DocumentCode
1243289
Title
Developments and directions in speech recognition and understanding, Part 1 [DSP Education]
Author
Baker, Janet M. ; Deng, Li ; Glass, James ; Khudanpur, Sanjeev ; Lee, Chin-Hui ; Morgan, Nelson ; Shaughnessy, Douglas O.
Author_Institution
Saras Inst., Newton, MA
Volume
26
Issue
3
fYear
2009
fDate
5/1/2009 12:00:00 AM
Firstpage
75
Lastpage
80
Abstract
To advance research, it is important to identify promising future research directions, especially those that have not been adequately pursued or funded in the past. The working group producing this article was charged to elicit from the human language technology (HLT) community a set of well-considered directions or rich areas for future research that could lead to major paradigm shifts in the field of automatic speech recognition (ASR) and understanding. ASR has been an area of great interest and activity to the signal processing and HLT communities over the past several decades. As a first step, this group reviewed major developments in the field and the circumstances that led to their success and then focused on areas it deemed especially fertile for future research. Part 1 of this article will focus on historically significant developments in the ASR area, including several major research efforts that were guided by different funding agencies, and suggest general areas in which to focus research.
Keywords
research and development; speech recognition; automatic speech recognition; human language technology; infrastructure; knowledge representation; metadata; models and algorithms; search; signal processing; speech understanding; Automatic speech recognition; Costs; Digital signal processing; Hidden Markov models; History; Knowledge representation; Natural languages; Power system modeling; Speech recognition; Speech synthesis;
fLanguage
English
Journal_Title
Signal Processing Magazine, IEEE
Publisher
ieee
ISSN
1053-5888
Type
jour
DOI
10.1109/MSP.2009.932166
Filename
4815544
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