Kinoshita Yuma

キノシタユウマ | Kinoshita Yuma

Affiliation and department：
Other affiliations (1)：

Homepage URL (2)： https://sites.google.com/view/kinoshita-yuma/ , https://sites.google.com/view/kinoshita-yuma-en/

Research field (1)： Perceptual information processing

Research theme for competitive and other funds (2)：

Papers (80)：

Yoshiki Masuyama, Kouei Yamaoka, Yuma Kinoshita, Taishi Nakashima, Nobutaka Ono. Causal and Relaxed-Distortionless Response Beamforming for Online Target Source Extraction. IEEE ACM Trans. Audio Speech Lang. Process. 2024. 32. 310-324
Yuma Kinoshita, Kouei Yamaoka, Hitoshi Kiya. Maximization of 2D Cross-Correlation Based on Auxiliary Function Method for Image Alignment. APSIPA Annual Summit and Conference. 2023. 2032.0-2036.0
Takao Kawamura, Yuma Kinoshita, Nobutaka Ono, Robin Scheibler. Effectiveness of Inter- and Intra-Subarray Spatial Features for Acoustic Scene Classification. IEEE International Conference on Acoustics, Speech and Signal Processing. 2023
Tomohiro Takahashi, Yuma Kinoshita, Yukoh Wakabayashi, Nobutaka Ono, Jun Honda, Seishi Fukuma, Aoi Kitamori, Hiroshi Nakagawa. Acoustic Traffic Monitoring Based on Deep Neural Network Trained by Stereo-Recorded Sound and Sensor Data. EUSIPCO. 2023. 935-939
Minato Uesaka, Hideto Kawauchi, Kouei Yamaoka, Yukoh Wakabayashi, Yuma Kinoshita, Nobutaka Ono, Jun Noguchi, Satoshi Watanabe, Noritaka Ichinohe, Seico Benner, et al. Automatic Call Classification of Autism Model Marmosets by Deep Learning and Analysis of Their Vocal Development. APSIPA ASC. 2023. 2233-2237

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MISC (47)：

木下裕磨. 標準電波の同時収録に基づく音信号同期フレームワークの検討. 電子情報通信学会総合大会. 2024
XiaoYang Liu, Yuma Kinoshita. Sound-To-Light Conversion via Pre-trained Auto-Encoder for Acoustic Scene Classification Using Blinky. 電子情報通信学会総合大会. 2024
本山智司, 植野夏樹, 安田昌弘, 木下裕磨, 小野順貴. 音光変換デバイス「ブリンキー」の分散配置に基づく発話検出のシミュレーション評価. 電子情報通信学会応用音響研究会. 2024. 123.0. 401.0. 382.0-387.0
木下裕磨, 山岡洸瑛, 貴家仁志. 画像アライメントを目的とした 2 次元相互相関関数の補助関数法に基づく最大化. 電子情報通信学会信号処理シンポジウム. 2023
髙橋知宏, 木下裕磨, 植野夏樹, 若林佑幸, 小野順貴, 本多潤, 福馬誠士, 北森葵, 中川浩. フレームシフトの調整による低速度域車両走行音のデータ拡張. 日本音響学会秋季研究発表会. 2023. 391.0-394.0

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Books (1)：

Adversarial Examples and Defenses (Book chapter)
Springer, Singapore 2022 ISBN:9789811915239

Lectures and oral presentations (102)：

標準電波の同時収録に基づく音信号同期フレームワークの検討
(電子情報通信学会総合大会 2024)
Sound-To-Light Conversion via Pre-trained Auto-Encoder for Acoustic Scene Classification Using Blinky
(電子情報通信学会総合大会 2024)
音光変換デバイス「ブリンキー」の分散配置に基づく発話検出のシミュレーション評価
(電子情報通信学会応用音響研究会 2024)
画像アライメントを目的とした 2 次元相互相関関数の補助関数法に基づく最大化
(電子情報通信学会信号処理シンポジウム 2023)
Maximization of 2D Cross-Correlation Based on Auxiliary Function Method for Image Alignment
(APSIPA Annual Summit and Conference 2023)

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Education (4)：

Professional career (3)：

Work history (7)：

2023/04 - 現在 Tokyo Metropolitan College of Industrial Technology
2023/04 - 現在 Tokyo Metropolitan University
2022/04 - 現在 Tokai University School of Information Science and Technology Department of Human and Information Science
2022/06 - 2023/03 Tokyo Metropolitan University Department of Computer Science
2020/04 - 2022/03 東京都立大学システムデザイン学部情報科学科特任助教

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Committee career (1)：

2020 - 2020 The 5th Workshop on Detection and Classification of Acoustic Scenes and Events Registration Chair

Awards (8)：

2021/12 - Asia-Pacific Signal and Information Processing Association APSIPA Annual Summit and Conference 2021 Best Paper Award Analysis on Roles of DNNs in End-to-End Acoustic Scene Analysis Framework with Distributed Sound-to-Light Conversion Devices
2021/03 - 電気通信普及財団テレコムシステム技術学生賞入賞
2020/03 - 電子情報通信学会信号処理研究会賞
2020/01 - The 23rd International Workshop on Advanced Image Technology (IWAIT2020) Best Paper Award
2019/10 - IEEE Global Conference on Consumer Electronics (GCCE2019) Excellent Paper Award Gold Prize

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Association Membership(s) (4)：

IEEE , 電気情報通信学会 , 日本音響学会 , APSIPA

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