Research Developments and Directions in Speech Recognition and Understanding, Part 1

被引：120

作者：

Baker, Janet M. ^{[1
,2
]}

Deng, Li ^{[3
,4
]}

Glass, James ^{[5
]}

Khudanpur, Sanjeev ^{[6
]}

Lee, Chin-Hui ^{[7
,8
]}

Morgan, Nelson ^{[9
,10
]}

O'Shaughnessy, Douglas ^{[11
]}

机构：

[1] Dragon Syst, W Newton, MA USA

[2] Saras Inst, W Newton, MA USA

[3] Microsoft Res, Redmond, WA USA

[4] Univ Washington, Seattle, WA 98195 USA

[5] MIT, Comp Sci & Artificial Intelligence Lab, Cambridge, MA 02139 USA

[6] Johns Hopkins Univ, GWC Whiting Sch Engn, Baltimore, MD 21218 USA

[7] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA

[8] Bell Labs, Murray Hill, NJ 07974 USA

[9] Univ Calif Berkeley, Independent Nonprofit Res Lab, Berkeley, CA 94720 USA

[10] Univ Calif Berkeley, Dept EECS, Berkeley, CA 94720 USA

[11] Univ Quebec, INRS EMT, Ste Foy, PQ G1V 2M3, Canada

来源：

IEEE SIGNAL PROCESSING MAGAZINE | 2009年 / 26卷 / 03期

关键词：

MAXIMUM-LIKELIHOOD;

D O I：

10.1109/MSP.2009.932166

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A review with regards to the major developments in automatic speech recognition (ASR) in five areas has been given. These five areas are infrastructure, knowledge representation, models and algorithms, search, and metadata. Meanwhile, other topics have also been discussed which includes: everyday audio, rapid portability, self-adaptive language capabilities, cognition-derived speech and language systems, and spoken-language comprehension.

引用

页码：75 / 80

页数：6

共 51 条

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