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).

this is a panel about Miscallenous Topics in Swallowing

This panel explores the cutting-edge paradigm shift in voice care toward non-invasive methodologies, ranging from simple to complex. Moving beyond traditional subjective scales, we will demonstrate how modern technology—from acoustic analysis to AI-powered biofeedback—is revolutionizing how we quantify vocal function, diagnose pathologies, and deliver therapies. The session will offer a holistic view, encompassing physiological assessment to engaging, patient-centered intervention tools. Participants will gain practical knowledge on integrating these evidence-based, non-invasive techniques into clinical practice to improve diagnostic accuracy, treatment efficacy, patient engagement, and outcomes.

Outcomes objectives

By the end of this panel, participants will be able to: 1. Evaluate the principles and clinical applications of several non-invasive assessment tools (e.g., aerodynamic analysis, acoustic analysis) and interpret their key metrics. 2. Integrate multidimensional voice data (acoustic, aerodynamic, and vibratory) to create a comprehensive and objective profile of a patient's vocal function for differential diagnosis and baseline measurement. 3. Apply the principles of biofeedback and motor learning in the design of intervention protocols using non-invasive technologies, such as real-time visual feedback software and portable voice monitors. 4. Formulate a patient-specific management plan that leverages non-invasive methods for both initial therapy and long-term vocal load management, especially for professional voice users. 5. Anticipate future trends in telepractice and mobile health (mHealth) for voice, understanding how non-invasive tools can expand access to care and promote adherence.

Background

The field of voice disorders has long relied on clinician insight and patient self-reports, supplemented by rigorous endoscopic examinations. While invaluable, this approach can lack the objective granularity needed to track subtle changes, motivate patients, or diagnose complex biomechanical imbalances. Simultaneously, the demand for minimally invasive care is growing, driven by patient preference, the rise of telehealth, and the need to treat disorders such as muscle tension dysphonia or vocal fatigue without surgery. Technological convergence has created a new set of tools. For example, Advanced acoustic analysis extracts dozens of parameters beyond simple pitch and intensity. Together, these methods provide an unprecedented quantitative perspective on vocal health.This panel addresses the crucial need to translate these technological advances from the research laboratory to conventional clinical pathways.