Evaluate Clinical ASR Models Faster with Agent Skills and NVIDIA Nemotron Speech | NVIDIA Technical Blog

This post details a specific application of agent skills within the automated model fine-tuning and deployment thread. It introduces a workflow for generating pronunciation-aware synthetic audio for clinical ASR evaluation using NVIDIA agent skills, NeMo Data Designer, and Nemotron Speech. The contribution lies in demonstrating how agent skills can orchestrate a complex, iterative process involving profile definition, term ingestion, pronunciation QA, synthetic audio generation via SSML and phoneme markup, and ASR evaluation. This workflow addresses the challenges of clinical terminology, data privacy, and the need for repeatable feedback loops in ASR model development.