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Volumn , Issue , 2003, Pages 817-820

Nonlinear analysis of speech signals: Generalized dimensions and lyapunov exponents

Author keywords

[No Author keywords available]

Indexed keywords

DIFFERENTIAL EQUATIONS; FRACTAL DIMENSION; FRACTALS; LYAPUNOV FUNCTIONS; LYAPUNOV METHODS; NONLINEAR ANALYSIS; PHASE SPACE METHODS;

EID: 85009188340     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (24)

References (19)
  • 1
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    • (1989) Speech Production and Speech Modelling , vol.55
    • Teager, H.M.1    Teager, S.M.2
  • 2
    • 0001059592 scopus 로고
    • Some observations on vocal tract operation from a fluid flow point of view
    • I. R. Titze and R. C. Scherer (Eds.), Denver Center for Performing Arts, Denver, CO
    • J. F. Kaiser, "Some Observations on Vocal Tract Operation from a Fluid Flow Point of View", in Vocal Fold Physiology: Biomechanics, Acoustics, and Phonatory Control, I. R. Titze and R. C. Scherer (Eds.), Denver Center for Performing Arts, Denver, CO, pp. 358-386, 1983.
    • (1983) Vocal Fold Physiology: Biomechanics, Acoustics, and Phonatory Control , pp. 358-386
    • Kaiser, J.F.1
  • 3
    • 85011603315 scopus 로고
    • A finite element model of fluid flow in the vocal tract
    • T. J. Thomas, "A finite element model of fluid flow in the vocal tract", Comput. Speech & Language, 1:131-151, 1986.
    • (1986) Comput. Speech & Language , vol.1 , pp. 131-151
    • Thomas, T.J.1
  • 4
    • 0033006667 scopus 로고    scopus 로고
    • Fractal Dimensions of Speech Sounds: Computation andApplication toAutomatic Speech Recognition
    • March
    • P. Maragos and A. Potamianos, "Fractal Dimensions of Speech Sounds: Computation andApplication toAutomatic Speech Recognition", J. Acoust. Soc. Amer., 105 (3), pp.1925-1932, March 1999.
    • (1999) J. Acoust. Soc. Amer. , vol.105 , Issue.3 , pp. 1925-1932
    • Maragos, P.1    Potamianos, A.2
  • 5
    • 0036289924 scopus 로고    scopus 로고
    • Speech analysis and feature extraction using chaotic models
    • Orlando
    • V. Pitsikalis and P. Maragos, "Speech analysis and feature extraction using chaotic models", Proc. IEEE ICASSP'02, Orlando, pp. 533-536, 2002.
    • (2002) Proc IEEE ICASSP'02 , pp. 533-536
    • Pitsikalis, V.1    Maragos, P.2
  • 8
    • 0029764970 scopus 로고    scopus 로고
    • Synthesis and coding of continuous speech with the nonlinear oscillator model
    • G. Kubin, "Synthesis and Coding of Continuous Speech with the Nonlinear Oscillator Model", Proc. IEEE ICASSP'96, pp. 267-270, 1996.
    • (1996) Proc IEEE ICASSP'96 , pp. 267-270
    • Kubin, G.1
  • 11
    • 0346372923 scopus 로고
    • The infinite number of generalized dimensions of fractals and strange attractors
    • H.G.E Hentschel and I. Procaccia, "The Infinite Number of Generalized Dimensions of Fractals and Strange Attractors", Physica 8D, pp. 435- 444,1983.
    • (1983) Physica , vol.8 D , pp. 435-444
    • Hentschel, H.G.E.1    Procaccia, I.2
  • 12
    • 0001463465 scopus 로고
    • Statistical description of chaotic attractors: The dimension function
    • R. Badii and A. Politi, "Statistical description of chaotic attractors: the dimension function", J. Stat. Phys., 40, pp.725-750, 1984.
    • (1984) J. Stat. Phys. , vol.40 , pp. 725-750
    • Badii, R.1    Politi, A.2
  • 13
    • 0004088074 scopus 로고
    • Efficient algorithms for computing fractal dimensions
    • G. Mayer-Kress, editor, Springer Series, Springer-Verlag, NewYork
    • F. Hunt, and F. Sullivan, "Efficient algorithms for computing fractal dimensions", in Synergetics, G. Mayer-Kress, editor, Springer Series, 32, Springer-Verlag, NewYork, pp.74-81, 1986.
    • (1986) Synergetics , vol.32 , pp. 74-81
    • Hunt, F.1    Sullivan, F.2
  • 15
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modeling and control
    • T. Takagi and M. Sugeno, "Fuzzy identification of systems and its applications to modeling and control", IEEE Trans. Systems, Man and Cybenetics, vol.15, no.1, 1985.
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    • Takagi, T.1    Sugeno, M.2
  • 16
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    • J. Jang "ANFIS:Adaptive Network-Based Fuzzy Inference System", IEEE Trans. Systems, Man & Cybenetics, vol. 23, pp. 665-685, 1993.
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  • 18
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    • A direct adaptive method for faster backpropagation learning: The rprop algorithm
    • San Francisco, CA, March
    • M. Riedmiller and H. Braun, "A Direct Adaptive Method for Faster Backpropagation Learning: The RPROP Algorithm", in Proc. IEEE Int'l Conf. on Neural Networks, San Francisco, CA, pp. 586-591, March, 1993.
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    • Riedmiller, M.1    Braun, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.