NDLI: Hidden Phase Space Reconstruction: A Novel Chaotic Time Series Prediction Method for Speech Signals

Content Provider	IET Digital Library
Author	Li, Jingjing Zhang, Qijin Zhang, Yumei Wu, Xiaojun Wang, Xiaoming Su, Yuping
Abstract	Speech signals are nonlinear chaotic time series. This paper proposes a novel speech signal nonlinear prediction model with the hidden phase space reconstruction method. The parameters, embedding dimension m, time delay τ and model structure are solved simultaneously, breaking the restriction of phase space, which needs to be reconstructed before modeling for the existing prediction method. Subsequently, an explicit speech signal prediction model is generated. Meanwhile, the introduction of the frame length parameter k effiectively extends the prediction length. Experimental results show that the values of m and τ solved by the proposed method are consistent with the values addressed by the Cao method and mutual information method, respectively. In addition, the optimal value of k is further discussed. The prediction results obtained using the proposed model are more accurate than those of linear prediction coding, the radial basis function neural network model and the long short-term memory network.
Starting Page	1221
Ending Page	1228
Page Count	8
ISSN	10224653
Volume Number	27
e-ISSN	20755597
Issue Number	Issue 6, Nov (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/cje/27/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/cje.2018.09.010
Journal	Chinese Journal of Electronics
Publisher Date	2018-11-01
Access Restriction	Open
Rights Holder	© Chinese Institute of Electronics
Subject Keyword	Chaos Chaotic Time Series Prediction Method Hidden Phase Space Reconstruction Method Linear Prediction Coding Natural Language Processing Neural Computing Technique Neural Nets Nonlinear Chaotic Time Series Prediction Theory Radial Basis Function Network Radial Basis Function Neural Network Model Signal Processing And Detection Signal Reconstruction Speech And Audio Signal Processing Speech Processing Speech Processing Technique Speech Signal Speech Signal Nonlinear Prediction Model Speech Signal Prediction Model Statistics Time Series
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering

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