This is an instructiona
l course on Voice Assessment and Interpretation (Acoustic Voice Analysis-G
lottal Inverse Filtering-Biomechanical Analysis). Background While acoustic analysis has been a staple in voice clinics for decades
\, traditional measures like jitter\, shimmer\, and HNR often fail to capt
ure the underlying physiological cause of a voice disorder. Modern phoniat
rics necessitates a more in-depth examination of the laryngeal mechanism.
By integrating Glottal Inverse Filtering (GIF) and Biomechani
cal Analysis\, clinicians can now separate the "source" (vocal fold v
ibration) from the "filter" (vocal tract resonance). This shift allows for
a non-invasive assessment of subglottic pressure\, glottal efficiency\, a
nd tissue stiffness—parameters previously only estimated through invasiv
e or purely subjective means. Description This instructio
nal course provides a hands-on clinical framework for the multidimensional
assessment of voice. Participants will be guided through the transition f
rom standard acoustic metrics to advanced Biomechanical modelling
. The course covers the technical foundations of Glottal Inverse Filte
ring\, demonstrating how to extract the glottal flow waveform to visu
alize how vocal folds actually collide and vibrate. Attendees will learn t
o interpret biomechanical reports that quantify parameters such as percent
age of closured or opened glottal area\, mucosal wave indexes\, glottal ga
p amplitude and size and many others. Through clinical case studies\, the
session will demonstrate how to synthesize these complex data points into
a coherent diagnosis and a targeted rehabilitation or surgical plan.
Execute and Interpret advanced acoustic protocols that go beyond basic frequency a nd amplitude perturbations.
Utilize Glottal Inverse Filtering data to assess glottal closure pat terns and aerodynamic efficiency in patients with organic and functional l esions.
Analyze Biomec hanical Parameters to differentiate between compensatory hyper/hypofunctio n and primary tissue pathology (e.g.\, scarring vs. atrophy).
Integrate Objective Data into the clinical decision-making process for surgical candidacy and the monitoring of voice intervention progress.
Standardize Reporting of objective voice data to improve commun ication within multidisciplinary teams (Phoniatricians\, ENTs\, SLPs\, and Neurologists).