosstalk. The use of both energy normalization and crosscorrelation based postprocessing results in a 35% relative reduction of the frame error rate. Speech recognition experiments show that it is beneficial in this multispeaker setting to use the output of the speech activity detector for presegmenting the recognizer input, achieving word error rates within 10% of those achieved with manual turn labeling.","PeriodicalId":118671,"journal":{"name":"IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01.","volume":"13 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120836563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 114

Out-of-vocabulary word modeling using multiple lexical fillers 使用多个词汇填充符的词汇外单词建模

IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. Pub Date : 2001-12-09 DOI: 10.1109/ASRU.2001.1034628

Gilles Boulianne, P. Dumouchel

引用次数: 4

Automatic selection of transcribed training material 自动选择转录培训材料

IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. Pub Date : 2001-12-09 DOI: 10.1109/ASRU.2001.1034673

T. Kamm, Gerald G. Meyer

引用次数: 16

Grammar learning for spoken language understanding 口语理解的语法学习

IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. Pub Date : 2001-12-09 DOI: 10.1109/ASRU.2001.1034645

Ye-Yi Wang, A. Acero

引用次数: 30

The symbiosis of DSP and speech recognition or an outsider's view of the inside DSP与语音识别的共生还是一个局外人的观点

IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. Pub Date : 2001-12-09 DOI: 10.1109/ASRU.2001.1034575

J. Kaiser

引用次数: 1