Presentation 2014/12/8
Error Correction Using Long Context Match for Smartphone Speech Recognition
YUAN LIANG, KOJI IWANO, KOICHI SHINODA,
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Abstract(in English) Correcting speech recognition errors on a smartphone is a challenging task that requires a lot of user effort. To reduce this user effort, we previously proposed an error correction method based on Long Context Match (LCM) with higher-order N-grams, which we combined with a simple gesture-based user interface. However, LCM was used when there was only one substitution error exists in an utterance. In this paper, we extended LCM to be used when the contexts of the error region contain errors. We examined the error regions which contain only one error and confirmed the effectiveness of the extended LCM-based method.
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Keyword(in English) speech recognition / error correction interface / Web n-gram / candidate list / context
Paper # Vol.2014-SLP-104 No.22
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Committee SP
Conference Date 2014/12/8(1days)
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Registration To Speech (SP)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Error Correction Using Long Context Match for Smartphone Speech Recognition
Sub Title (in English)
Keyword(1) speech recognition
Keyword(2) error correction interface
Keyword(3) Web n-gram
Keyword(4) candidate list
Keyword(5) context
1st Author's Name YUAN LIANG
1st Author's Affiliation Tokyo Institute of Technology()
2nd Author's Name KOJI IWANO
2nd Author's Affiliation Tokyo City University
3rd Author's Name KOICHI SHINODA
3rd Author's Affiliation Tokyo Institute of Technology
Date 2014/12/8
Paper # Vol.2014-SLP-104 No.22
Volume (vol) vol.114
Number (no) 365
Page pp.pp.-
#Pages 6
Date of Issue