[1]陈又圣,颜桂灵,林炜臻,等.电子耳蜗言语训练及发音模拟系统[J].中国医学物理学杂志,2020,37(2):220-225.
　CHEN Yousheng,YAN Guiling,LIN Weizhen,et al.Speech training and pronunciation simulation system for cochlear implant[J].Chinese Journal of Medical Physics,2020,37(2):220-225.
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电子耳蜗言语训练及发音模拟系统()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
37
期数:
2020年第2期
页码:
220-225
栏目:
医学信号处理与医学仪器
出版日期:
2020-02-25

文章信息/Info

Title:
Speech training and pronunciation simulation system for cochlear implant
作者:
陈又圣; 颜桂灵; 林炜臻; 方如康; 陶佛钦; 曹智亮; 陈伟芳
深圳信息职业技术学院， 广东 深圳 518000
Author(s):
CHEN Yousheng;  YAN Guiling;  LIN Weizhen;  FANG Rukang;  TAO Foqin;  CAO Zhiliang;  CHEN Weifang
Shenzhen Institute of Information Technology, Shenzhen 518000, China
关键词:
电子耳蜗; 言语训练; 言语处理策略; 发音模拟
Keywords:
Keywords: cochlear implant;  speech training;  speech processing strategy;  pronunciation simulation
文献标志码:
A
摘要:
听力障碍患者可根据听力障碍程度选择佩戴助听器或植入电子耳蜗，其中重度耳聋患者需要植入电子耳蜗以恢复听力感知能力。电子耳蜗手术植入后，患者仍需要大量的言语康复训练，以适应电子耳蜗和日常言语交流。目前，训练的主要方式是人工训练，不利于提高听力康复训练的效率。本研究开发了一套基于电子耳蜗常用言语处理策略的言语训练及发音模拟系统。该系统可用于语音信号的采集，并进一步将采集到的信号转换成特定的言语处理策略。它可以帮助医生对患者进行听力训练，也可以用于开发新的言语处理策略和算法评估，该系统采集和合成的康复训练信号能准确地反映电子耳蜗言语处理策略的特点，GUI界面简单易用，便于在临床推广应用。
Abstract:
Abstract: Patients with hearing impairment can choose to wear hearing aids or have cochlear implantation according to the degree of hearing impairment, and those with severe deafness need cochlear implant to restore their ability of hearing perception. After cochlear implantation, patients still need a lot of speech rehabilitation training to adapt to cochlear implant and daily speech communication. At present, the main training method is artificial training which is not conducive to improving the efficiency of hearing rehabilitation training. Therefore, a speech training and pronunciation simulation system based on common speech processing strategies of cochlear implant is developed. The system which can be used to collect speech signals and further convert the collected signals into specific speech processing strategies can help doctors to carry out hearing training for patients and can be used to develop new speech processing strategies and algorithm evaluations. The rehabilitation training signals acquired and synthesized by the system can accurately reflect the characteristics of speech processing strategies of cochlear implant. Moreover, the GUI interface is simple and easy to use, which is benefit for clinical application.

相似文献/References:

[1]陈又圣,王健,陈伟芳. 电子耳蜗n of m算法的特性[J].中国医学物理学杂志,2017,34(3):266.[doi:10.3969/j.issn.1005-202X.2017.03.010]
　[J].Chinese Journal of Medical Physics,2017,34(2):266.[doi:10.3969/j.issn.1005-202X.2017.03.010]
[2]陈又圣,陈伟芳,张璞,等. 基于最大平坦分数延迟的电子耳蜗信号采集[J].中国医学物理学杂志,2017,34(4):393.[doi:DOI:10.3969/j.issn.1005-202X.2017.04.015]
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　[J].Chinese Journal of Medical Physics,2017,34(2):731.[doi:10.3969/j.issn.1005-202X.2017.07.016]
[4]陈又圣,王健,陈艳,等. 基于连续交替采样的电子耳蜗等间隔多刺激算法研究[J].中国医学物理学杂志,2018,35(5):585.[doi:DOI:10.3969/j.issn.1005-202X.2018.05.016]
　CHEN Yousheng,WANG Jian,CHEN Yan,et al. Continuous interleaved sampling-based multiple equal-interval stimulation algorithm for cochlear implant[J].Chinese Journal of Medical Physics,2018,35(2):585.[doi:DOI:10.3969/j.issn.1005-202X.2018.05.016]
[5]陈又圣,张春晓,陈伟芳,等. 电子耳蜗双麦克风信号采集及不同参数波束形成特征研究[J].中国医学物理学杂志,2018,35(7):811.[doi:DOI:10.3969/j.issn.1005-202X.2018.07.014]
　CHEN Yousheng,ZHANG Chunxiao,CHEN Weifang,et al. Dual-microphone based signal acquisition and different parameters based beamforming features for cochlear implant[J].Chinese Journal of Medical Physics,2018,35(2):811.[doi:DOI:10.3969/j.issn.1005-202X.2018.07.014]
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[7]陈又圣,杜军.基于信号特征的电子耳蜗言语处理策略的频带选取[J].中国医学物理学杂志,2019,36(12):1461.[doi:DOI:10.3969/j.issn.1005-202X.2019.12.019]
　CHEN Yousheng,DU Jun.Frequency-band selection for signal feature-based speech processing strategy in cochlear implant[J].Chinese Journal of Medical Physics,2019,36(2):1461.[doi:DOI:10.3969/j.issn.1005-202X.2019.12.019]
[8]陈又圣,曹智亮,夏林中,等.基于Bark域的电子耳蜗频带划分分析和拟合研究[J].中国医学物理学杂志,2020,37(3):350.[doi:DOI:10.3969/j.issn.1005-202X.2020.03.018]
　CHEN Yousheng,CAO Zhiliang,XIA Linzhong,et al.Frequency band division analysis and fitting based on Bark domain for cochlear implant[J].Chinese Journal of Medical Physics,2020,37(2):350.[doi:DOI:10.3969/j.issn.1005-202X.2020.03.018]
[9]张春晓,陈又圣,黄鸿展.基于拉格朗日插值的电子耳蜗分数延迟和参数失配分析[J].中国医学物理学杂志,2021,38(4):468.[doi:DOI:10.3969/j.issn.1005-202X.2021.04.014]
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[10]陈又圣,曹雪梅,王庚.基于信号能量选取的电子耳蜗言语处理策略特征[J].中国医学物理学杂志,2023,40(6):736.[doi:DOI:10.3969/j.issn.1005-202X.2023.06.011]
　CHEN Yousheng,CAO Xuemei,WANG Geng.Characteristics of cochlear implant speech processing strategies based on signal energy selection[J].Chinese Journal of Medical Physics,2023,40(2):736.[doi:DOI:10.3969/j.issn.1005-202X.2023.06.011]

更新日期/Last Update: 2020-03-03