Committee 
Date Time 
Place 
Paper Title / Authors 
Abstract 
Paper # 
EA, US (Joint) 
20221222 13:30 
Hiroshima 
Satellite Campus Hiroshima 
[Poster Presentation]
Speech Signal Extraction Method Based on Bayesian Estimation Using Air and BoneConduction Sound in Speech Confusion Yukina Tamura, Hisako Orimoto, Akira Ikuta (Pref. Univ. of Hiroshima) EA202261 
[more] 
EA202261 pp.16 
PEM (2nd) 
20221013 13:40 
Hiroshima 
National Institute of Technology,Kure college 
[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 nonGauss... [more] 

EA 
20201214 10:05 
Online 
Online 
Speech Signal Detection Based on Bayesian Estimation by Observing AirConducted Speech under Existence of Surrounding Noise with Aid of BoneConducted Speech Akira Ikuta, Hisako Orimoto (Prefectural Univ. of Hiroshima), Kouji Hasegawa (Hiroshima Prefectural Technology Research Inst.) EA202048 
When applying speech recognition systems to actual circumstances such as inspection and maintenance operations in indust... [more] 
EA202048 pp.1318 
EA 
20181214 10:30 
Fukuoka 
kyushu Univ. 
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) EA201889 
In the measurement and evaluation of actual random signal in a sound environment, the observed data often contain the fu... [more] 
EA201889 pp.5158 
EA 
20180215 16:15 
Hiroshima 
Pref. Univ. Hiroshima 
[Invited Talk]
Signal Processing for Sound Environment System with NonGaussian, Nonlinear and Nonstationary Properties
 My fortyyear history at a slow pace  Akira Ikuta (Prefectural Univ. Hiroshima) EA201796 
In the actual sound environment system, a specific signal shows various types of probability distribution, and the obser... [more] 
EA201796 p.19 
EA, ASJH 
20171130 10:00 
Overseas 
University of Auckland (New Zealand) 
Noise cancellation method for speech signal by using an extension type UKF Hisako Orimoto, Akira Ikuta (Pref. Univ. of Hiroshima) EA201758 
[more] 
EA201758 pp.16 
EA, ASJH 
20171130 11:00 
Overseas 
University of Auckland (New Zealand) 
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) EA201761 
In the measurement and evaluation of actual random phenomena in a sound environment system, the observed data often cont... [more] 
EA201761 pp.1924 
EA, EMM 
20161118 15:10 
Oita 
Compal Hall (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) EA201666 EMM201672 
In this study, a modified particle filter considering nonGaussian properties of noises is proposed in a form applicable... [more] 
EA201666 EMM201672 pp.107112 
EA, EMM 
20161118 15:35 
Oita 
Compal Hall (Oita) 
State estimation method based on an expansion type UKF by considering nonGaussian noise and its application to sound environment system Hisako Orimoto, Akira Ikuta (Pref. Univ. of Hiroshima) EA201667 EMM201673 
[more] 
EA201667 EMM201673 pp.113118 
EA, EMM 
20151113 15:15 
Kumamoto 
Kumamoto Univ. 
Prediction of Output Probability Distribution for Sound Environment System by Considering Nonlinear, NonGaussian and Nonstationary Properties Akira Ikuta, Mao Naitou, Rina Kubo (Prefectural Univ. Hiroshima), Mitsuo Ohta (Hiroshima Univ.) EA201539 EMM201560 
[more] 
EA201539 EMM201560 pp.8792 
EMM, EA 
20141120 16:00 
Fukuoka 

Diagnosis Method for Faults of Machine by Using Correlation Information between Sound and Vibration Hisako Orimoto, Akira Ikuta (Pref. Univ. Hiroshima) EA201430 EMM201458 
(To be available after the conference date) [more] 
EA201430 EMM201458 pp.1318 
EMM, EA 
20131114 13:00 
Hiroshima 
Prefectural University of Hiroshima, Satellite Campus 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) EA201368 EMM201368 
In the actual sound environment system, a specific signal shows various types of probability distribution, and the obser... [more] 
EA201368 EMM201368 pp.16 
EMM, EA 
20131114 14:00 
Hiroshima 
Prefectural University of Hiroshima, Satellite Campus 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 RelationismFirst  Yoshifumi Fujita (Onomichi City Univ.), Mitsuo Ohta (Emeritus Prof. Hiroshima Univ.), Akira Ikuta (Prefectural Univ. Hiroshma), Yoshitaka Kawajiri (Hinomaru Sangyo) EA201370 EMM201370 
[more] 
EA201370 EMM201370 pp.1318 
ET 
20130928 16:10 
Hiroshima 
Hiroshima University 
A Phase of Blended Learning Oriented to Some Fusion between Literature and Science Based on RelationismFirst
 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) ET201350 
[more] 
ET201350 pp.119124 
EA, EMM 
20121117 14:35 
Oita 
OITA Univ. 
Narrowband ANC using variable stepsize FXLMS algorithm Kazunari Doi, Boyan Huang, Yegui Xiao, Akira Ikuta (Prefectural Univ. Hiroshima) EA2012106 EMM201288 
[more] 
EA2012106 EMM201288 pp.147152 
EA, EMM 
20121117 15:00 
Oita 
OITA Univ. 
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.) EA2012107 EMM201289 
The actual speech signal fluctuates within a finite range and the observed data sometimes display amplitude saturation o... [more] 
EA2012107 EMM201289 pp.153158 
EA 
20111118 14:00 
Kumamoto 
Kumamoto Univ. 
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.) EA201183 
In the actual situation of sound environment systems, the observed data often contain several fluctuation factors. There... [more] 
EA201183 pp.712 
EA 
20111119 11:15 
Kumamoto 
Kumamoto Univ. 
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) EA201193 
In this paper, the performance degradation of a broadband
active noise control (ANC) system is analyzed for a case wher... [more] 
EA201193 pp.6771 
MSS, CAS, VLD, SIP 
20110630 09:20 
Okinawa 
OkinawaKenSeinenKaikan 
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) CAS20112 VLD20119 SIP201131 MSS20112 
[more] 
CAS20112 VLD20119 SIP201131 MSS20112 pp.712 
EA 
20101119 11:00 
Fukuoka 
Kyushu Univ. 
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) EA201095 
Several noise removal methods for speech recognition have been proposed up to now. In this study, a method to remove the... [more] 
EA201095 pp.6772 