Akira Tamamori

According to our database, Akira Tamamori authored at least 12 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Unsupervised Outlier Detection based on Random Projection Outlyingness with Local Score Weighting.

Akira Tamamori

IEICE Trans. Inf. Syst., July, 2023

Kernel Random Projection Depth for Outlier Detection.

Akira Tamamori

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2019

A sequential prediction method of quasi-periodicity based on Gaussian process state space model.

Akira Tamamori, Tomoko Matsui

Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

2017

Speaker-Dependent WaveNet Vocoder.

Akira Tamamori, Tomoki Hayashi, Kazuhiro Kobayashi, Kazuya Takeda, Tomoki Toda

Proceedings of the Interspeech 2017, 2017

Statistical Voice Conversion with WaveNet-Based Waveform Generation.

Kazuhiro Kobayashi, Tomoki Hayashi, Akira Tamamori, Tomoki Toda

Proceedings of the Interspeech 2017, 2017

An investigation of multi-speaker training for wavenet vocoder.

Tomoki Hayashi, Akira Tamamori, Kazuhiro Kobayashi, Kazuya Takeda, Tomoki Toda

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

An investigation of recurrent neural network for daily activity recognition using multi-modal signals.

Akira Tamamori, Tomoki Hayashi, Tomoki Toda, Kazuya Takeda

Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

2016

A Bayesian Approach to Image Recognition Based on Separable Lattice Hidden Markov Models.

Kei Sawada, Akira Tamamori, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

IEICE Trans. Inf. Syst., 2016

2014

Image Recognition Based on Separable Lattice Trajectory 2-D HMMs.

Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda

IEICE Trans. Inf. Syst., 2014

2012

An Extension of Separable Lattice 2-D HMMs for Rotational Data Variations.

Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda

IEICE Trans. Inf. Syst., 2012

Face recognition based on separable lattice 2-D HMMS using variational bayesian method.

Kei Sawada, Akira Tamamori, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2010

Face recognition based on separable lattice 2-D HMM with state duration modeling.

Yoshiaki Takahashi, Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2010