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Related Experiment Video

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Characterization of the Isolated, Ventilated, and Instrumented Mouse Lung Perfused with Pulsatile Flow

Characterization of the Isolated, Ventilated, and Instrumented Mouse Lung Perfused with Pulsatile Flow

Published on: April 29, 2011

Voicing produced by a constant velocity lung source.

M S Howe¹, R S McGowan

¹Boston University, College of Engineering, 110 Cummington Mall, Boston, Massachusetts 02215, USA. mshowe@bu.edu

The Journal of the Acoustical Society of America

|April 6, 2013

Summary

This summary is machine-generated.

This study reveals that vocal fold vibration models using constant subglottal pressure (pI) underestimate airflow and sound levels. A new model based on lung volumetric flow rate (Qo) offers more accurate predictions for voiced sounds.

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Investigating the Three-dimensional Flow Separation Induced by a Model Vocal Fold Polyp

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Published on: February 3, 2014

Area of Science:

Acoustics
Biomechanics
Speech Science

Background:

Traditional models of vocal fold vibration assume constant subglottal pressure (pI).
Voicing initiation actually depends on lung contraction increasing subglottal pressure to separate vocal folds.

Purpose of the Study:

To investigate the influence of subglottal boundary conditions on voiced sound prediction.
To reformulate voicing models using prescribed lung volumetric flow rate (Qo) instead of constant pI.

Main Methods:

Analysis of an idealized mechanical vocal system with precisely specified boundary conditions.
Reformulation of voicing characteristics based on time-dependent subglottal mean pressure (p[overline]-(t)).

Main Results:

Glottal volume velocity pulse shape predictions align with the constant-pI theory when pI equals the time-averaged p[overline]-(t).
The constant-pI approximation underestimates mean flow rates (Qo) and sound pressure levels by up to 10%.

Conclusions:

Prescribed volumetric flow rate (Qo) provides a more accurate basis for modeling voiced sounds.
Accounting for time-dependent subglottal pressure improves the accuracy of vocal fold vibration predictions.