Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
EA, US (Joint) |
2022-12-22 13:30 |
Hiroshima |
Satellite Campus Hiroshima (Hiroshima) |
[Poster Presentation]
Speech Signal Extraction Method Based on Bayesian Estimation Using Air- and Bone-Conduction Sound in Speech Confusion Yukina Tamura, Hisako Orimoto, Akira Ikuta (Pref. Univ. of Hiroshima) EA2022-61 |
[more] |
EA2022-61 pp.1-6 |
PEM (2nd) |
2022-10-13 13:40 |
Hiroshima |
National Institute of Technology,Kure college (Hiroshima) |
[Invited Talk]
Signal Processing for Electromagnetic Waves Leaked from Information Equipment in Actual Working Environment Akira Ikuta (Prefectual Univ. of Hiroshima) |
The specific signal in the actual electromagnetic wave frequently shows some very complex fluctuation forms of non-Gauss... [more] |
|
EA |
2020-12-14 10:05 |
Online |
Online (Online) |
Speech Signal Detection Based on Bayesian Estimation by Observing Air-Conducted Speech under Existence of Surrounding Noise with Aid of Bone-Conducted Speech Akira Ikuta, Hisako Orimoto (Prefectural Univ. of Hiroshima), Kouji Hasegawa (Hiroshima Prefectural Technology Research Inst.) EA2020-48 |
When applying speech recognition systems to actual circumstances such as inspection and maintenance operations in indust... [more] |
EA2020-48 pp.13-18 |
EA |
2018-12-14 10:30 |
Fukuoka |
kyushu Univ. (Fukuoka) |
Bayesian Filter for Sound Environment by Considering Additive Property of Energy Variable and Fuzzy Observation in Decibel Scale
-- Introduction of Fuzzy Moments -- Akira Ikuta, Hisako Orimoto (Prefectural Univ. Hiroshima) EA2018-89 |
In the measurement and evaluation of actual random signal in a sound environment, the observed data often contain the fu... [more] |
EA2018-89 pp.51-58 |
EA |
2018-02-15 16:15 |
Hiroshima |
Pref. Univ. Hiroshima (Hiroshima) |
[Invited Talk]
Signal Processing for Sound Environment System with Non-Gaussian, Nonlinear and Nonstationary Properties
-- My forty-year history at a slow pace -- Akira Ikuta (Prefectural Univ. Hiroshima) EA2017-96 |
In the actual sound environment system, a specific signal shows various types of probability distribution, and the obser... [more] |
EA2017-96 p.19 |
EA, ASJ-H |
2017-11-30 10:00 |
Overseas |
University of Auckland (New Zealand) (Overseas) |
Noise cancellation method for speech signal by using an extension type UKF Hisako Orimoto, Akira Ikuta (Pref. Univ. of Hiroshima) EA2017-58 |
[more] |
EA2017-58 pp.1-6 |
EA, ASJ-H |
2017-11-30 11:00 |
Overseas |
University of Auckland (New Zealand) (Overseas) |
Fuzzy Bayesian Filter for Sound Environment by Considering Additive Property of Energy Variable and Fuzzy Observation in Decibel Scale Akira Ikuta (Prefectural Univ. of Hiroshima), Hisako Orimoto (Prefectural Univ. or Hiroshima) EA2017-61 |
In the measurement and evaluation of actual random phenomena in a sound environment system, the observed data often cont... [more] |
EA2017-61 pp.19-24 |
EA, EMM |
2016-11-18 15:10 |
Oita |
Compal Hall (Oita) (Oita) |
State Estimation Based on Bayes' Theorem for Sound Environment System with Quantized Observation
-- Introduction of Particle Filter -- Akira Ikuta, Hisako Orimoto, Gerard Gallagher (Prefectural Univ. Hiroshima) EA2016-66 EMM2016-72 |
In this study, a modified particle filter considering non-Gaussian properties of noises is proposed in a form applicable... [more] |
EA2016-66 EMM2016-72 pp.107-112 |
EA, EMM |
2016-11-18 15:35 |
Oita |
Compal Hall (Oita) (Oita) |
State estimation method based on an expansion type UKF by considering non-Gaussian noise and its application to sound environment system Hisako Orimoto, Akira Ikuta (Pref. Univ. of Hiroshima) EA2016-67 EMM2016-73 |
[more] |
EA2016-67 EMM2016-73 pp.113-118 |
EA, EMM |
2015-11-13 15:15 |
Kumamoto |
Kumamoto Univ. (Kumamoto) |
Prediction of Output Probability Distribution for Sound Environment System by Considering Nonlinear, Non-Gaussian and Nonstationary Properties Akira Ikuta, Mao Naitou, Rina Kubo (Prefectural Univ. Hiroshima), Mitsuo Ohta (Hiroshima Univ.) EA2015-39 EMM2015-60 |
[more] |
EA2015-39 EMM2015-60 pp.87-92 |
EMM, EA |
2014-11-20 16:00 |
Fukuoka |
(Fukuoka) |
Diagnosis Method for Faults of Machine by Using Correlation Information between Sound and Vibration Hisako Orimoto, Akira Ikuta (Pref. Univ. Hiroshima) EA2014-30 EMM2014-58 |
