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2020 – today
- 2024
[i3]Yu Nakagome, Michael Hentschel:
InterBiasing: Boost Unseen Word Recognition through Biasing Intermediate Predictions. CoRR abs/2406.14890 (2024)- 2022
- [c6]Yu Nakagome, Tatsuya Komatsu, Yusuke Fujita, Shuta Ichimura, Yusuke Kida:
InterAug: Augmenting Noisy Intermediate Predictions for CTC-based ASR. INTERSPEECH 2022: 5140-5144 - [i2]Yu Nakagome, Tatsuya Komatsu, Yusuke Fujita, Shuta Ichimura, Yusuke Kida:
InterAug: Augmenting Noisy Intermediate Predictions for CTC-based ASR. CoRR abs/2204.00174 (2022) - 2021
- [c5]Yu Nakagome, Masahito Togami, Tetsuji Ogawa, Tetsunori Kobayashi:
Efficient and Stable Adversarial Learning Using Unpaired Data for Unsupervised Multichannel Speech Separation. Interspeech 2021: 3051-3055 - 2020
- [c4]Masahito Togami, Yoshiki Masuyama, Tatsuya Komatsu, Yu Nakagome:
Unsupervised Training for Deep Speech Source Separation with Kullback-Leibler Divergence Based Probabilistic Loss Function. ICASSP 2020: 56-60 - [c3]Yu Nakagome, Masahito Togami, Tetsuji Ogawa, Tetsunori Kobayashi:
Deep Speech Extraction with Time-Varying Spatial Filtering Guided By Desired Direction Attractor. ICASSP 2020: 671-675 - [c2]Yu Nakagome, Masahito Togami, Tetsuji Ogawa, Tetsunori Kobayashi:
Mentoring-Reverse Mentoring for Unsupervised Multi-Channel Speech Source Separation. INTERSPEECH 2020: 86-90
2010 – 2019
- 2019
- [i1]Masahito Togami, Yoshiki Masuyama, Tatsuya Komatsu, Yu Nakagome:
Unsupervised Training for Deep Speech Source Separation with Kullback-Leibler Divergence Based Probabilistic Loss Function. CoRR abs/1911.04228 (2019) - 2018
- [c1]Kazuya Ueki, Yu Nakagome, Koji Hirakawa, Kotaro Kikuchi, Yoshihiko Hayashi, Tetsuji Ogawa, Tetsunori Kobayashi:
Waseda_Meisei at TRECVID 2018: Ad-hoc Video Search. TRECVID 2018
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