When Multiple Scripts Matter: Evaluating ASR in Clinical Settings

1. 1Build a clinical ASR dataset with multiscript variability
2. 2Run experiments using conventional string-matching evaluation metrics
3. 3Configure the MultiClin benchmark to evaluate ASR performance
4. 4Test the robustness of ASR models to multiscript variability
5. 5Apply the MultiClin benchmark to real-world clinical settings

Data scientists and ASR engineers on a team benefit from this benchmark as it helps them evaluate and improve the robustness of their ASR models in clinical settings, particularly in non-English languages

💡 Conventional string-matching evaluation metrics underestimate ASR performance in clinical settings with multiscript variability, making the MultiClin benchmark a necessary tool

🗣️ Evaluate ASR in clinical settings with MultiClin benchmark 💡