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TAMAMORI Akira

Profile Research field Research achievement Educational achievement Management achievement Social contribution achievement

　

Published Papers
No.Title, Author, Journal, Vol( No), Start Page- End Page, Date of publication, DOI, URL 
1
Kernel Random Projection Depth for Outlier Detection, Akira Tamamori, Asia-Pacific Signal and Information Processing Association Annual Summit Conference 2023 (APSIPA ASC 2023), ,   , Nov. 2023, https://doi.org/10.1109/APSIPAASC58517.2023.10317422,  
2
Unsupervised Outlier Detection based on Random Projection Outlyingness with Local Score Weighting, Akira Tamamori, IEICE Transactions on Information and Systems, E106.D( 7), 1244- 1248, Jul. 1, 2023, https://doi.org/10.1587/transinf.2022EDL8039,  
3
A sequential prediction method of quasi-periodicity based on Gaussian process state space model, Akira Tamamori,Tomoko Matsui, Asia-Pacific Signal and Information Processing Association Annual Summit Conference 2019 (APSIPA ASC 2019), ,   , Nov. 2019, https://doi.org/10.1109/APSIPAASC47483.2019.9023178,  
4
A sequential prediction method of quasi-periodicity based on Gaussian process state space model, Akira Tamamori, Tomoko Matsui, Asia-Pacific Signal and Information Processing Association Annual Summit Conference 2019 (APSIPA ASC 2019), ,  255- 261, Nov. 2019, 10.1109/APSIPAASC47483.2019.9023178,  
5
An Empirical Study of Adaptive Training of Daily Activity Classifier and Chat Application Designed for the Elderly to Go Out, Akira Tamamori,Yoshio Ishiguro,Kei Hiroi,Nobuo Kawaguchi,Kazuya Takeda, IPSJ Transactions on Consumer Device & Systems (CDS), 9( 2), 33- 46, May. 2019, ,  
6
An Empirical Study of Adaptive Training of Daily Activity Classifier and Chat Application Designed for the Elderly to Go Out, Akira Tamamori, Yoshio Ishiguro, Kei Hiroi, Nobuo Kawaguchi, Kazuya Takeda, IPSJ Transactions on Consumer Device & Systems (CDS), 9( 2), 33- 46, May. 2019, ,  
7
Daily Activity Recognition based on Recurrent Neural Network using Multi-modal Signals, Akira Tamamori, Tomoki Hayashi, Tomoki Toda, Kazuya Takeda, APSIPA Transactions on Signal and Information Processing, 7( e21), 1- 11, Dec. 2018, 10.1017/ATSIP.2018.25,  
8
An Investigation of Recurrent Neural Network for Daily Activity Recognition using Multi-modal Signals, Akira Tamamori, Tomoki Hayashi, Tomoki Toda, Kazuya Takeda, Asia-Pacific Signal and Information Processing Association Annual Summit Conference 2017 (APSIPA ASC 2017), ,   , Dec. 2017, 10.1109/APSIPA.2017.8282239,  
9
An Investigation of Recurrent Neural Network for Daily Activity Recognition using Multi-modal Signals, Akira Tamamori,Tomoki Hayashi,Tomoki Toda,Kazuya Takeda, Asia-Pacific Signal and Information Processing Association Annual Summit Conference 2017 (APSIPA ASC 2017), ,   , Dec. 2017, https://doi.org/10.1109/APSIPA.2017.8282239,  
10
AN INVESTIGATION OF MULTI-SPEAKER TRAINING FOR WAVENET VOCODER, Tomoki Hayashi, Akira Tamamori, Kazuhiro Kobayashi, Kazuya Takeda, Tomoki Toda, The 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2017), ,   , Dec. 2017, 10.1109/ASRU.2017.8269007,  
11
A Bayesian Approach to Image Recognition Based on Separable Lattice Hidden Markov Models, Kei Sawada,Akira Tamamori,Kei Hashimoto,Yoshihiko Nankaku,Keiichi Tokuda, IEICE Transactions on Information and Systems, E99D( 12), 3119- 3131, Dec. 2016, https://doi.org/10.1587/transinf.2016EDP7112,  
12
Investigation on Recurrent Neural Network Architectures for Daily Activity Recognition, Akira Tamamori, Tomoki Hayashi, Tomoki Toda, Kazuya Takeda, IEEE International Conference on Universal Village 2016 (UV2016), ,   , Oct. 2016, ,  
13
STATISTICAL MODELS INCLUDING NORMALIZATION PROCESSES FOR IMAGE RECOGNITION, Akira Tamamori, Nagoya Institute of Technology, ,   , Dec. 2014, 10.20602/00003188,  
14
Image Recognition Based on Separable Lattice Trajectory 2-D HMMs, Akira Tamamori,Yoshihiko Nankaku,Keiichi Tokuda, IEICE Transactions on Information and Systems, E97D( 7), 1842- 1854, Jul. 2014, https://doi.org/10.1587/transinf.E97.D.1842,  
15
Image recognition based on separable lattice trajectory 2-D HMMS, Akira Tamamori,Yoshihiko Nankaku,Keiichi Tokuda, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2013 Vol.5,  3467- 3471, Oct. 18, 2013, https://doi.org/10.1109/ICASSP.2013.6638302,  
16
An extension of separable lattice 2-D HMMs for rotational data variations, Akira Tamamori,Yoshihiko Nankaku,Keiichi Tokuda, IEICE Transactions on Information and Systems, E95-D( 8), 2074- 2083, 2012, https://doi.org/10.1587/transinf.E95.D.2074,  

　

MISC
No.Title, Author, Journal, Vol( No), Start Page- End Page, Date of publication, URL 
1
CNN-BASED ANOMALOUS SOUND DETECTION SYSTEM FOR DOMAIN GENERALIZATION, Hiroki Narita, Akira Tamamori, A technical report of DCASE Challenge2022 Task2, ,   , Jul. 2022,  
2
CNN-BASED ANOMALOUS SOUND DETECTION SYSTEM FOR DOMAIN GENERALIZATION, Hiroki Narita,Akira Tamamori, A technical report of DCASE Challenge2022 Task2, ,   , Jul. 2022,  
3
Unsupervised Anomalous Sound Detection Using Intermediate Representation of Trained Models and Metric Learning Based Variational Autoencoder, Hiroki Narita, Akira Tamamori, A technical report of DCASE Challenge2021 Task2, ,   , Jul. 2021,  
4
An Empirical Study of Adaptive Training of Daily Activity Classifier and Chat Application Designed for the Elderly to Go Out, , , 2018-CDS-23( 13), 1- 8, Aug. 2018,  

　

Conference Activities & Talks
No.Title, Author, Conference, Venue, Presentation date, Promoter 
1
Let's create a character from a voice! A Study of GAN Model Combined with Speeech Identification, , , , Mar. 5, 2021, The Institute of Electronics, Information and Communication Engineers (IEICE), Tokai chapter. 
2
Let's create a character from a voice! A Study of GAN Model Combined with Speeech Identification, , , , Mar. 5, 2021,  

　

Works
No.Title, Author, Type, Date 
1
ace-isearch, , Software, 
2
Unofficial implementations of environmental sound synthesis system with Transformer, , Software, 
3
Unofficial implementations of Onoma-to-Wave, , Software, 

　

Research theme
No.Title, Date 
1
Signal Processing,  Apr. 2018 - NOW