@techreport{oai:ipsj.ixsq.nii.ac.jp:00057181,
 author = {西崎, 博光 and 伊藤友裕 and 関口, 芳廣 and 中川, 聖一 and Hiromitsu, Nishizaki and Yusuke, Itoh and Yoshihiro, Sekiguchi and Seiichi, Nakagawa},
 issue = {124(2003-SLP-049)},
 month = {Dec},
 note = {本稿では，インターネット上のＷＥＢ文書を利用した音声認識の誤り訂正方法について述べる．特にニュース音声を対象とし，固有名詞に限った誤り訂正実験を行った．正解・誤認識箇所の検出には，2つの音声認識システムを用いる．正解と判定された単語を検索エンジン用のキーワードを選定し，検索により得られた文書中から誤認識単語に対する正解候補を得る．そして，音韻的なマッチング手法により置換判定を行う．実験の結果，誤認識を起こした固有名詞の約16％を正しい単語に訂正することができた．, This paper describes an error correction method of continuous speech recognition using WEB documents. We performed an expriment of error correction for news speech automatically transcribed, where we focused on especially proper nouns. Two LVCSR systems were used to detect correctly and incorrectly recognized words. Keywords for the Internet search engine were selected among the correctly transcribed words, then correct candidates for the mis-recognized words were obtained in retrieved documents. Verification between the candidates and the mis-recognized words was utilized DP matching technique using a cofusion matrix. In an experimental result, we confirmed that about 16% of mis-recognized proper nouns were corrected into original words.},
 title = {WEB文書を利用した音声認識誤りの訂正方法の検討},
 year = {2003}
}