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一种基于DSP的人工耳蜗语音处理器设计 被引量:2

A design of speech signal processor for cochlear implants based on DSP
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摘要 传统的人工耳蜗语音处理器采用ASIC设计,投入成本高,可移植性差,设计了一种基于TMS320VC5509A的人工耳蜗语音处理器。该处理器采用双麦克风接受语音信号,实现了语音信号的自适应噪声消除和CIS(Continuous Interleaved Sampling)方案。同一段语音由DSP采样处理得到的刺激脉冲与MATLAB采样处理的结果基本相同。实验结果表明,基于DSP的人工耳蜗语音处理器能实现语音信号中噪声的消除并得到良好的刺激脉冲。 The traditional speech signal processor for cochlear implants is designed by ASIC. It is high cost and poor portability. This article describes the design of speech processor for cochlear implants based on TMS320VC5509A. The processor adopts two microphones to acquire speech signal. And it implements self-adaptive noise reduction of the speech signal and the CIS algorithm. The stimulating pulse obtained by DSP is basically the same with it obtained by MATLB. The experimental results show that the speech signal processor for cochlear implant based on DSP can implement noise elimination of speech signal and obtain good stimulating pulse.
出处 《电子设计工程》 2013年第6期113-116,共4页 Electronic Design Engineering
关键词 DSP 人工耳蜗 自适应噪声消除 语音处理器 DSP cochlear implants self-adaptive noise reduction speech signal processor
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参考文献8

  • 1Soon Kwan An,Se-Ik Park,Sang Beom Jun,et al. Design fora simplified cochlear implant system[J]. IEEE Transactions onBiomedical Engineering, 2007,54(6) ;973-980.
  • 2Marsman E D, Senger R M, Carichner G A,et al. A DSParchitecture for cochlear implants [J]. Circuits and Systems,ISC AS,2006,2(6): 657-660.
  • 3冉涌,陈立万.基于TMS320VC5509A的超声波电子笔设计[J].电子科技,2010,23(4):58-60. 被引量:1
  • 4Spriet A,Deun L V,Eftaxiadis K,et al. Speech understandingin background noise with the Two-microphone adaptivebeam-former BEAM in the nucleus freedom cochlear Implantsystem[J], Katholieke Universiteit Leuven,DepartementElektrotechniek,ESAT-SISTA/TR,2005,28(1):61-71.
  • 5赭金.自适应滤波器原理[M].4版.郑宝玉,译.北京:电子工业出版社,2003.
  • 6Wilson B S,Finley C C,Lawson D T. Better speech recognitionwith cochlear implants[J]. Nature, 1991 (352) :236-238.
  • 7TMS320VC5509 Fixed-Point Digital Signal Processor DataManual , Texas Instruments[S]. 2004.
  • 8TLV320AIC23 Data Manual,Texas Instruments[S]. 2004.

二级参考文献8

  • 1祝敏.超声波测距误差分析及修正方法[J].计量与测试技术,2009,36(2):21-22. 被引量:11
  • 2蒋林,闫继宏,臧希喆,赵杰.一种新的超声波绝对定位方法[J].吉林大学学报(工学版),2009,39(1):188-193. 被引量:12
  • 3刘迎建,王红岗,黄长江,等.触控感应按键手写绘画板及实现方法[P].中国:CN200710062786.X,2008.
  • 4Jaejun L,Yunmo C.Design of a Wireless Handwriting Input System for Mobile Devices[C].Consumer Electronics,Proceedings of the Ninth International Symposium on,2005:222-225.
  • 5Jaejun L,Sang H H,Yunmo C.Robust Tracking of Ultrasonic Pen for Handwriting Digitizer Applications[J].Consumer Electronics,IEEE Transactions on,2007,53(3):1098-1102.
  • 6Texas Instruments.TMS320VC5509A Data Sheet[Z].USA:Texas Instruments Inc,2005.
  • 7Microchip Technology Inc.PIC10F200/202/204/206 Data Sheet[Z].USA:Microchip Iechnology,Inc,2009.
  • 8王伟.基于CMOS传感器的简易电子白板应用研究[J].科技创新导报,2009,6(28):10-10. 被引量:2

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