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Akira Tamamori

Observed names: Akira TAMAMORI, Tamamori, Akira
ORCID: 0009-0000-8893-0058
Observed ORCID: 0009-0000-8893-0058
OpenAlex ID: A5039826522
Speaker-Dependent WaveNet Vocoder
2017 · Akira Tamamori, Tomoki Hayashi, et al. · Interspeech (USB) · 276
An investigation of multi-speaker training for wavenet vocoder
2017 · Tomoki Hayashi, Akira Tamamori, et al. · IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) · 97
Statistical Voice Conversion with WaveNet-Based Waveform Generation
2017 · Kazuhiro Kobayashi, Tomoki Hayashi, et al. · Interspeech (USB) · 80
An investigation of recurrent neural network for daily activity recognition using multi-modal signals
2017 · Akira Tamamori, Tomoki Hayashi, et al. · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · 10
Face recognition based on separable lattice 2-D HMM with state duration modeling
2010 · Yoshiaki Takahashi, Akira Tamamori, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 9
Daily activity recognition based on recurrent neural network using multi-modal signals
2018 · Akira Tamamori, Tomoki Hayashi, et al. · APSIPA Transactions on Signal and Information Processing · 8
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A Bayesian Approach to Image Recognition Based on Separable Lattice Hidden Markov Models
2016 · Kei SAWADA, Akira TAMAMORI, et al. · IEICE Transactions on Information and Systems · 6
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An Extension of Separable Lattice 2-D HMMs for Rotational Data Variations
2012 · Akira TAMAMORI, Yoshihiko NANKAKU, et al. · IEICE Transactions on Information and Systems · 6
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Face recognition based on separable lattice 2-D HMMS using variational bayesian method
2012 · Kei Sawada, Akira Tamamori, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 5
Image Recognition Based on Separable Lattice Trajectory 2-D HMMs
2014 · Akira TAMAMORI, Yoshihiko NANKAKU, et al. · IEICE Transactions on Information and Systems · 3
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Image recognition based on separable lattice trajectory 2-D HMMS
2013 · Akira Tamamori, Yoshihiko Nankaku, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 3
Kernel Ridge Regression for Efficient Learning of High-Capacity Hopfield Networks
2025 · Akira Tamamori · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · 2
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Kernel Logistic Regression Learning for High-Capacity Hopfield Networks
2025 · Akira TAMAMORI · IEICE Transactions on Information and Systems · 2
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Speech waveform synthesis based on WaveNet considering speech generation process
2017 · Akira Tamamori, Tomoki Hayashi, et al. · IEICE Technical Report; IEICE Tech. Rep. · 2
Daily Activity Recognition Based on Recurrent Neural Network
2016 · Akira Tamamori, Tomoki Hayashi, et al. · IEICE Technical Report; IEICE Tech. Rep. · 2
An extension of Separable Lattice 2-D HMMS for rotational data variations
2010 · Akira Tamamori, Yoshihiko Nankaku, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 2
Self-organization and spectral mechanism of attractor landscapes in high-capacity kernel Hopfield networks
2026 · Akira Tamamori · Nonlinear Theory and Its Applications IEICE · 1
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Unsupervised Outlier Detection based on Random Projection Outlyingness with Local Score Weighting
2023 · Akira TAMAMORI · IEICE Transactions on Information and Systems · 1
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A sequential prediction method of quasi-periodicity based on Gaussian process state space model
2019 · Akira Tamamori, Tomoko Matsui · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · 1
Statistical voice conversion with WaveNet vocoder
2018 · Kazuhiro Kobayashi, Tomoki Hayashi, et al. · IEICE Technical Report; IEICE Tech. Rep. · 1
Geometry of learning dynamics: Gradient descent versus natural gradient on the ridge of optimization
2026 · Tamamori, Akira · arXiv (Cornell University)
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Information Geometric Self-Organization at the Edge of Stability in High-Capacity Kernel Associative Memories
2026 · Tamamori, Akira · arXiv (Cornell University)
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Geometric and dynamical analysis of attractor boundaries and storage limits in kernel Hopfield networks
2026 · Tamamori, Akira · arXiv (Cornell University)
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Quantization robustness from dense representations of sparse functions in high-capacity kernel associative memory
2026 · Akira Tamamori · Nonlinear Theory and Its Applications IEICE
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Efficient event-driven retrieval in high-capacity kernel Hopfield networks
2026 · Akira Tamamori · Nonlinear Theory and Its Applications IEICE
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Works count: 37
Citation count: 517
H-index: 6
I10-index: 4
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