3 papers
cs.CL2026
Adapting Self-Supervised Speech Representations for Cross-lingual Dysarthria Detection in Parkinson's Disease
Abner Hernandez, Eunjung Yeo, Kwanghee Choi +12
The limited availability of dysarthric speech data makes cross-lingual detection an important but challenging problem. A key difficulty is that speech representations often encode…
eess.AS2025
Objective and Subjective Evaluation of Diffusion-Based Speech Enhancement for Dysarthric Speech
Dimme de Groot, Tanvina Patel, Devendra Kayande +2
Dysarthric speech poses significant challenges for automatic speech recognition (ASR) systems due to its high variability and reduced intelligibility. In this work we explore the u…
cs.CL2024
Improving child speech recognition with augmented child-like speech
Yuanyuan Zhang, Zhengjun Yue, Tanvina Patel +1
State-of-the-art ASRs show suboptimal performance for child speech. The scarcity of child speech limits the development of child speech recognition (CSR). Therefore, we studied chi…