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基于SPCE061A单片机的嵌入式语音识别系统设计 被引量:4

THE HARDWARE DESIGN OF SPEECH RECOGNITION BASED ON SPCE061A
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摘要 设计一款嵌入式语音识别系统,该系统硬件平台以凌阳公司的SPCE061A为核心。采用离散隐马尔科夫模型识别算法对非特定人的孤立词语音识别。实验结果表明,该系统对非特定人孤立词识别率达90%以上,性价比高,可应用于许多场合,有一定的市场前景。文章阐述了该系统各个电路模块及软件流程图的设计。 We design an embedded speech recognition system. The system was centered SPCE061A of Sunpluse company. It was realization of speaker-independent’s isolated word recognition through DHMM. The experiment confirms that its speech recognition accuracy reaches 90 percent for speaker-independent and short vocabulary. The system has advantages of high rate of quantity and price. It can be used in some special situations and has much marker potential. We also elaborate the circuit modules and software flow diagram of the system.
出处 《井冈山大学学报(自然科学版)》 2015年第2期48-53,共6页 Journal of Jinggangshan University (Natural Science)
基金 井冈山大学科研计划项目(JZ10006)
关键词 SPCE061A 语音识别 离散隐马尔科夫模型 非特定人 孤立词 SPCE061A SPCE061A speech recognition DHMM isolated word
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参考文献9

  • 1Rabiner L,Juang B. Fundamentals of Speech Recognition[M]. Englewood Cliff, NewJersey:Prentiee- Hall, 1993.
  • 2薛均义.凌阳16位单片机原理及应用[M].北京:北京航空航天大学出版社,2003.
  • 3荆嘉敏,刘加,刘润生.基于HMM的语音识别技术在嵌入式系统中的应用[J].电子技术应用,2003,29(10):12-14. 被引量:12
  • 4Yujian Li, Hidden Markov models with states depending on observations[J]. Pattern Recognition Letters, 2005, 26(7):984.
  • 5S.E.Levinson.Continuous speech recognition by means of acoustic-phonetic classification obtained from a hidden Markov model[J].in Proc.ICASSP' 87(Dallas TX), 1987.
  • 6魏星,周萍.语音识别系统及其特征参数的提取研究[J].计算机与现代化,2009(9):167-168. 被引量:5
  • 7Cheng O, Abdulla W, Salcic Z, et a.1 Speech recognition system for embedded real-time applications[C]. 2009 IEEE InternationalSymposium on. Signa Processing and Information Technology (ISSPIT), 2009: 118-122.
  • 8Wang D. Zhangliang.Embeded speech recognition system on 8-bit MCU core[C].IEEE international Conference on Acoustics Speech and Signal Processing, 2004.
  • 9Furui S. 50Years of Progress in Speech and Speaker Reeognition Researeh[J]. ECTIT ransactionS on ComPuter and Information Teehnology,2005,1(2):64-74.

二级参考文献12

  • 1Gowdy J N, Tufekci Z. Mel-Scaled discrete wavelet coefficients for speech recognition [ EB/OL ]. http ://ieeexplore. ieee. org,/ie15/6939/18687/00861829, pdf,2000-06-01.
  • 2Torres H M, Rufiner H L. Automatic speaker identification by means of Mel cepstrum, wavelets and wavelet packets [ EB/OL ]. http : // ieeexplore, ieee. org/iel 5/7218/19434/ 00897886. pdf,2000-07-01.
  • 3Farooq O,Datta S. Mel fiher2Like admissible wavelet packet structure for speech recognition[J]. IEEE Signal Processing Letters ,2001,8(7) : 196-198.
  • 4Lawrence Rabiner, Biing-hwang Juang. Fundamentals of Speech Recognition. Prentice-Hall International, Inc., 1993.
  • 5Bernd Burchard, Ronald Romer. Oliver Fox. A Single Chip Phoneme Based HMM Speech Recognition System for Consumer Applications. IEEE Transactions on Consumer Electronics, 2000;46(3).
  • 6Rabiner L R, Wilpon J G, Soong F K. High Performance Connected Digit Recognition Using Hidden Markov Models.IEEE Trans. on ASSP, 1989; 37(8).
  • 7杨行峻 迟惠生 等.语音数字信号处理[M].北京:电子工业出版社,1995..
  • 8宁飞,陈频.说话人识别的几种方法[J].电声技术,2001,25(12):9-14. 被引量:11
  • 9侯风雷,王炳锡.基于支持向量机的说话人辨认研究[J].通信学报,2002,23(6):61-67. 被引量:17
  • 10孙妍,杨晓非.基于MFCC和LSP混合的语音特征参数的技术研究[J].计算机与信息技术,2007(Z1):43-45. 被引量:1

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