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 |