3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.HC2026
Cripping AI: Reimagining AI Through Lived Disability Experiences
Xinru Tang, Ting-an Lin, Jingjin Li +1
Drawing on crip theory, this paper proposes cripping AI as a guiding framework to center lived disability experiences in AI research and development. Moving beyond calls to make AI…
cs.HC2026★ 3 cited
Disability-First AI Dataset Annotation: Co-designing Stuttered Speech Annotation Guidelines with People Who Stutter
Xinru Tang, Jingjin Li, Shaomei Wu
Despite efforts to increase the representation of disabled people in AI datasets, accessibility datasets are often annotated by crowdworkers without disability-specific expertise,…
cs.SD2024
AS-70: A Mandarin stuttered speech dataset for automatic speech recognition and stuttering event detection
Rong Gong, Hongfei Xue, Lezhi Wang +11
The rapid advancements in speech technologies over the past two decades have led to human-level performance in tasks like automatic speech recognition (ASR) for fluent speech. Howe…