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Measuring and modeling vocal source-tract interaction

D G Childers1, C F Wong

  • 1Department of Electrical Engineering, University of Florida, Gainesville 32611-2024.

IEEE Transactions on Bio-Medical Engineering
|July 1, 1994
PubMed
Summary
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This study introduces a new method for measuring source-tract interaction in synthetic speech, improving naturalness. The findings aid in developing more realistic speech synthesis and modeling vocal disorders.

Area of Science:

  • Speech synthesis
  • Acoustic phonetics
  • Speech processing

Background:

  • Synthetic speech quality hinges on intelligibility and naturalness.
  • Current systems excel in intelligibility but lack naturalness, often due to simplified source-tract interaction modeling.
  • Natural speech exhibits source-tract interaction, a factor often ignored in synthesis.

Purpose of the Study:

  • To develop an algorithm for quantifying source-tract interaction in voiced speech.
  • To present a speech production model integrating source-tract interaction into the glottal source.
  • To enhance the naturalness of synthetic speech through improved modeling.

Main Methods:

  • Developed an algorithm to automatically measure source-tract interaction in voiced speech.

Related Experiment Videos

  • Proposed a speech production model incorporating source-tract interaction into the glottal source.
  • Controlled glottal pulse skewness and first formant ripple for synthesis.

    • Main Results:

    • Demonstrated that simulating source-tract interaction improves synthetic speech naturalness.
    • Successfully developed a method for measuring this interaction.
    • Introduced a controllable glottal source model accounting for interaction.

    Conclusions:

    • Source-tract interaction is crucial for naturalness in synthetic speech.
    • The proposed algorithm and model offer a pathway to more realistic speech synthesis.
    • This research has significant implications for modeling vocal disorders.