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一种数字助听器多通道响度补偿方法

王青云 赵力 赵立业 邹采荣

王青云, 赵力, 赵立业, 邹采荣. 一种数字助听器多通道响度补偿方法[J]. 电子与信息学报, 2009, 31(4): 832-835. doi: 10.3724/SP.J.1146.2007.01449
引用本文: 王青云, 赵力, 赵立业, 邹采荣. 一种数字助听器多通道响度补偿方法[J]. 电子与信息学报, 2009, 31(4): 832-835. doi: 10.3724/SP.J.1146.2007.01449
Wang Qing-yun, Zhao Li, Zhao Li-ye, Zou Cai-rong. A Multichannel Loudness Compensation Method for Digital Hearing Aids[J]. Journal of Electronics & Information Technology, 2009, 31(4): 832-835. doi: 10.3724/SP.J.1146.2007.01449
Citation: Wang Qing-yun, Zhao Li, Zhao Li-ye, Zou Cai-rong. A Multichannel Loudness Compensation Method for Digital Hearing Aids[J]. Journal of Electronics & Information Technology, 2009, 31(4): 832-835. doi: 10.3724/SP.J.1146.2007.01449

一种数字助听器多通道响度补偿方法

doi: 10.3724/SP.J.1146.2007.01449
基金项目: 

国家自然科学基金(60872073)和江苏省自然科学基金(BK2008291)资助课题

A Multichannel Loudness Compensation Method for Digital Hearing Aids

  • 摘要: 该文提出了一种数字助听器非等宽多通道响度补偿方法。该方法研究了完美重构滤波器组分析与综合滤波器的设计方法,并根据人耳对频率的灵敏度特征及对声强的感知特性实现了符合人耳听觉特征的非等宽多通道响度补偿方案。针对典型老年性耳聋患者的实验与仿真结果表明,算法有效补偿了患者缺失的语音高频能量,显著提高了患者的言语辨识率,降低了患者的言语察觉阈。
  • Schneider T and Brennan R L. A multichannel compressionstrategy for a digital hearing aid [C]. 1997 IEEE InternationalConference on Acoustics, Speech, and Signal Processing(ICASSP-97), Munich, Germany, 1997: 411-415.[2]应俊. 基于DSP 数字助听器关键技术的研究[D]. [硕士论文],北京:军医进修学院, 2006.Ying Jun. Research of key technology in digital hearing aidsbased on DSP. [Master dissertation], Beijing: PLAPostgraduate Medical School, 2006.[3]Chong K S, Gwee B H, and Chang J S. A 16-channellow-power nonuniform spaced filter bank core for digitalhearing aids [J].IEEE Trans. on Circuits and Systems II:Express Briefs.2006, 53(9):853-857[4]Lars S N and Jens S. Designing asynchronous circuits for lowpower: An IF IR filter bank for a digital hearing aid [J].Proc.IEEE.1999, 87(2):268-281[5]Li M, McAllister H G, and Black N D. Wavelet-basednonlinear AGC method for hearing aid loudnesscompensation [J].IEE Proceedings of Vision, Image andSignal Processing.2000, 147(6):502-507[6]陶智, 赵鹤鸣, 龚呈卉. 基于听觉掩蔽效应和Bark 子波变换的语音增强[J]. 声学学报, 2005, 30(4): 367-372.Tao Zhi, Zhao He-ming, and Gong Cheng-hui. Speechenhancement based on masking properties of human auditorysystem and bark wavelet transform [J]. Acta Acoustica, 2005,30(4): 367-372.[7]赵力. 语音信号处理[M]. 北京机械工业出版社, 2005: 14-20.Zhao Li. Speech Signal Processing [M]. Beijing: ChinaMachine Press, 2005: 14-20.[8]乔杰. 利用人耳听觉特性的子带双声道回波抵消[J]. 应用科学学报, 2007, 25(4): 331-336.Qiao Jie. Sub-band stereo acoustic echo cancellation usinghuman auditory [J]. Journal of Applied Sciences, 2007, 25(4):331-336.[9]Sun Y R and Signell S. Algorithms for nonuniform bandpasssampling in radio receiver[C]. Proceedings of the 2003International Symposium on Circuits and Systems, 2003(ISCAS 2003), Bangkok, Thailand, May 2003 1: I-1-I-4.[10]Harteneck M, Weiss S, and Stewart R W. Design of nearperfect reconstruction oversampled filter banks for subbandadaptive [J].IEEE Trans. on Circuits and Systems II: Analogand Digital Signal Processing.1999, 46(8):1081-1085[11]Kuo Yu-ting, Lin Tay-jyi, Chang Wei-han, Li Yueh-tai, LiuChih-wei, and Young Shuenn-tsong. Complexity-effectiveauditory compensation for digital hearing [C]. IEEEInternational Symposium on Circuits and Systems, 2008(ISCAS 2008), Seattle, USA, May 2008, 5: 1472-1475.[12]Weiss S, Lampe L, and Wtewart R W. Efficientimplementations of complex and real valued filter Banks forcomparative subband processing with an application toadaptive filtering[J].Proceedings of International Symposiumon Communication Systems Digital Signal Processing,1998, Sheffield, U K, Apr.1998, 1:32-35
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出版历程
  • 收稿日期:  2007-09-11
  • 修回日期:  2009-01-20
  • 刊出日期:  2009-04-19

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