Research Developments and Directions in Speech Recognition and Understanding, Part 1
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-conside...
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| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers
2010
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| Online Access: | http://hdl.handle.net/1721.1/51891 https://orcid.org/0000-0002-3097-360X |
| _version_ | 1811075118309310464 |
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| author | Baker, Janet M. Glass, James R. Khudanpur, Sanjeev Lee, Chin-Hui Morgan, Nelson O'Shaughnessy, Douglas |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Baker, Janet M. Glass, James R. Khudanpur, Sanjeev Lee, Chin-Hui Morgan, Nelson O'Shaughnessy, Douglas |
| author_sort | Baker, Janet M. |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T10:01:07Z |
| format | Article |
| id | mit-1721.1/51891 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T10:01:07Z |
| publishDate | 2010 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | mit-1721.1/518912022-09-26T15:11:31Z Research Developments and Directions in Speech Recognition and Understanding, Part 1 Baker, Janet M. Glass, James R. Khudanpur, Sanjeev Lee, Chin-Hui Morgan, Nelson O'Shaughnessy, Douglas Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Glass, James R. Glass, James R. 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. 2010-03-02T19:04:46Z 2010-03-02T19:04:46Z 2009-04 Article http://purl.org/eprint/type/JournalArticle 1053-5888 http://hdl.handle.net/1721.1/51891 Baker, 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 Engineers https://orcid.org/0000-0002-3097-360X en_US http://dx.doi.org/10.1109/MSP.2009.932166 IEEE Signal Processing Magazine Article 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. application/pdf Institute of Electrical and Electronics Engineers IEEE |
| spellingShingle | Baker, Janet M. Glass, James R. Khudanpur, Sanjeev Lee, Chin-Hui Morgan, Nelson O'Shaughnessy, Douglas Research Developments and Directions in Speech Recognition and Understanding, Part 1 |
| title | Research Developments and Directions in Speech Recognition and Understanding, Part 1 |
| title_full | Research Developments and Directions in Speech Recognition and Understanding, Part 1 |
| title_fullStr | Research Developments and Directions in Speech Recognition and Understanding, Part 1 |
| title_full_unstemmed | Research Developments and Directions in Speech Recognition and Understanding, Part 1 |
| title_short | Research Developments and Directions in Speech Recognition and Understanding, Part 1 |
| title_sort | research developments and directions in speech recognition and understanding part 1 |
| url | http://hdl.handle.net/1721.1/51891 https://orcid.org/0000-0002-3097-360X |
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