Yuta Kawachi
Yuta Kawachi
DENSO IT Laboratory, Inc.
Verified email at ieee.org
Title
Cited by
Cited by
Year
Unsupervised detection of anomalous sound based on deep learning and the neyman–pearson lemma
Y Koizumi, S Saito, H Uematsu, Y Kawachi, N Harada
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (1), 212-224, 2018
692018
Complementary set variational autoencoder for supervised anomaly detection
Y Kawachi, Y Koizumi, N Harada
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
512018
A two-class hyper-spherical autoencoder for supervised anomaly detection
Y Kawachi, Y Koizumi, S Murata, N Harada
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
102019
Model learning apparatus, model learning method, and program
Y Kawachi, Y Koizumi, N Harada
US Patent App. 16/970,330, 2021
2021
Model learning apparatus, model learning method, and program
Y KAWACHI, Y KOIZUMI, N Harada
US Patent App. 16/969,145, 2020
2020
Anomalous sound detection apparatus, anomaly model learning apparatus, anomaly detection apparatus, anomalous sound detection method, anomalous sound generation apparatus …
Y Koizumi, Y Kawachi, N Harada, S Saito, A Nakagawa, S Murata
US Patent App. 16/643,916, 2020
2020
Unsupervised Auto-Encoding Multiple-Object Tracker for Constraint-Consistent Combinatorial Problem
Y Kawachi, T Suzuki
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
2020
動作音から機器異常を検知する異常音検知技術 (特集 IoT・AI× 音 (最新の情報技術と音響技術との関わり))
齊藤翔一郎, 小泉悠馬, 河内祐太, 植松尚, 中川朗, 原田登
騒音制御= The journal of the INCE of Japan 42 (1), 8-11, 2018
2018
マルコフ性を明示的に考慮した CTC ネットワークの提案 (情報論的学習理論と機械学習)
河内祐太, 浅見太一, 山口義和, 青野裕司
電子情報通信学会技術研究報告= IEICE technical report: 信学技報 116 (500), 83-88, 2017
2017
英語レベル連結 DNN 音響モデルを用いた日本人英語音声認識の評価
河内祐太, 政瀧浩和, 浅見太一, 青野裕司
電子情報通信学会技術研究報告; 信学技報 116 (165), 1-6, 2016
2016
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