Utilizing multiple speech recognizers to improve spoken language understanding performance
This paper proposes the method of enhancing the spoken language understanding performance by employing general domain and domain specific speech recognizer. Apply intent to the result from general domain and domain specifically trained speech recognizer. Verify that lexico-semantic pattern matching...
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creator | Choi, Stanley Jungkyu Kyehwan Lee Minsoo Hahn |
description | This paper proposes the method of enhancing the spoken language understanding performance by employing general domain and domain specific speech recognizer. Apply intent to the result from general domain and domain specifically trained speech recognizer. Verify that lexico-semantic pattern matching is the target pattern, then calculate phoneme string similarity from the named entity result and select the intent. Result of the experiment indicates that the proposed method satisfies both general domain and target domain performances. |
doi_str_mv | 10.1109/ISCE.2014.6884346 |
format | Conference Proceeding |
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Apply intent to the result from general domain and domain specifically trained speech recognizer. Verify that lexico-semantic pattern matching is the target pattern, then calculate phoneme string similarity from the named entity result and select the intent. 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Apply intent to the result from general domain and domain specifically trained speech recognizer. Verify that lexico-semantic pattern matching is the target pattern, then calculate phoneme string similarity from the named entity result and select the intent. Result of the experiment indicates that the proposed method satisfies both general domain and target domain performances.</description><subject>Grammar</subject><subject>hybrid speech recognition</subject><subject>Multiple Speech recognition</subject><subject>Pattern matching</subject><subject>Speech</subject><subject>Speech processing</subject><subject>Speech recognition</subject><subject>Spoken language understanding</subject><subject>Target recognition</subject><subject>Text recognition</subject><issn>0747-668X</issn><issn>2159-1423</issn><isbn>9781479945924</isbn><isbn>1479945927</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2014</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkM9KAzEYxKMoWGsfQLzkBbbmS7L5c5RStVDwYAXxUrLZb9fobnbJbgX79LZY5jCHGX4wQ8gtsDkAs_er18VyzhnIuTJGCqnOyMxqA1JbK3PL5TmZcMhtBpKLCzJhWupMKfN-Ra6H4Ysxrq2wE_LxNoYm7EOsabtrxtA3SIce0X_ShL6rY9hjGujY0dD2qfs5pt03Rtq4WO9cjXQXy0NjdLE8QnpMVZdaFz3ekMvKNQPOTj4lm8flZvGcrV-eVouHdRYsGzNuBHjhDytMUUJuZMWkzrHiUgIoz6ESTpdMusKWxUFWgciFK5XQnqkCxZTc_WMDIm77FFqXfrenV8QfXytWcw</recordid><startdate>201406</startdate><enddate>201406</enddate><creator>Choi, Stanley Jungkyu</creator><creator>Kyehwan Lee</creator><creator>Minsoo Hahn</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201406</creationdate><title>Utilizing multiple speech recognizers to improve spoken language understanding performance</title><author>Choi, Stanley Jungkyu ; Kyehwan Lee ; Minsoo Hahn</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-2831c3c6888bd1584f0475ef244116c21f3a7d04ab9dbdbd961353ad637c06be3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Grammar</topic><topic>hybrid speech recognition</topic><topic>Multiple Speech recognition</topic><topic>Pattern matching</topic><topic>Speech</topic><topic>Speech processing</topic><topic>Speech recognition</topic><topic>Spoken language understanding</topic><topic>Target recognition</topic><topic>Text recognition</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Choi, Stanley Jungkyu</creatorcontrib><creatorcontrib>Kyehwan Lee</creatorcontrib><creatorcontrib>Minsoo Hahn</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Choi, Stanley Jungkyu</au><au>Kyehwan Lee</au><au>Minsoo Hahn</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Utilizing multiple speech recognizers to improve spoken language understanding performance</atitle><btitle>The 18th IEEE International Symposium on Consumer Electronics (ISCE 2014)</btitle><stitle>ISCE</stitle><date>2014-06</date><risdate>2014</risdate><spage>1</spage><epage>2</epage><pages>1-2</pages><issn>0747-668X</issn><eissn>2159-1423</eissn><eisbn>9781479945924</eisbn><eisbn>1479945927</eisbn><abstract>This paper proposes the method of enhancing the spoken language understanding performance by employing general domain and domain specific speech recognizer. Apply intent to the result from general domain and domain specifically trained speech recognizer. Verify that lexico-semantic pattern matching is the target pattern, then calculate phoneme string similarity from the named entity result and select the intent. Result of the experiment indicates that the proposed method satisfies both general domain and target domain performances.</abstract><pub>IEEE</pub><doi>10.1109/ISCE.2014.6884346</doi><tpages>2</tpages></addata></record> |
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identifier | ISSN: 0747-668X |
ispartof | The 18th IEEE International Symposium on Consumer Electronics (ISCE 2014), 2014, p.1-2 |
issn | 0747-668X 2159-1423 |
language | eng |
recordid | cdi_ieee_primary_6884346 |
source | IEEE Electronic Library (IEL) |
subjects | Grammar hybrid speech recognition Multiple Speech recognition Pattern matching Speech Speech processing Speech recognition Spoken language understanding Target recognition Text recognition |
title | Utilizing multiple speech recognizers to improve spoken language understanding performance |
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