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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 11 of 11  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
10:10
Okinawa
(Primary: On-site, Secondary: Online)
Anomalous sound detection with complex-valued hybrid neural networks considering phase variations
Shota Nishiyama, Akira Tamamori (AIT) EA2022-106 SIP2022-150 SP2022-70
Anomalous sound detection is the task of identifying whether an incoming mechanical sound is normal or anomalous. Since ... [more] EA2022-106 SIP2022-150 SP2022-70
pp.185-190
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
14:40
Okinawa
(Primary: On-site, Secondary: Online)
Anomalous sound detection based on differential features of multi channel acoustic signals considering spatial and temporal variations
Shota Nishiyama, Akira Tamamori (AIT)
Anomalous sound detection plays an essential role in machine condition management in factory automation. The task of ano... [more]
SIP 2021-08-23
13:25
Online Online A study on transfer learning in unsupervised anomalous sound detection based on deep metric learning considering variance of normal data
Hiroki Narita, Akira Tamamori (AIT) SIP2021-28
In recent years, anomaly detection research in the field of computer vision has focused on methods based on transfer lea... [more] SIP2021-28
pp.5-10
SP, ASJ-H 2018-01-21
14:45
Tokyo The University of Tokyo An investigation of multi-speaker WaveNet vocoder
Tomoki Hayashi, Kazuhiro Kobayashi, Akira Tamamori, Kazuya Takeda, Tomoki Toda (Nagoya Univ.) SP2017-81
In this paper, we investigate a multi-speaker WaveNet vocoder. In our previous work, we have demonstrated that our propo... [more] SP2017-81
pp.81-86
SP, ASJ-H 2018-01-21
15:10
Tokyo The University of Tokyo Statistical voice conversion with WaveNet vocoder
Kazuhiro Kobayashi, Tomoki Hayashi, Akira Tamamori, Tomoki Toda (Nagoya Univ.) SP2017-82
 [more] SP2017-82
pp.87-92
SP, SIP, EA 2017-03-01
09:20
Okinawa Okinawa Industry Support Center Speech waveform synthesis based on WaveNet considering speech generation process
Akira Tamamori, Tomoki Hayashi, Tomoki Toda, Kazuya Takeda (Nagoya Univ.) EA2016-82 SIP2016-137 SP2016-77
Our aim is to realize a new vocoder, which can resolve various constraints imposed on source-filter model and deal with ... [more] EA2016-82 SIP2016-137 SP2016-77
pp.1-6
SP 2016-08-24
13:25
Kyoto ACCMS, Kyoto Univ. Daily Activity Recognition Based on Recurrent Neural Network
Akira Tamamori, Tomoki Hayashi, Tomoki Toda, Kazuya Takeda (Nagoya Univ.) SP2016-28
Our goal is to build an automatic surveillance system for elderly people and the core technique is daily activity recogn... [more] SP2016-28
pp.7-12
WIT, SP, ASJ-H, PRMU 2015-06-19
10:00
Niigata   Study on prediction of quasiperiodic nonlinear phenomena based on Gaussian process state space model
Akira Tamamori, Tomoko Matsui (ISM), Masumi Kitazawa (QOL) PRMU2015-49 SP2015-18 WIT2015-18
Many non-linear phenomena which exhibit quasiperiodic fluctuations can be widely observed in the world; population of or... [more] PRMU2015-49 SP2015-18 WIT2015-18
pp.101-106
PRMU 2011-11-25
13:45
Nagasaki   Face recognition based on separable lattice 2-D HMMs with variational Bayesian method
Kei Sawada, Akira Tamamori, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) PRMU2011-120
This paper proposes an image recognition technique based on separable lattice 2-D hidden Markov models (SL2D-HMMs) with ... [more] PRMU2011-120
pp.125-130
PRMU 2009-03-14
09:30
Miyagi Tohoku Institute of Technology Face recognition based on separable lattice 2-D HMM with state duration modeling
Yoshiaki Takahashi, Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda (NIT) PRMU2008-262
This paper proposes separable lattice 2-D HMMs with state duration modeling.
Separable lattice 2-D HMMs(SL-HMMs) are pr... [more]
PRMU2008-262
pp.153-158
PRMU 2009-03-14
10:00
Miyagi Tohoku Institute of Technology Face recognition based on separable lattice 2-D HMM considering rotational variations
Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda (NIT) PRMU2008-263
In image recognition systems,it needs to deal with geometrical variaions of
images such as size, location and rotaion.S... [more]
PRMU2008-263
pp.159-164
 Results 1 - 11 of 11  /   
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