most citedLLMCARE: early detection of cognitive impairment via transformer models enhanced by LLM-generated synthetic data

6 citations · 9 across the 5 of their papers we have counts for

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eess.AS2026

The Voice of Equity: A Systematic Evaluation of Bias Mitigation Techniques for Speech-Based Cognitive Impairment Detection Across Architectures and Demographics

Yasaman Haghbin, Sina Rashidi, Ali Zolnour +1

Speech-based detection of cognitive impairment offers a scalable, non-invasive screening, yet algorithmic bias across demographic and linguistic subgroups remains critically undere…