| Speaker-Dependent WaveNet Vocoder A Tamamori, T Hayashi, K Kobayashi, K Takeda, T Toda INTERSPEECH 2017, 1118-1122, 2017 | 346 | 2017 |
| An investigation of multi-speaker training for WaveNet vocoder T Hayashi, A Tamamori, K Kobayashi, K Takeda, T Toda 2017 IEEE automatic speech recognition and understanding workshop (ASRU …, 2017 | 124 | 2017 |
| Statistical Voice Conversion with WaveNet-Based Waveform Generation K Kobayashi, T Hayashi, A Tamamori, T Toda INTERSPEECH 2017, 1138-1142, 2017 | 107 | 2017 |
| An investigation of recurrent neural network for daily activity recognition using multi-modal signals A Tamamori, T Hayashi, T Toda, K Takeda 2017 Asia-Pacific Signal and Information Processing Association Annual …, 2017 | 14 | 2017 |
| Face recognition based on separable lattice 2-D HMM with state duration modeling Y Takahashi, A Tamamori, Y Nankaku, K Tokuda IEEE International Conference on Acoustics Speech and Signal Processing …, 2010 | 14 | 2010 |
| Speech signal processing toolkit (SPTK) K Tokuda, K Oura, A Tamamori, S Sako, H Zen, T Nose, T Takahashi, ... Online], recent version, 2012 | 10 | 2012 |
| An extension of separable lattice 2-D HMMs for rotational data variations A Tamamori, Y Nankaku, K Tokuda IEICE transactions on information and systems 95 (8), 2074-2083, 2012 | 9 | 2012 |
| A Bayesian approach to image recognition based on separable lattice hidden Markov models K Sawada, A Tamamori, K Hashimoto, Y Nankaku, K Tokuda IEICE TRANSACTIONS on Information and Systems 99 (12), 3119-3131, 2016 | 8 | 2016 |
| Daily activity recognition based on recurrent neural network using multi-modal signals A Tamamori, T Hayashi, T Toda, K Takeda APSIPA Transactions on Signal and Information Processing 7 (e21), 1-11, 2018 | 7 | 2018 |
| Image Recognition Based on Separable Lattice Trajectory 2-D HMMs A Tamamori, Y Nankaku, K Tokuda IEICE TRANSACTIONS on Information and Systems 97 (7), 1842-1854, 2014 | 6 | 2014 |
| Face recognition based on separable lattice 2-D HMMS using variational bayesian method K Sawada, A Tamamori, K Hashimoto, Y Nankaku, K Tokuda IEEE International Conference on Acoustics, Speech and Signal Processing …, 2012 | 6 | 2012 |
| Unsupervised Anomalous Sound Detection Using Intermediate Representation of Trained Models and Metric Learning Based Variational Autoencoder H Narita, A Tamamori A technical report of DCASE Challenge2021 Task2, 2021 | 4 | 2021 |
| Kernel logistic regression learning for high-capacity hopfield networks A Tamamori arXiv preprint arXiv:2504.07633, 2025 | 3 | 2025 |
| Kernel Random Projection Depth for Outlier Detection A Tamamori 2023 Asia Pacific Signal and Information Processing Association Annual …, 2023 | 3 | 2023 |
| Unsupervised Outlier Detection based on Random Projection Outlyingness with Local Score Weighting A Tamamori IEICE Transactions on Information and Systems 106 (7), 1244-1248, 2023 | 2 | 2023 |
| A sequential prediction method of quasi-periodicity based on Gaussian process state space model A Tamamori, T Matsui Asia-Pacific Signal and Information Processing Association Annual Summit …, 2019 | 2 | 2019 |
| Speech waveform synthesis based on wavenet considering speech generation process A Tamamori, T Hayashi, T Toda, K Takeda IEICE Technical Report; IEICE Tech. Rep. 116 (477), 1-6, 2017 | 2 | 2017 |
| Investigation on Recurrent Neural Network Architectures for Daily Activity Recognition A Tamamori, T Hayashi, T Toda, K Takeda The 3rd International Conference on Universal Village (UV2016), 2016 | 2 | 2016 |
| Recurrent Neural Network に基づく日常生活行動認識 玉森聡, 林知樹, 戸田智基, 武田一哉 電子情報通信学会技術研究報告; 信学技報 116 (189), 7-12, 2016 | 2 | 2016 |
| Self-organization and spectral mechanism of attractor landscapes in high-capacity kernel hopfield networks A Tamamori arXiv preprint arXiv:2511.13053, 2025 | 1 | 2025 |