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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Hauptverfasser: Choi, Stanley Jungkyu, Kyehwan Lee, Minsoo Hahn
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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
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identifier ISSN: 0747-668X
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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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