Tatsuya Komatsu
Tatsuya Komatsu
LINE Corporation
Verified email at linecorp.com
Title
Cited by
Cited by
Year
Acoustic event detection method using semi-supervised non-negative matrix factorization with a mixture of local dictionaries
T Komatsu, T Toizumi, R Kondo, Y Senda
Proceedings of the Detection and Classification of Acoustic Scenes andá…, 2016
732016
Acoustic event detection based on non-negative matrix factorization with mixtures of local dictionaries and activation aggregation
T Komatsu, Y Senda, R Kondo
2016 IEEE International Conference on Acoustics, Speech and Signalá…, 2016
392016
Weakly-supervised sound event detection with self-attention
K Miyazaki, T Komatsu, T Hayashi, S Watanabe, T Toda, K Takeda
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech andá…, 2020
252020
Convolution-augmented transformer for semisupervised sound event detection
K Miyazaki, T Komatsu, T Hayashi, S Watanabe, T Toda, K Takeda
Proc. Workshop Detection Classification Acoust. Scenes Events (DCASE), 100-104, 2020
232020
Anomalous sound event detection based on wavenet
T Hayashi, T Komatsu, R Kondo, T Toda, K Takeda
2018 26th European Signal Processing Conference (EUSIPCO), 2494-2498, 2018
202018
Conformer-based sound event detection with semi-supervised learning and data augmentation
K Miyazaki, T Komatsu, T Hayashi, S Watanabe, T Toda, K Takeda
dim 1, 4, 2020
142020
Initial stage of Pd adsorption on Si (111) 7Î 7 surface studied by AES and EELS
S Nishigaki, T Komatsu, M Arimoto, M Sugihara
Surface science 167 (1), 27-38, 1986
101986
Detection of anomaly acoustic scenes based on a temporal dissimilarity model
T Komatsu, R Kondo
2017 IEEE International Conference on Acoustics, Speech and Signalá…, 2017
92017
Unsupervised training for deep speech source separation with Kullback-Leibler divergence based probabilistic loss function
M Togami, Y Masuyama, T Komatsu, Y Nakagome
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech andá…, 2020
62020
Multichannel loss function for supervised speech source separation by mask-based beamforming
Y Masuyama, M Togami, T Komatsu
arXiv preprint arXiv:1907.04984, 2019
62019
Metastable-atom deexcitation spectroscopy of clean and Ag-adsorbed Si (111) surfaces
S Nishigaki, K Takao, T Yamada, M Arimoto, T Komatsu
Surface Science 158 (1-3), 473-481, 1985
61985
Relaxing the Conditional Independence Assumption of CTC-based ASR by Conditioning on Intermediate Predictions
J Nozaki, T Komatsu
arXiv preprint arXiv:2104.02724, 2021
42021
Weakly labeled learning using BLSTM-CTC for sound event detection
T Matsuyoshi, T Komatsu, R Kondo, T Yamada, S Makino
2018 Asia-Pacific Signal and Information Processing Association Annualá…, 2018
42018
Computationally efficient single channel dereverberation based on complementary Wiener filter
K Kondo, Y Takahashi, T Komatsu, T Nishino, K Takeda
2013 IEEE International Conference on Acoustics, Speech and Signalá…, 2013
42013
Disentangled Speaker and Language Representations Using Mutual Information Minimization and Domain Adaptation for Cross-Lingual TTS
D Xin, T Komatsu, S Takamichi, H Saruwatari
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech andá…, 2021
32021
Scene-dependent acoustic event detection with scene conditioning and fake-scene-conditioned loss
T Komatsu, K Imoto, M Togami
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech andá…, 2020
32020
Overview of tasks and investigation of subjective evaluation methods in environmental sound synthesis and conversion
Y Okamoto, K Imoto, T Komatsu, S Takamichi, T Yagyu, R Yamanishi, ...
arXiv preprint arXiv:1908.10055, 2019
32019
Scene-dependent anomalous acoustic-event detection based on conditional Wavenet and i-vector
T Komatsu, T Hayashiy, R Kondo, T Todaz, K Takeday
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech andá…, 2019
32019
An acoustic monitoring system and its field trials
T Komatsu, M Tani, T Toizumi, N Chaitanya, M Kato, Y Arai, ...
2017 Asia-Pacific Signal and Information Processing Association Annualá…, 2017
32017
Differentially Private Variational Autoencoders with Term-wise Gradient Aggregation
T Takahashi, S Takagi, H Ono, T Komatsu
arXiv preprint arXiv:2006.11204, 2020
22020
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Articles 1–20