Tatsuya Komatsu
Tatsuya Komatsu
LINE Corporation
確認したメール アドレス: linecorp.com
タイトル
引用先
引用先
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 and …, 2016
622016
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 Signal …, 2016
342016
Initial stage of Pd adsorption on Si (111) 7× 7 surface studied by AES and EELS
S Nishigaki, T Komatsu, M Arimoto, M Sugihara
Surface science 167 (1), 27-38, 1986
111986
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
92018
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 and …, 2020
82020
Detection of anomaly acoustic scenes based on a temporal dissimilarity model
T Komatsu, R Kondo
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
82017
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
Multichannel loss function for supervised speech source separation by mask-based beamforming
Y Masuyama, M Togami, T Komatsu
arXiv preprint arXiv:1907.04984, 2019
52019
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 Signal …, 2013
42013
Convolution-augmented transformer for semisupervised sound event detection
K Miyazaki, T Komatsu, T Hayashi, S Watanabe, T Toda, K Takeda
Nagoya University, Japan, Tech. Rep, 2020
32020
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 Annual …, 2018
32018
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 and …, 2020
22020
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 Annual …, 2017
22017
Objective and subjective evaluation of complementary Wiener filter for speech dereverberation
K Ohtani, T Komatsu, K Kondo, T Nishino, K Takeda
Proceedings of Meetings on Acoustics ICA2013 19 (1), 055038, 2013
22013
Modeling head-related transfer functions via spatial-temporal gaussian process
T Komatsu, T Nishino, GW Peters, T Matsui, K Takeda
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
22013
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 and …, 2020
12020
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
12019
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 and …, 2019
12019
Bayesian Non-parametric Multi-source Modelling Based Determined Blind Source Separation
C Narisetty, T Komatsu, R Kondo
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
12019
Variational Bayesian Multi-Channel Speech Dereverberation Under Noisy Environments with Probabilistic Convolutive Transfer Function.
M Togami, T Komatsu
INTERSPEECH, 106-110, 2019
12019
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