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Gaku Kotani
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2020 – today
- 2022
- [j2]Hitoshi Suda, Gaku Kotani, Daisuke Saito:
INmfCA Algorithm for Training of Nonparallel Voice Conversion Systems Based on Non-Negative Matrix Factorization. IEICE Trans. Inf. Syst. 105-D(6): 1196-1210 (2022) - [j1]Gaku Kotani
, Daisuke Saito, Nobuaki Minematsu
Voice Conversion Based on Deep Neural Networks for Time-Variant Linear Transformations. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2981-2992 (2022) - 2020
- [c7]Hitoshi Suda, Gaku Kotani, Daisuke Saito:
Nonparallel Training of Exemplar-Based Voice Conversion System Using INCA-Based Alignment Technique. INTERSPEECH 2020: 4681-4685
2010 – 2019
- 2019
- [c6]Gaku Kotani, Hitoshi Suda, Daisuke Saito, Nobuaki Minematsu:
Experimental investigation on the efficacy of Affine-DTW in the quality of voice conversion. APSIPA 2019: 119-124 - [c5]Shunsuke Goto, Yuma Shirahata, Gaku Kotani, Hitoshi Suda, Daisuke Saito, Nobuaki Minematsu:
The UTokyo speech synthesis system for Blizzard Challenge 2019. Blizzard Challenge 2019 - [c4]Gaku Kotani, Daisuke Saito:
Voice conversion based on full-covariance mixture density networks for time-variant linear transformations. SSW 2019: 75-80 - 2018
- [c3]Hitoshi Suda, Gaku Kotani, Shinnosuke Takamichi, Daisuke Saito:
A Revisit to Feature Handling for High-quality Voice Conversion Based on Gaussian Mixture Model. APSIPA 2018: 816-822 - [c2]Gaku Kotani, Yuji Sekiya:
Unsupervised Scanning Behavior Detection Based on Distribution of Network Traffic Features Using Robust Autoencoders. ICDM Workshops 2018: 35-38 - 2017
- [c1]Gaku Kotani, Daisuke Saito, Nobuaki Minematsu:
Voice conversion based on deep neural networks for time-variant linear transformations. APSIPA 2017: 1259-1262
Coauthor Index
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