Using graphone models in automatic speech recognition
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2010
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| Online Access: | http://hdl.handle.net/1721.1/53114 |
| _version_ | 1826214409415950336 |
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| author | Wang, Stanley Xinlei |
| author2 | James R. Glass and I. Lee Hetherington. |
| author_facet | James R. Glass and I. Lee Hetherington. Wang, Stanley Xinlei |
| author_sort | Wang, Stanley Xinlei |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009. |
| first_indexed | 2024-09-23T16:04:59Z |
| format | Thesis |
| id | mit-1721.1/53114 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T16:04:59Z |
| publishDate | 2010 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/531142019-04-12T13:44:09Z Using graphone models in automatic speech recognition Wang, Stanley Xinlei James R. Glass and I. Lee Hetherington. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009. Includes bibliographical references (p. 87-90). This research explores applications of joint letter-phoneme subwords, known as graphones, in several domains to enable detection and recognition of previously unknown words. For these experiments, graphones models are integrated into the SUMMIT speech recognition framework. First, graphones are applied to automatically generate pronunciations of restaurant names for a speech recognizer. Word recognition evaluations show that graphones are effective for generating pronunciations for these words. Next, a graphone hybrid recognizer is built and tested for searching song lyrics by voice, as well as transcribing spoken lectures in a open vocabulary scenario. These experiments demonstrate significant improvement over traditional word-only speech recognizers. Modifications to the flat hybrid model such as reducing the graphone set size are also considered. Finally, a hierarchical hybrid model is built and compared with the flat hybrid model on the lecture transcription task. by Stanley Xinlei Wang. M.Eng. 2010-03-25T15:02:56Z 2010-03-25T15:02:56Z 2009 2009 Thesis http://hdl.handle.net/1721.1/53114 503114771 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 90 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Wang, Stanley Xinlei Using graphone models in automatic speech recognition |
| title | Using graphone models in automatic speech recognition |
| title_full | Using graphone models in automatic speech recognition |
| title_fullStr | Using graphone models in automatic speech recognition |
| title_full_unstemmed | Using graphone models in automatic speech recognition |
| title_short | Using graphone models in automatic speech recognition |
| title_sort | using graphone models in automatic speech recognition |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/53114 |
| work_keys_str_mv | AT wangstanleyxinlei usinggraphonemodelsinautomaticspeechrecognition |