Textures and Networks of Healthy and Pathological voice Signals
Tuan D. Pham · 2024
This study presents a pioneering effort in utilizing artificial intelligence within the field of fuzzy logic and nonlinear dynamics to extract recurrence textures and networks from voice signals. The experimental outcomes indicate that textural representations, network topologies, and their associated features hold promise as valuable tools for distinguishing between healthy and disordered voices across both male and female subjects.