5 papers
Something from Nothing: Data Augmentation for Robust Severity Level Estimation of Dysarthric Speech
Jaesung Bae, Xiuwen Zheng, Minje Kim +2
Dysarthric speech quality assessment (DSQA) is critical for clinical diagnostics and inclusive speech technologies. However, subjective evaluation is costly and difficult to scale,…
SiamCTC: Learning Speech Representations through Monotonic Temporal Alignment
SooHwan Eom, Mark Hasegawa-Johnson, Chang D. Yoo
Self-supervised speech representation learning has made significant progress through Siamese networks, which leverage different views of the same input. However, existing methods o…
Towards Robust Dysarthric Speech Recognition: LLM-Agent Post-ASR Correction Beyond WER
Xiuwen Zheng, Sixun Dong, Bornali Phukon +2
While Automatic Speech Recognition (ASR) is typically benchmarked by word error rate (WER), real-world applications ultimately hinge on semantic fidelity. This mismatch is particul…
The Interspeech 2025 Speech Accessibility Project Challenge
Xiuwen Zheng, Bornali Phukon, Jonghwan Na +13
While the last decade has witnessed significant advancements in Automatic Speech Recognition (ASR) systems, performance of these systems for individuals with speech disabilities re…
Towards Unsupervised Speech Recognition Without Pronunciation Models
Junrui Ni, Liming Wang, Yang Zhang +4
Recent advancements in supervised automatic speech recognition (ASR) have achieved remarkable performance, largely due to the growing availability of large transcribed speech corpo…