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Related Experiment Videos

Surrogate analysis for detecting nonlinear dynamics in normal vowels.

I Tokuda1, T Miyano, K Aihara

  • 1Department of Computer Science and Systems Engineering, Muroran Institute of Technology, Hokkaido, Japan. tokuda@csse.muroran-it.ac.jp

The Journal of the Acoustical Society of America
|January 12, 2002
PubMed
Summary
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This study reveals nonlinear dynamics in vowel pitch variations, crucial for natural speech perception. Findings suggest nonlinear prediction techniques could enhance synthesized vowel sounds.

Area of Science:

  • Acoustics
  • Speech Science
  • Nonlinear Dynamics

Background:

  • Vowel pitch-to-pitch variation is essential for natural-sounding speech.
  • Understanding these variations can improve speech synthesis.

Purpose of the Study:

  • To analyze nonlinear dynamics in normal vowel pitch variations.
  • To explore the potential of nonlinear prediction for vowel synthesis.

Main Methods:

  • Utilized false nearest-neighbor analysis to determine low-dimensional reconstruction (4 <= d <= 7).
  • Employed spike-and-wave surrogate analysis to investigate nonlinear dynamics.
  • Analyzed five normal vowels from multiple male and female subjects.

Main Results:

  • Vowel pitch variations exhibit well-defined nonlinear dynamics.

Related Experiment Videos

  • Nonlinear dynamical correlations exist between pitch-waveform patterns in vowel signals.

    • Conclusions:

    • Nonlinear dynamics provide a robust framework for analyzing vowel pitch variations.
    • Nonlinear prediction techniques show promise for naturalistic vowel synthesis.