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Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
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Vibrato and tremor extent spectrum: algorithm and applications.

Maurílio N Vieira1, José Eduardo de C Silva, Hani C Yehia

  • 1Departamento de Física, Universidade Federal de Minas Gerais, Caixa Postal 702, CEP 30.123-970, Belo Horizonte, MG, Brazil. maurilio@fisica.ufmg.br

The Journal of the Acoustical Society of America
|July 27, 2011
PubMed
Summary

This study introduces a novel frequency domain method to measure vibrato and tremor extent. By processing fundamental frequency (f(0)) contours, this technique quantifies voice undulations effectively.

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Area of Science:

  • Acoustics
  • Speech Science
  • Signal Processing

Background:

  • Vibrato and tremor extent are crucial voice quality parameters.
  • Existing methods for measuring these voice undulations have limitations.
  • The spectral analysis of fundamental frequency (f(0)) undulations has not been fully explored for extent measurement.

Purpose of the Study:

  • To develop and validate a new method for measuring vibrato and tremor extent.
  • To investigate the possibility of measuring extent in the spectra of fundamental frequency (f(0)) low-frequency undulations.
  • To provide a prompt and effective frequency domain approach for voice analysis.

Main Methods:

  • Developed a method to cancel average (DC) values and baseline drifts of f(0) contours.
  • Applied spectral weighting using the time window DC value.
  • Obtained extent measures in the frequency domain.

Main Results:

  • Demonstrated that extent measures can be promptly obtained in the frequency domain.
  • Successfully applied the method to both synthetic and human voice data.
  • Showcased the effectiveness of spectral analysis for quantifying voice undulations.

Conclusions:

  • The proposed frequency domain method offers a novel approach to measure vibrato and tremor extent.
  • This technique overcomes limitations of previous methods by analyzing f(0) spectra.
  • The findings have implications for objective voice assessment and analysis.