期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

语音信号中基于EMD法的情感计算 被引量：1

EMD-Based Emotion Computing for Speech Sign
原文传递
导出
摘要 情感计算是情感语音识别的关键.经验模态分解(EMD)算法是Hilbert-Huang变换(HHT)的核心算法,采用分段幂函数插值算法求情感包络线,能达到更好的情感识别效果.利用软件MATLAB仿真了情感语音信号的经验模态分解(EMD)特性,把情感语音信号进行EMD分解后IMF做频谱变换,便能得到一个情感包络线,根据情感包络线的不同而达到情感识别的目的. Emotion computing is the key to emotional speech recognition. Empirical mode decomposition （EMD）is the core of Hilbert-Huang transformation. Using the piecewise power function in emotional envelope, has a better effect in emotion identification. MATLAB is used to calculate the characteristic of emotional speech signal using empirical mode decomposition （EMD）, we obtain an emotional envelope by transforming the IMF of emotional speech signal, and obtain a new method of emotion recognition using EMD.
作者 秦宇强 张雪英
机构地区 太原理工大学信息工程学院 太原科技大学经济与管理学院
出处 《数学的实践与认识》 CSCD 北大核心 2011年第5期123-128,共6页 Mathematics in Practice and Theory
基金 山西省自然科学基金(2010011020-1) 太原科技大学校青年基金(20103024)
关键词 情感计算 经验模态分解(EMD) 分段幂函数插值算法 EMD情感筛选(EEF) 情感包络线 emotion computing Empirical mode decomposition （EMD） the piecewise power function EMD emotional filtration（EEF） emotional envelope
分类号 TN912.34 [电子电信—通信与信息系统]
  • 相关文献

参考文献12

  • 1Lazarus R S. Emotion and Adaptation[M]. New York: Oxford University Press, 1991.
  • 2Cowie R, Cornelius R. Describing the emotional states that are expressed in speech[J]. Speech Communication 40 (1-2), this issue. , 2003. PII: S0167-6393(02)00071-7.
  • 3Huang NE, Shen Z, Long SR. The empirical mode decomposition and the hilbert spectrum for nonlinear and non-stationary time series analysis [J]. Proc R Soc Ser A (S1471-2946), 1998, 454: 903-995.
  • 4Huang N E, Wu M L, Qu W D. Applications of hilbert-huang transform to non-stationary financial time series analysis [J]. Appl Stochastic Models Bus Indust (S1524-1904), 2003, 19(3): 245-268.
  • 5Tao Jianhua, Kang Yongguo. Features importance analysis for emotional speech classification[C]// Proceeding of ACII, 2005.
  • 6Murray I R, Edgington M D, Campion D, Lynn J. Rule-based emotion synthesis using concatenated speech[C]//Proceedings of ISCA Workshop on Speech and Emotion, Belfast UK, 2000: 173-177.
  • 7Huang N E, Shen Z, Long S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis[J]. Pro Roy Soc Lond A 1998, 454: 903-90.
  • 8Huang N E. Review of empirical mode decomposition[J]. Proceedings of SPIEThe international Society for Optical Engineering, 2001, 439(1): 71-80.
  • 9Jang D N, Zhang W, et al. Prosody Analysis and Modeling for Emotional Speech Synthesis. ICASSP, 2005.
  • 10钟佑明,金涛,秦树人.希尔伯特-黄变换中的一种新包络线算法[J].数据采集与处理,2005,20(1):13-17. 被引量：43

二级参考文献12

  • 1周惠,韩焱.LabVIEW和MATLAB在水声信号处理中的应用[J].微计算机信息,2007,23(22):110-111. 被引量：6
  • 2Huang N E, Shen Z, Long S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. J Proc R Soc Lond A, 1998,454:903～995.
  • 3Zhang R C. Applications of nonstationary, nonlinear data processing and analysis in earthquake engineering[A]. Edited by Chien W Z. Proceedings of the 4th International Conference on Nonlinear Mechanics[C]. Shanghai: Shanghai University Publishing House, 2002.721～727.
  • 4Chen J, Xu Y L. Identification of modal damping ratios of structures with closely spaced modal frequencies[J]. Structural Engineering and Mechanics,2002,14(4):417～434.
  • 5Zhong Y M, Qin S R. HHT and a new noise removal method[A]. Edited by Tan J B and Wen X F. Proceedings of the Second International Symposium on Instrumentation Science and Technology[C]. Harbin: Harbin Institute of Technology Publishers, 2002,3: 553～557.
  • 6Loh C H. Application of the empirical mode decomposition-Hilbert spectrum method to identify near-fault ground-motion characteristics and structural responses[J]. Bulletin of the Seismological Society of America,2001,91(5):1339～1357.
  • 7Veltcheva A D. Wave and group transformation by a Hilbert spectrum[J]. Coastal Engineering Journal, 2002,44(4):283～300.
  • 8周萍,应启戛,张燕连.基于LabVIEW的小波分析的实现及应用[J].微计算机信息,2007(25):179-180. 被引量：9
  • 9Norden E Huang, Zheng Shen, Steven R Long, et al. The empirical mode decomposition and the Hilbert apectrum for nonlinear and non-stationary time series analysis[ J]. Proc R Soc Lond A,1998 (454) :903 - 995
  • 10唐英,孙巧.滚动轴承振动信号的小波奇异性故障检测研究[J].振动工程学报,2002,15(1):111-113. 被引量：16

共引文献53

同被引文献4

引证文献1

数学的实践与认识
2011年 第5期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部