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

What this post added

This post details a workflow for evaluating clinical ASR models using agent skills, NeMo Data Designer, and Nemotron Speech. It introduces a process for generating pronunciation-aware synthetic audio, reviewing clinical terms, and benchmarking ASR performance. The workflow leverages agent skills to guide the process, starting with defining clinical profiles and iteratively improving the benchmark based on ASR evaluation results. The core technical contribution is the pipeline for creating pronunciation-validated synthetic audio data, which addresses the challenges of rare clinical terminology and privacy concerns associated with real patient data.