arXiv:2606.17826v1 Announce Type: new Abstract: Automatic speech recognition (ASR) in non-English clinical settings is challenged by multiscript variability, where the same term may appear in multiple valid orthographic forms. Conventional string-matching evaluation metrics often underestimate ASR performance by treating orthographic variants as errors. To address this issue, we introduce MultiClin, a clinical ASR benchmark designed to evaluate robustness to multiscript variability. Experiments across diverse ASR models show that multiscript-aware evaluation provides a fairer assessment of rec
The proliferation of AI in sensitive domains like healthcare is driving the need for more robust and context-aware evaluation metrics, especially as AI expands beyond English-centric applications.
Accurate assessment of ASR performance in diverse clinical settings is crucial for safe and effective deployment of AI, particularly in multilingual environments where orthographic variability is common.
This new benchmark (MultiClin) provides a more nuanced and accurate way to evaluate ASR systems in non-English clinical contexts, moving beyond simplistic string-matching to acknowledge orthographic variants.
- · AI developers focused on multilingual healthcare
- · Healthcare providers in non-English speaking regions
- · Patients receiving care in multilingual clinical settings
- · ASR evaluation methodology researchers
- · ASR models relying solely on conventional string-matching metrics
- · Healthcare systems implementing inadequately evaluated ASR
Improved and more reliable deployment of ASR systems in diverse clinical environments, reducing translation errors and administrative burden.
Increased trust and adoption of AI-powered clinical tools globally, leading to better diagnostic and treatment support in non-English speaking regions.
Evolution of ASR research to prioritize multiscript and contextual understanding over purely phonetic or lexical accuracy, broadening the scope of AI linguistic capabilities across sectors.
This signal links to a primary source. Continuum Brief monitors and indexes it as part of the live intelligence stream — we do not republish source content.
Read at arXiv cs.CL