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
2102017
Statistical Voice Conversion with WaveNet-Based Waveform Generation
K Kobayashi, T Hayashi, A Tamamori, T Toda
INTERSPEECH 2017, 1138-1142, 2017
882017
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
822017
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
122010
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
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
82017
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
62016
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
52012
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
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
22018
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 (音声)--(オーガナイズドセッション 「あらゆる音を対象とした情報処理の実現に向けて」)
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= IEICE technical report: 信学技報 116 (189), 7-12, 2016
22016
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
22014
Image recognition based on separable lattice trajectory 2-D HMMS
A Tamamori, Y Nankaku, K Tokuda
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
22013
変分ベイズ法を用いた分離型2次元格子HMMに基づく顔画像認識
沢田慶, 玉森聡, 橋本佳, 南角吉彦, 徳田恵一
電子情報通信学会技術研究報告 111 (317), 125-130, 2011
12011
高齢者の外出促進を目的とした行動認識の適応学習およびチャットアプリケーションの実証実験
玉森聡, 石黒祥生, 廣井慧, 河口信夫, 武田一哉
情報処理学会論文誌コンシューマ・デバイス & システム (CDS) 9 (2), 33-46, 2019
2019
高齢者支援に向けた実験オペレータと同時複数人の半自動対話システムの実現
榮井優介, 石黒祥生, 玉森聡, 廣井慧, 河口信夫, 武田一哉
HCGシンポジウム2018, 2018
2018
高齢者の外出促進を目的とした行動認識の適応学習およびチャットアプリケーションの実証実験
玉森聡, 石黒祥生, 廣井慧, 河口信夫, 武田一哉
コンシューマ・デバイス&システム(CDS)研究会 第23回研究発表会, 2018
2018
Estimating Subjective Driving Risk Feeling using Random Forest
N Bao, C Miyazima, A Tamamori, E Takeuchi, K Takeda
2018 IEICE General Conferences, 2018
2018
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Articles 1–20