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Related Experiment Videos

A quasi-glottogram signal.

Greg Kochanski1, Chilin Shih

  • 1Oxford University, Phonetics Laboratory, Oxford OX1 2JF, United Kingdom. gpk@alum.mit.edu

The Journal of the Acoustical Society of America
|November 1, 2003
PubMed
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A new quasi-glottogram (QGG) method uses microphones to measure glottal oscillation strength noninvasively. This technique improves voice analysis and speech amplitude estimation in natural speech and text-to-speech systems.

Area of Science:

  • Speech Science
  • Bioacoustics
  • Signal Processing

Background:

  • Assessing glottal oscillation strength is crucial for understanding speech production.
  • Existing methods for glottal signal estimation can be invasive or limited in natural speech scenarios.
  • Phoneme variability often complicates accurate amplitude measurement in speech signals.

Purpose of the Study:

  • To introduce a novel, noninvasive method for reliably measuring glottal oscillation strength.
  • To develop a quasi-glottogram (QGG) signal that approximates the electroglottogram (EGG).
  • To explore the utility of QGG in improving voice analysis and speech amplitude estimation.

Main Methods:

  • Utilizing a microphone array to capture acoustic data.
  • Training the microphone array system to generate a quasi-glottogram (QGG) signal.

Related Experiment Videos

  • Comparing QGG signal characteristics with established electroglottogram (EGG) signals.

    • Main Results:

    • The proposed quasi-glottogram (QGG) signal reliably indicates glottal oscillation strength.
    • QGG shows potential for enhancing voiced/unvoiced speech detection and quantifying partial voicing.
    • QGG amplitude estimation is less affected by phoneme variations compared to standard methods.

    Conclusions:

    • The noninvasive quasi-glottogram (QGG) technique offers a reliable alternative for glottal signal analysis.
    • QGG is suitable for text-to-speech systems, providing glottal flow estimates during natural speech.
    • QGG provides a robust amplitude estimation for prosody studies, minimizing phoneme-related artifacts.