@techreport{oai:ipsj.ixsq.nii.ac.jp:00057024,
 author = {藤本, 雅清 and 中村, 哲 and 武田, 一哉 and 黒岩, 眞吾 and 山田, 武志 and 北岡, 教英 and 山本, 一公 and 水町, 光徳 and 西浦, 敬信 and 佐宗, 晃 and 宮島, 千代美 and 遠藤, 俊樹 and Masakiyo, Fujimoto and Satoshi, Nakamura and Kazuya, Takeda and Shingo, Kuroiwa and Takeshi, Yamada and Norihide, Kitaoka and Kazumasa, Yamamoto and Mitsunoti, Mizumachi and Takanobu, Nishiura and Akira, Sasou and Chiyomi, Miyajima and Toshiki, Endo},
 issue = {12(2004-SLP-055)},
 month = {Feb},
 note = {本稿では，SLP雑音下音声認識評価ワーキンググループの活動成果として，自動車内音声認識の評価用データベースCENSREC-3と，標準評価スクリプトによるベースライン評価結果について述べる．CENSREC-3の音声認識タスクは，実走行車内での孤立単語音声認識であり，音声データの収録は，接話マイクロホンと遠隔マイクロホンの2種類を用いて，3種類の走行速度と6種類の車内環境を組み合わせた16種類の環境下で行っている．CENSREC-3では，これら様々な環境したで収録された音声データを用いた6種類の評価環境を提供する．, This paper introduces a common database, an evaluation framework, and its baseline recognition results for in-car speech recognition, CENSREC-3, as an outcome of IPSJ-SIG SLP Noisy Speech Recognition Evaluation Working Group. CENSREC-3 which is a sequel of AURORA-2J is designed as the evaluation framework of isolated word recognition in real driving car environments. Speech data was collected using 2 microphones, a close-talking microphone and a hands-free microphone, under carefully controlled 16 different driving conditions, i.e., combinations of 3 car speeds and 5 car conditions. CENSREC-3 provides 6 evaluation environments which are designed using speech data collected in these},
 title = {実走行車内単語音声データベースCENSREC-3と共通評価環境の構築},
 year = {2005}
}