期刊文献+

汉语语音基音轨迹的形态学滤波和平滑 被引量:10

Approaches of the Morphological Filtering and Smoothing to Pitch Contrail of Mandarin Tone
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摘要 本文依据数字语音信号的特点,设计了一种用于语音处理的形态学滤波算法,合理选择结构元素构筑了一组用于汉语语音基音轨迹平滑的形态学滤波器,仿真数据的实验结果表明这种方法对于随机误判点与传统中值组合平滑相比效果更佳,同时也证明了数学形态学用于语音信号研究的可行性。 In this paper, based on the traits of the digital speech signal, a new morphology filter algorithm is proposed and a new morphology filter with suitable structuring element is designed to apply to getting the preferable accurate pitch contrail of mandarin. Simulation results show that this new approach is better than the median filter on the stochastic incorrect value, and furthermore, they confirm the feasibility of the mathematical morphology to the speech signal research.
出处 《信号处理》 CSCD 2003年第4期354-357,342,共5页 Journal of Signal Processing
关键词 数字语音信号 数字处理 数字信号处理 汉语语音基音轨迹 形态学 滤波 speech signal morphology filter structuring element pitch contrail smoothing
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参考文献9

  • 1吴晓峰,王威琪,余建国,汪源源.声谱参数的数学形态学提取方法[J].中国生物医学工程学报,1999,18(3):304-309. 被引量:6
  • 2董远,胡光锐.语音识别的非线性方法[J].电路与系统学报,1998,3(1):52-58. 被引量:4
  • 3Wladimir Rodriguez, Horia-Nicolai Teodorescu. A fuzzy information space approach to speech signal non-linear analysis. International Journal of Intelligent Systems.2001, 15(4): 343-363.
  • 4A.Hussain. LOCAL LY-RECURRENT NEORAL-NETWORKS FOR REAL-TIME ADAPTIVE NONLINEAR PREDICTION OF NON-STATIONARY SIGNALS.Control and Intelligent Systems. 2001, 28(2): 65-71.
  • 5Ben K.Jang and Roland T.Chin .Morphological Scale Space for 2D Shape Smoothing .Computer Vision and Image Understanding,1998,70(2): 121-141.
  • 6Maragos P, Schafer RW. Morphological Filter--Part I :their set-theoritic analysis and relation to linear shift invariant filter. IEEE Trans .1987,ASSP-35:l153-1169.
  • 7Maragos P, Schafer RW. Morphological Filter--Part II :their relation to median,order statistic and stack fiter.IEEE Trans 1987, ASSP-35:1170-1184.
  • 8Inge Gavat,Matei Zirra ,Valentin Enescu. Pitch Detection of Speech by Dyadic Wavelet Transform."Politechnica"University Bucharest, ROMANIA, ICSPAT papers, 1997,18(1): 1630-1634.
  • 9Rabiner L R.On the Use of Autocorrelation Analysis for Pitch Detection. IEEE Trans.ASSE 1977,25(1):24-33.

二级参考文献31

  • 1汪源源,吴晓峰,王威琪.超声Doppler血流声谱参数的计算机自动分析方法[J].复旦学报(自然科学版),1993,32(4):413-418. 被引量:6
  • 2冯劲松.使用数学形态学的QRS复波检测方法[J].国外医学(生物医学工程分册),1994,17(6):345-350. 被引量:5
  • 3冯劲松(译),国外医学.生物医学工程分册,1994年,17卷,6期,345页
  • 4汪源源,复旦学报,1993年,32卷,4期,413页
  • 5唐常青,数学形态学方法及其应用,1990年
  • 6Morgan N.Bouland H,An introduction to the hybrid HMM connecitist approach,IEEE Signal Procassing Magazine,Vol.12,No.3,pp.25-42,May 1995.
  • 7Peinado A M Segura J C Use of multiple vector quantisation for semicontinuous HMM speech recognition,IEE Proceeding Vision,Image and Signal Processing,Vol.141,No.6,pp391-6,Dec 1994.
  • 8Renal A S Morgan,Connetionist probability estimators in HMM speech recognition,IEEE Trans on Acoustics Speech and Signal processing,Vol,42,No.2,pp,161-174,1994.
  • 9Reichl W.Ruske G.A hyan On,On estimating robust probability distribution in HMM based speech recognition,IEEE Transactions on Speech and Audio Processing,Vol.3,No.4,pp.279-85,July 1995.
  • 10Nam Soo Kim Chong Kuan On,On,estimating probability distribution in HMM based speech recognition,IEEE Transactions on Speech and Audio Processing,Vol.3,No.4,pp 279-85,July 1995.

共引文献8

同被引文献60

  • 1孔薇,杨杰,周越.基于独立成分分析的强背景噪声去噪方法[J].上海交通大学学报,2004,38(12):1957-1961. 被引量:11
  • 2柏静,韦岗.一种基于线性预测与自相关函数法的语音基音周期检测新算法[J].电声技术,2005,29(8):43-46. 被引量:14
  • 3王光艳,赵晓群,王霞.基于数学形态学的非线性语音增强方法[J].计算机工程与应用,2006,42(34):53-56. 被引量:2
  • 4Yu P T, Some representation properties of stack filters[J]. IEEE Transactions on Signal Processing, 1992, 40(9) :2261-2266.
  • 5Gonzalo R A. Statistical threshold decomposition for reeursive and no recursive median filters [J]. IEEE Transactions on Information theory, 1986, 32 (2): 243-253.
  • 6朱明武,李永新,卜雄洙.测试信号处理[M].北京:北京航空航天大学出版社,2006.
  • 7Salah G Foda,Amer K Dawoud. Highway lane boundary determination for autonomous navigation[C].In:IEEE Pacific Rim Conference on,Communications,Computers and signal Processing,PACRIM Vol 2,2001: 698~702
  • 8Kohonen T.Learning Vector Quantization and the self-Organizing Map[J].Theory and Applications of Neural Networks ,SpringerVerlag,New York, 1992.
  • 9EHRHARDT R.Morphological filter design with genetic algorithms [J].SPIE, 1994 ;2300:2~12.
  • 10MARAGOS P, SCHAFER R W. Morphological filter-part I: their set-theoretic analysis and relation to liner shift invariant filter[J].IEEE Trans ASSP, 1987, 35(8): 1153-1169.

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