Speech Signal Detection Based on Bayesian Estimation by Observing Air-Conducted Speech under Existence of Surrounding Noise with the Aid of Bone-Conducted Speech

ISSN Print: 2160-5912
ISSN Online: 2160-5920
www.scirp.net/journal/iim
E-mail: [email protected]

Citations

"Speech Signal Detection Based on Bayesian Estimation by Observing Air-Conducted Speech under Existence of Surrounding Noise with the Aid of Bone-Conducted Speech"
written by Hisako Orimoto, Akira Ikuta, Kouji Hasegawa,
published by Intelligent Information Management, Vol.13 No.4, 2021

has been cited by the following article(s):

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[4]	Speech Signal Extraction Method Based on Bayesian Estimation Using Air-and Bone-Conduction Sound in Speech Confusion
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[5]	騒音混入下における骨導音援用による音声抽出法
	電気学会論文誌 C (電子・情報・システム部門誌), 2023

[6]	A noise suppression method for speech signal by jointly using bayesian estimation and fuzzy theory
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[1]	INFORMATIONALITY OF NOISE-LIKE SIGNALS Measuring Equipment and Metrology, 2024 DOI:10.23939/istcmtm2024.02.009

[2]	Modulation and performance of synchronous demodulation for speech signal detection and dialect intelligibility Open Engineering, 2023 DOI:10.1515/eng-2022-0410

[3]	Speech Extraction Method with Help of Bone-Conducted Sound under Existence of Background Noise IEEJ Transactions on Electronics, Information and Systems, 2023 DOI:10.1541/ieejeiss.143.950

[4]	Evaluation on English Translator Speech Recognition System Based on Artificial Intelligence Algorithms 2023 International Conference on Network, Multimedia and Information Technology (NMITCON), 2023 DOI:10.1109/NMITCON58196.2023.10276003

[5]	Detection of Informational Signal Among Noisy Signals 2023 International Conference on Noise and Fluctuations (ICNF), 2023 DOI:10.1109/ICNF57520.2023.10472749