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Akira Tamamori
Akira Tamamori
Aichi Institute of Technology
Verified email at aitech.ac.jp
Title
Cited by
Cited by
Year
Speaker-Dependent WaveNet Vocoder
A Tamamori, T Hayashi, K Kobayashi, K Takeda, T Toda
INTERSPEECH 2017, 1118-1122, 2017
3462017
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
1242017
Statistical Voice Conversion with WaveNet-Based Waveform Generation
K Kobayashi, T Hayashi, A Tamamori, T Toda
INTERSPEECH 2017, 1138-1142, 2017
1072017
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
142017
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
142010
Speech signal processing toolkit (SPTK)
K Tokuda, K Oura, A Tamamori, S Sako, H Zen, T Nose, T Takahashi, ...
Online], recent version, 2012
102012
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
92012
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
82016
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
72018
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
62014
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
62012
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
42021
Kernel logistic regression learning for high-capacity hopfield networks
A Tamamori
arXiv preprint arXiv:2504.07633, 2025
32025
Kernel Random Projection Depth for Outlier Detection
A Tamamori
2023 Asia Pacific Signal and Information Processing Association Annual …, 2023
32023
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
22023
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
22019
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
22017
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
22016
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
22016
Self-organization and spectral mechanism of attractor landscapes in high-capacity kernel hopfield networks
A Tamamori
arXiv preprint arXiv:2511.13053, 2025
12025
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Articles 1–20