[1]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):350-354.[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(3):350-354.[doi:DOI:10.3969/j.issn.1005-202X.2020.03.018]
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基于Bark域的电子耳蜗频带划分分析和拟合研究()
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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3期
页码:
350-354
栏目:
医学信号处理与医学仪器
出版日期:
2020-03-25

文章信息/Info

Title:
Frequency band division analysis and fitting based on Bark domain for cochlear implant
文章编号:
1005-202X（2020）03-0350-05
作者:
陈又圣; 曹智亮; 夏林中; 张春晓; 林炜臻
深圳信息职业技术学院， 广东 深圳 518000
Author(s):
CHEN Yousheng;  CAO Zhiliang;  XIA Linzhong;  ZHANG Chunxiao;  LIN Weizhen
Shenzhen Institute of Information Technology, Shenzhen 518000, China
关键词:
电子耳蜗; 曲线拟合; 频带划分; 滤波器组
Keywords:
Keywords: cochlear implant;  curve fitting;  frequency band division;  filter bank
分类号:
R318；TH776
DOI:
DOI:10.3969/j.issn.1005-202X.2020.03.018
文献标志码:
A
摘要:
目前电子耳蜗主流的言语处理策略是基于滤波器组的言语处理算法，该算法通过分频带进行信号处理并把参数传递到对应的电极上。电子耳蜗滤波器组的频带划分不是等分的，而是按一定规律进行并且符合人耳听觉特性的，其中，Bark域的频带划分是重要的参考。本研究基于Bark域的电子耳蜗频带划分方法，探讨Bark域频带划分的特性并结合目前的电子耳蜗滤波器组的频带划分进行分析，进而探讨频带划分中的曲线拟合方法，为电子耳蜗滤波器组中的频带划分提供重要的方法和参数。
Abstract:
Abstract: At present, the mainstream speech processing strategy for cochlear implants is based on the speech processing algorithm of filter banks. The signals processing by the algorithm is based on frequency band division and the parameters are transferred to the corresponding electrodes. The frequency band division of cochlear filter banks is not equal, but accordes to certain rules and conforms to the human auditory characteristics. Among them, the frequency band division based on Bark domain is an important reference. Herein the method of frequency band division based on Bark domain for cochlear implants is studied. The characteristics of frequency band division based on Bark domain are discussed, and the current frequency band division is analyzed. Then the curve fitting method in frequency band division is further discussed, which provides important methods and parameters for frequency band division of cochlear filter banks.

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备注/Memo

备注/Memo:
【收稿日期】2019-10-11 【基金项目】广东省自然科学基金（2018A030313146）；2019年度广东省普通高校特色创新类项目（2019GKTSCX094）；广东大学生科技创新培育专项资金项目，攀登计划专项（pdjh2020b1197, pdjh2019b0866）；深圳信息职业技术学院人工智能技术应用工程实验室项目（PT201701） 【作者简介】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: 2020-04-02