K
Kazuya Takeda
Researcher at Nagoya University
Publications - 546
Citations - 9667
Kazuya Takeda is an academic researcher from Nagoya University. The author has contributed to research in topics: Speech processing & Speech enhancement. The author has an hindex of 42, co-authored 495 publications receiving 7719 citations. Previous affiliations of Kazuya Takeda include Kobe Women's University & Nara Institute of Science and Technology.
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Journal Article
A Discussion on the Consistency of Driving Behavior across Laboratory and Real Situational Studies
Hitoshi Terai,Kazuhisa Miwa,Hiroyuki Okuda,Yuichi Tazaki,Tatsuya Suzuki,Kazuaki Kojima,Junya Morita,Akihiro Maehigashi,Kazuya Takeda +8 more
TL;DR: This study investigated the degrees of consistencies in driving behavior when operating a real system, a virtual sys- tem (high fidelity driving simulator), and a laboratory system (computer driving game) and the same tendency of behavioral consistencies was confirmed among the three systems.
Proceedings ArticleDOI
Computationally efficient single channel dereverberation based on complementary wiener filter
TL;DR: The complementary Wiener filter is introduced which can suppress a late reverberation during silence intervals via theoretical analysis and numerical calculation and represents reductions both of memory consumption and operative calculations compared to a conventional method.
Journal ArticleDOI
Allergic Fungal Rhinosinusitis in Japan : A Clinical Analysis of 8 Cases from Our Institute and a Review of 29 Cases Reported Nationwide
Ayaka Nakatani,Yohei Maeda,Masaki Hayama,Takashi Shikina,Sho Obata,Kazuya Takeda,Takeshi Tsuda,Hidenori Inohara +7 more
Proceedings ArticleDOI
A Comparison of Methods for Sharing Recognition Information and Interventions to Assist Recognition in Autonomous Driving System
TL;DR: In this article, the authors proposed a recognition assistance interface to solve the problem of achieving flawless, automated perception and understanding of the driving environment by sharing recognition information with the passenger, allowing them to assist in the recognition stage of the autonomous driving process.