@techreport{oai:ipsj.ixsq.nii.ac.jp:00057060,
 author = {中村, 哲 and 武田, 一哉 and 黒岩, 眞吾 and 北岡, 教英 and 山田, 武志 and 山本, 一公 and 西浦, 敬信 and 佐宗, 晃 and 水町, 光徳 and 宮島, 千代美 and 藤本, 雅清 and 遠藤, 俊樹 and Satoshi, Nakamura and Kazuya, Takeda and Shingo, Kuroiwa and Norihide, Kitaoka and Takeshi, Yamada and Kazumasa, Yamamoto and Takanobu, Nishiura and Akira, Sasou and Mitsunoti, Mizumachi and Chiyomi, Miyajima and Masakiyo, Fujimoto and Toshiki, Endo},
 issue = {131(2004-SLP-054)},
 month = {Dec},
 note = {現在の音声認識は．実使用環境に依存する雑音などの外的要因により性能劣化を免れない．このため，これまで数々の研究が行われてきた．しかしながら，異なるタスク，異なる評価データが用いられてきたため性能の比較が非常に困難であった．このため，米国や欧州で種々のプロジェクトが企画された．本稿では，これらのプロジェクトと日本において著者らが進めている雑音下音声認識の評価フレームワーク構築の活動についての現状と今後の予定，狙いについて述べる．, Performance degradation by environmental interference such as noise and reverberation is inevitable for the current state of the art speech recognition. So far there have been many researches to overcome this problem. However, it has been very difficult to know actual improvements and compare those methods since those methods were developed for individual tasks and on different corpus. Recently, two projects have been organized in USA and Europe. This paper introduces those projects briefly, and also introduces current activities and a future road-map of a common standardized framework for noisy speech recognition organized by the authors.},
 title = {実環境下音声認識の評価の標準化とその動向},
 year = {2004}
}