Evaluating Model Interpretability in Speech-Based Clinical Artificial Intelligence Systems.
Purpose: Model interpretability is a critical requirement for deploying artificial intelligence (AI) applications in clinical speech settings, yet existing evaluation methods often overlook this aspect. The complex nature of speech features and the opaque decision-making processes of AI models under...
| Publicado en: | Perspectives of the ASHA Special Interest Groups Vol. 10; no. 5; pp. 1637 - 1649 |
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| Autores principales: | , , , |
| Formato: | tables/charts Journal Article |
| Publicado: |
American Speech-Language-Hearing Association
Oct2025
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| Acceso en línea: | Ver este registro en EBSCOhost |