Non-linear prediction for oesophageal voice analysis.

Herein, non-linear prediction methods are applied to oesophageal voice analysis. The research aims to investigate normal and pathological subjects, in order to improve knowledge of the oesophageal voice behaviour. Analysis is performed in the reconstructed phase space, using both non-linear prediction with local linear approximation and the S-Map method. Preliminary results seem to confirm that in normal subjects a non-linear stable deterministic behaviour takes place, while in pathological subjects the non-linear contribution reduces while the time series becomes unstable.

[1]  Fraser,et al.  Independent coordinates for strange attractors from mutual information. , 1986, Physical review. A, General physics.

[2]  R Hegger,et al.  Denoising human speech signals using chaoslike features. , 2000, Physical review letters.

[3]  H. Broer.  Dynamical systems and turbulence, Warwick 1980 , 1981 .

[4]  A. N. Sharkovskiĭ.  Dynamic systems and turbulence , 1989 .

[5]  G. P. King,et al.  Extracting qualitative dynamics from experimental data , 1986 .

[6]  H. Abarbanel,et al.  Determining embedding dimension for phase-space reconstruction using a geometrical construction. , 1992, Physical review. A, Atomic, molecular, and optical physics.

[7]  Ingo Titze,et al.  Nonlinear dynamics of the voice: Signal analysis and biomechanical modeling. , 1995, Chaos.

[8]  V. Positano,et al.  Nonlinear analysis of carotid artery echographic images , 2000 .

[9]  A. Gersho,et al.  LD-CELP speech coding with nonlinear prediction , 1997, IEEE Signal Processing Letters.

[10]  Mohammad Hasan Savoji,et al.  Non-linear Prediction of Speech Signal Using Artificial Neural Nets , 2002, EurAsia-ICT.

[11]  L. Tsimring,et al.  The analysis of observed chaotic data in physical systems , 1993 .

[12]  José Carlos Príncipe,et al.  Nonlinear dynamic modeling of the voiced excitation for improved speech synthesis , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[13]  I R Titze,et al.  Irregular vocal-fold vibration--high-speed observation and modeling. , 2000, The Journal of the Acoustical Society of America.

[14]  D. Rand,et al.  Dynamical Systems and Turbulence, Warwick 1980 , 1981 .

[15]  Iain Mann,et al.  An investigation of nonlinear speech synthesis and pitch modification techniques , 2000 .

[16]  S. K. Mullick,et al.  NONLINEAR DYNAMICAL ANALYSIS OF SPEECH , 1996 .

[17]  George Sugihara,et al.  Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series , 1990, Nature.

[18]  D. Berry,et al.  Analysis of vocal disorders with methods from nonlinear dynamics. , 1994, Journal of speech and hearing research.

[19]  Martin Casdagli,et al.  Nonlinear prediction of chaotic time series , 1989 .

[20]  George Sugihara,et al.  Nonlinear forecasting for the classification of natural time series , 1994, Philosophical Transactions of the Royal Society of London. Series A: Physical and Engineering Sciences.

[21]  Farmer,et al.  Predicting chaotic time series. , 1987, Physical review letters.