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作 者:Shibing Zhang Lili Guo Hongjun Li Zhihua Bao Xiaoge Zhang Yonghong Chen
机构地区:[1]School of Information Science and Technology,Nantong University,Nantong 226019,China [2]Nantong Research Institute for Advanced Communication Technology,Nantong 226019,China [3]Xinglin College,Nantong University,Nantong 226019,China
出 处:《China Communications》2020年第6期68-79,共12页中国通信(英文版)
基 金:supported by National Natural Science Foundation of China(No.61871241,No.61771263);Science and Technology Program of Nantong(No.JC2018129,No.JC2018127);Fund of Nantong University-Nantong Joint Research Center for Intelligent Information Technology(No.KFKT2016A01,No.KFKT2017A05)。
摘 要:With the development of society and the progress of technology,more and more ocean activities are carried out.It results in booming of deep-sea diving.The use of helium-oxygen mixture(as a kind of breathing gas)solves the physiological problems of divers in saturated diving,but it brings about the Heliumspeech voice communication problem,the drop of speech intelligibility.There is no doubt that the effective speech communication must be provided for supporting the life and work of divers in deep-sea.This paper describes the mechanism of forming heliumspeech,discusses the effects of pressure and helium environment on the speech spectrum,compares the pros and cons of the time-domain and frequency-domain unscrambling techniques,shows the challenges in heliumspeech communications.Finally,it briefly introduces the deep learning,and points out that deep learning/machine learning may be a perfectly unscrambling technique.
关 键 词:maritime communications saturation diving heliumspeech unscrambling challenging deep learning
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