[1]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):1461-1465.[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(12):1461-1465.[doi:DOI:10.3969/j.issn.1005-202X.2019.12.019]
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基于信号特征的电子耳蜗言语处理策略的频带选取()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
36卷
期数:
2019年第12期
页码:
1461-1465
栏目:
医学信号处理与医学仪器
出版日期:
2019-12-25

文章信息/Info

Title:
Frequency-band selection for signal feature-based speech processing strategy in cochlear implant
文章编号:
1005-202X（2019）12-1461-05
作者:
陈又圣; 杜军
深圳信息职业技术学院电子与通信学院， 广东 深圳 518000
Author(s):
CHEN Yousheng;  DU Jun
School of Electronics and Communication Technology, Shenzhen Institute of Information Technology, Shenzhen 518000, China
关键词:
言语处理策略; 频带选取; 电子耳蜗; 信号特征; 频谱
Keywords:
Keywords: speech processing strategy;  frequency-band selection;  cochlear implant;  signal feature;  frequency spectrum
分类号:
R318；TH776
DOI:
DOI:10.3969/j.issn.1005-202X.2019.12.019
文献标志码:
A
摘要:
言语处理策略提取信号参数，并以特定的编码和刺激模式把参数传递到植入体内的电子阵列，是电子耳蜗各个环节中的关键部分。目前不同类型的电子耳蜗采用不同的言语处理策略，其中基于信号特征的言语处理策略是主流的方法。该模式进行参数提取和频带选择是基于所采集信号本身的特征，其刺激模式与连续交替采样刺激模式不同。本研究基于信号特征的电子耳蜗言语处理策略的频带选取模式和特征，探讨频带选取对信号的影响，并总结基础的参数结果和信号变化结论，有助于电子耳蜗新算法的开发和改进。
Abstract:
Abstract: Speech processing strategy, one of the key parts in cochlear implant, can extract signal parameters and transmit parameters to the inner electrode array through particular encodings and stimulating patterns. At present, different types of cochlear implants adopt different speech processing strategies, and the signal feature-based speech processing strategy is the most common method. Both parameter extraction and frequency-band selection of the signal feature-based speech processing strategy are based on the characteristics of the collected signals themselves, and the corresponding stimulating mode is different from continuous interleaved sampling stimulating mode. Based on the frequency-band selection modes and characteristics of signal feature-based speech processing strategy in cochlear implant, the effects of frequency-band selection on signals are discussed, and the analyses on basic parameters and signal changes are summarized. The research is helpful for developing and improving new algorithms for cochlear implant.

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(12):266.[doi:10.3969/j.issn.1005-202X.2017.03.010]
[2]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.
　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(12):220.
[3]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(12):736.[doi:DOI:10.3969/j.issn.1005-202X.2023.06.011]

备注/Memo

备注/Memo:
【收稿日期】2019-07-08 【基金项目】广东省自然科学基金（2018A030313146） 【通信作者】陈又圣，博士，讲师，主要研究方向：语音增强、麦克风阵列波束形成、电子耳蜗言语处理、医疗仪器设计，E-mail:chenyoushengtsinghua@aliyun.com
更新日期/Last Update: 2019-12-26