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dc.contributor.authorBaker, Janet M.
dc.contributor.authorGlass, James R.
dc.contributor.authorKhudanpur, Sanjeev
dc.contributor.authorLee, Chin-Hui
dc.contributor.authorMorgan, Nelson
dc.contributor.authorO'Shaughnessy, Douglas
dc.date.accessioned2010-03-02T19:04:46Z
dc.date.available2010-03-02T19:04:46Z
dc.date.issued2009-04
dc.identifier.issn1053-5888
dc.identifier.urihttp://hdl.handle.net/1721.1/51891
dc.description.abstractTo 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.en
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen
dc.relation.isversionofhttp://dx.doi.org/10.1109/MSP.2009.932166en
dc.rightsArticle is made available in accordance with the publisher’s policy and may be subject to US copyright law. Please refer to the publisher’s site for terms of use.en
dc.sourceIEEEen
dc.titleResearch Developments and Directions in Speech Recognition and Understanding, Part 1en
dc.typeArticleen
dc.identifier.citationBaker, J.; Li Deng; Glass, J.; Khudanpur, S.; Chin-hui Lee; Morgan, N.; O'Shaughnessy, D.; , "Developments and directions in speech recognition and understanding, Part 1 [DSP Education]," Signal Processing Magazine, IEEE , vol.26, no.3, pp.75-80, May 2009 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4815544&isnumber=4815532 © 2009 Institute of Electrical and Electronics Engineersen
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.approverGlass, James R.
dc.contributor.mitauthorGlass, James R.
dc.relation.journalIEEE Signal Processing Magazineen
dc.eprint.versionFinal published versionen
dc.type.urihttp://purl.org/eprint/type/JournalArticleen
eprint.statushttp://purl.org/eprint/status/PeerRevieweden
dspace.orderedauthorsBaker, J.; Li Deng, J.; Glass, J.; Khudanpur, S.; Chin-hui Lee, S.; Morgan, N.; O'Shaughnessy, D.en
dc.identifier.orcidhttps://orcid.org/0000-0002-3097-360X
mit.licensePUBLISHER_POLICYen
mit.metadata.statusComplete


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