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Yu Nakagome
Yu Nakagome
LINE WORKS
確認したメール アドレス: line-works.com
タイトル
引用先
引用先
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
272020
Mentoring-Reverse Mentoring for Unsupervised Multi-Channel Speech Source Separation.
Y Nakagome, M Togami, T Ogawa, T Kobayashi
Interspeech, 86-90, 2020
142020
Deep speech extraction with time-varying spatial filtering guided by desired direction attractor
Y Nakagome, M Togami, T Ogawa, T Kobayashi
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
62020
InterAug: Augmenting Noisy Intermediate Predictions for CTC-based ASR
Y Nakagome, T Komatsu, Y Fujita, S Ichimura, Y Kida
arXiv preprint arXiv:2204.00174, 2022
22022
Efficient and stable adversarial learning using unpaired data for unsupervised multichannel speech separation
Y Nakagome, M Togami, T Ogawa, T Kobayashi
22nd Annual Conference of the International Speech Communication Association …, 2021
22021
Unsupervised Training for Deep Speech Sources Separation Kullback-Leibler Divergence based Probability Loss function
T Masahito, M Yoshiki, K Tatsuya, N Yu
2
Adaptive beamformer for desired source extraction with neural network based direction of arrival estimation
Y Nakagome
IEICE Technical Report; IEICE Tech. Rep. 118 (497), 143-147, 2019
12019
Waseda_Meisei at TRECVID 2018: Fully-automatic ad-hoc video search
Y Nakagome, K Ueki, K Hirakawa, K Kikuchi, Y Hayashi, T Ogawa, ...
2018 TREC Video Retrieval Evaluation, TRECVID 2018, 2020
2020
Adaptive Beamformer for Extracting Speech in Desired Direction Using Neural Soft-Mask
Y Nakagome, M Togami, T Kobayashi
IEICE Technical Report; IEICE Tech. Rep. 119 (138), 9-14, 2019
2019
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