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cs.AI2025
A Comparative Study of Controllability, Explainability, and Performance in Dysfluency Detection Models
Eric Zhang, Li Wei, Sarah Chen +1
Recent advances in dysfluency detection have introduced a variety of modeling paradigms, ranging from lightweight object-detection inspired networks (YOLOStutter) to modular interp…
cs.AI2025
Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications
Eric Zhang
Stuttering affects approximately 1% of the global population, impacting communication and quality of life. While recent advances in deep learning have pushed the boundaries of auto…