[1]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):736-741.[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(6):736-741.[doi:DOI:10.3969/j.issn.1005-202X.2023.06.011]
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基于信号能量选取的电子耳蜗言语处理策略特征()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
40卷
期数:
2023年第6期
页码:
736-741
栏目:
医学信号处理与医学仪器
出版日期:
2023-06-27

文章信息/Info

Title:
Characteristics of cochlear implant speech processing strategies based on signal energy selection
文章编号:
1005-202X（2023）06-0736-06
作者:
陈又圣; 曹雪梅; 王庚
深圳信息职业技术学院信息与通信学院， 广东 深圳 518000
Author(s):
CHEN Yousheng;  CAO Xuemei;  WANG Geng
School of Information and Communication, Shenzhen Institute of Information Technology, Shenzhen 518000, China
关键词:
电子耳蜗; 频带选取; 信号能量; 言语处理策略
Keywords:
Keywords: cochlear implant frequency band selection signal energy speech processing strategy
分类号:
R318；TH776
DOI:
DOI:10.3969/j.issn.1005-202X.2023.06.011
文献标志码:
A
摘要:
基于信号能量选择的电子耳蜗言语处理策略的算法架构，分析该策略的信号处理过程，并比较波形、信号强度、语音频谱等特征，以获得该策略对语音信号处理的影响。此外，本文对信号序列每帧中选择的最大子带数量以及电子耳蜗滤波器组选择每个子带的概率进行深入统计。研究发现，基于信号能量选择的言语处理策略的特点是低频通道的选取概率较高，高频通道的选取概率较低。通过重点分析算法在信号特征参数传输上的匹配性和频带选择中的关键特征，为提出和改进新的电子耳蜗言语处理策略提供依据。
Abstract:
Abstract: The study explores the algorithm architecture of cochlear implant speech processing strategies based on signal energy selection, analyzes the signal processing process, and compares several features such as waveform, signal intensity and speech spectrum for discussing the role of the strategy in speech signal processing. In addition, an in-depth statistical analysis is carried out on the maximum number of subbands selected in each frame of the signal sequence and the probability of each subband selected using the artificial cochlear filter bank. Its found that the speech processing strategies based on signal energy selection have the characteristics of high probability in low-frequency channels and low probability in high-frequency channels. The analysis on the matching of algorithms in signal feature parameter transmission and key features in frequency band selection provides a basis for putting forward and improving new speech processing strategies for cochlear implants.

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(6):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]
[3]陈又圣,王健,薛国伟,等.电子耳蜗近场信号采集震荡及失配研究[J].中国医学物理学杂志,2017,34(7):731.[doi:10.3969/j.issn.1005-202X.2017.07.016]
　[J].Chinese Journal of Medical Physics,2017,34(6):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(6):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(6):811.[doi:DOI:10.3969/j.issn.1005-202X.2018.07.014]
[6]陈又圣,张春晓,林炜臻,等. 方向性麦克风的极性图特性及增益变化特征研究[J].中国医学物理学杂志,2018,35(12):1468.[doi:DOI:10.3969/j.issn.1005-202X.2018.12.019]
　CHEN Yousheng,ZHANG Chunxiao,LIN Weizhen,et al. Beam pattern characteristics of directional microphone and features of gain changes in cochlear implant[J].Chinese Journal of Medical Physics,2018,35(6):1468.[doi:DOI:10.3969/j.issn.1005-202X.2018.12.019]
[7]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(6):220.
[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(6):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]
　ZHANG Chunxiao,CHEN Yousheng,HUANG Hongzhan.Fractional delay based on Lagrange interpolation and analysis of parameter mismatch in cochlear implant[J].Chinese Journal of Medical Physics,2021,38(6):468.[doi:DOI:10.3969/j.issn.1005-202X.2021.04.014]
[10]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(6):1461.[doi:DOI:10.3969/j.issn.1005-202X.2019.12.019]

备注/Memo

备注/Memo:
【收稿日期】2023-01-26 【基金项目】广东省普通高校特色创新类项目（2019GKTSCX094）；深圳信息职业技术学院项目（SZIIT2020SK002）；广东省普通高校青年创新人才项目（2020KQNCX206）；深圳市科技计划项目（JCYJ20190808093001772） 【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: 2023-06-28