This is an instructional course on Voice Assessment and Interpretation (Acoustic Voice Analysis-Glottal 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 capture the underlying physiological cause of a voice disorder. Modern phoniatrics necessitates a more in-depth examination of the laryngeal mechanism. By integrating Glottal Inverse Filtering (GIF) and Biomechanical Analysis, clinicians can now separate the "source" (vocal fold vibration) from the "filter" (vocal tract resonance). This shift allows for a non-invasive assessment of subglottic pressure, glottal efficiency, and tissue stiffness—parameters previously only estimated through invasive or purely subjective means. Description This instructional course provides a hands-on clinical framework for the multidimensional assessment of voice. Participants will be guided through the transition from standard acoustic metrics to advanced Biomechanical modelling. The course covers the technical foundations of Glottal Inverse Filtering, demonstrating how to extract the glottal flow waveform to visualize how vocal folds actually collide and vibrate. Attendees will learn to interpret biomechanical reports that quantify parameters such as percentage of closured or opened glottal area, mucosal wave indexes, glottal gap 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. Outcome Objectives By the end of this course, participants will be able to:

1. Execute and Interpret advanced acoustic protocols that go beyond basic frequency and amplitude perturbations.

2. Utilize Glottal Inverse Filtering data to assess glottal closure patterns and aerodynamic efficiency in patients with organic and functional lesions.

3. Analyze Biomechanical Parameters to differentiate between compensatory hyper/hypofunction and primary tissue pathology (e.g., scarring vs. atrophy).

4. Integrate Objective Data into the clinical decision-making process for surgical candidacy and the monitoring of voice intervention progress.

5. Standardize Reporting of objective voice data to improve communication within multidisciplinary teams (Phoniatricians, ENTs, SLPs, and Neurologists).