(To be available after the conference date) [more] |
EA2014-30 EMM2014-58 pp.13-18 |
EMM, EA |
2013-11-14 13:00 |
Hiroshima |
Prefectural University of Hiroshima, Satellite Campus Hiroshima (Hiroshima) |
Estimation of correlation information and prediction of response probability distribution matched the decibel evaluation and energy observation Akira Ikuta, Hisako Orimoto, Hitoshi Ogawa, Yegui Xiao (Prefectural Univ. of Hiroshima) EA2013-68 EMM2013-68 |
In the actual sound environment system, a specific signal shows various types of probability distribution, and the obser... [more] |
EA2013-68 EMM2013-68 pp.1-6 |
EMM, EA |
2013-11-14 14:00 |
Hiroshima |
Prefectural University of Hiroshima, Satellite Campus Hiroshima (Hiroshima) |
A Phase of Mutual Relationship among Sound Wave, EM Wave and Ethics in Audiovisual Type Educational Technology
-- Some Walk and Actual Measurement under Blended Learning and Relationism-First -- Yoshifumi Fujita (Onomichi City Univ.), Mitsuo Ohta (Emeritus Prof. Hiroshima Univ.), Akira Ikuta (Prefectural Univ. Hiroshma), Yoshitaka Kawajiri (Hinomaru Sangyo) EA2013-70 EMM2013-70 |
[more] |
EA2013-70 EMM2013-70 pp.13-18 |
ET |
2013-09-28 16:10 |
Hiroshima |
Hiroshima University (Hiroshima) |
A Phase of Blended Learning Oriented to Some Fusion between Literature and Science Based on Relationism-First
-- Along Time Image Turning to Relation from Individual Styles -- Yoshifumi Fujita (Onomichi City Univ.), Mitsuo Ohta (Emeritus Prof. Hiroshima Univ.), Akira Ikuta (Prefectural Univ. Hiroshma), Yoshitaka Kawajiri (Hinomaru Sangyo) ET2013-50 |
[more] |
ET2013-50 pp.119-124 |
EA, EMM |
2012-11-17 14:35 |
Oita |
OITA Univ. (Oita) |
Narrowband ANC using variable step-size FXLMS algorithm Kazunari Doi, Boyan Huang, Yegui Xiao, Akira Ikuta (Prefectural Univ. Hiroshima) EA2012-106 EMM2012-88 |
[more] |
EA2012-106 EMM2012-88 pp.147-152 |
EA, EMM |
2012-11-17 15:00 |
Oita |
OITA Univ. (Oita) |
A speech signal processing method by considering finite range of amplitude fluctuation and its application to actual environment Akira Ikuta, Ran Xiao (Pref. Univ. Hiroshima), Kouji Hasegawa (Hiroshima Pref. Tec. Reseach Inst.), Mitsuo Ohta (Hiroshima Univ.) EA2012-107 EMM2012-89 |
The actual speech signal fluctuates within a finite range and the observed data sometimes display amplitude saturation o... [more] |
EA2012-107 EMM2012-89 pp.153-158 |
EA |
2011-11-18 14:00 |
Kumamoto |
Kumamoto Univ. (Kumamoto) |
State Estimation for Sound Environment Systems with Additive External Noise and State Dependent Noise Akira Ikuta, Hisako Orimoto (Prefec. Univ. Hiroshima), Mitsuo Ohta (Hiroshima Univ.) EA2011-83 |
In the actual situation of sound environment systems, the observed data often contain several fluctuation factors. There... [more] |
EA2011-83 pp.7-12 |
EA |
2011-11-19 11:15 |
Kumamoto |
Kumamoto Univ. (Kumamoto) |
A new hybrid active noise control system capable of reducing both wideband and narrowband noise components simultaneously Yegui Xiao (Prefectural Univ. Hiroshima), Kouhei Miyata (Data Horizon), Boyan Huang, Akira Ikuta (Prefectural Univ. Hiroshima) EA2011-93 |
In this paper, the performance degradation of a broadband
active noise control (ANC) system is analyzed for a case wher... [more] |
EA2011-93 pp.67-71 |
MSS, CAS, VLD, SIP |
2011-06-30 09:20 |
Okinawa |
Okinawa-Ken-Seinen-Kaikan (Okinawa) |
Prediction of Response Probability Distribution by Considering Additive Property of Energy Variable and Evaluation in Decibel Scale for Sound Environment System with Unknown Structure Hisako Orimoto (Pref Univ of Hiroshima), Akira Ikuta (Pref Univ of Hiroshim) CAS2011-2 VLD2011-9 SIP2011-31 MSS2011-2 |
[more] |
CAS2011-2 VLD2011-9 SIP2011-31 MSS2011-2 pp.7-12 |
EA |
2010-11-19 11:00 |
Fukuoka |
Kyushu Univ. (Fukuoka) |
Noise Removal Method for Speech Recognition by Introducing Stochastic System Model Akira Ikuta, Hisako Orimoto, Yuumi Nagami (Prefectural Univ. Hiroshima), Mitsuo Ohta (Hiroshima Univ, Emeritus) EA2010-95 |
Several noise removal methods for speech recognition have been proposed up to now. In this study, a method to remove the... [more] |
EA2010-95 pp.67-72 |