Akira Ikuta, Hisako Orimoto, Kouji Hasegawa. A Noise Suppression Method for Speech Signal by Jointly Using Bayesian Estimation and Fuzzy Theory. 2021. 14. 12. 631-645
Xifeng Wang, Hisako Orimoto, Akira Ikuta. Vibration and Sound Estimation Method from a Machine by Using Bayes' Theorem based on Acoustic Measurement Under Background Noise. Proceedings of 15th International Conference on Innovative Computing, Information and Control (ICICIC2021). 2021
Akira Ikuta, Hisako Orimoto. A signal processing method for sound environment with nonlinear observation characteristics by introducing wide-sense particle filter. Proceedings of 27th International Congress on Sound and Vibration. 2021
H. Orimoto, A. Ikuta, K. Hasegawa. Speech Signal Detection Based on Bayesian Estimation by Observing Air-Conducted Speech under Existence of Surrounding Noise with the Aid of Bone-Conducted Speech. Intelligent Information Management. 2021. 13. 4. 199-213
Speech Signal Extraction Method Based on Bayesian Estimation Using Air- and Bone-Conduction Sound in Speech Confusion
(inter-noise 2023 2023)
A noise suppression method for speech signal based on Bayesian estimation by using bone-conducted speech
(Proceedings of 29th International Congress on Sound and Vibration 2023)
Fault diagnosis method of machine by use of compound sound and vibration under background noise
(Proceedings of 29th International Congress on Sound and Vibration 2023)
Noise Suppression for Speech Signal based on Bayesian Estimation by Applying Fuzzy Probability to Bone-conducted Speech
(Proceedings of 28th International Congress on Sound and Vibration 2022)
Simultaneous Estimation Method of Sound and Vibration by using Bayes' Theorem based on Sound Observation Generating from a Machine under Background Noise
(Proceedings of 28th International Congress on Sound and Vibration, 2022)
2018/09 - 22nd Conference SPA 2018 best paper Noise cancellation method for speech signal by using an extension type UKF
2014/10 - FCTA 2014(International Conference on Fuzzy Computation Theory and Applications) Best Paper Fuzzy Signal Processing of Sound and Electromagnetic Environment by Introducing Probability Measure of Fuzzy Events