3 papers
eess.AS2025
Bridging the Perceptual-Statistical Gap in Dysarthria Assessment: Why Machine Learning Still Falls Short
Krishna Gurugubelli
Automated dysarthria detection and severity assessment from speech have attracted significant research attention due to their potential clinical impact. Despite rapid progress in a…
eess.AS2025
Fairness in Dysarthric Speech Synthesis: Understanding Intrinsic Bias in Dysarthric Speech Cloning using F5-TTS
M Anuprabha, Krishna Gurugubelli, Anil Kumar Vuppala
Dysarthric speech poses significant challenges in developing assistive technologies, primarily due to the limited availability of data. Recent advances in neural speech synthesis,…
cs.AI2025
A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information
Anuprabha M, Krishna Gurugubelli, V Kesavaraj +1
Automatic detection and severity assessment of dysarthria are crucial for delivering targeted therapeutic interventions to patients. While most existing research focuses primarily…