A speech model has low error on clean recordings but high error in factories. What is the best evaluation improvement?

1. Use only studio recordings for all future tests
2. Include representative noisy conditions and slice-specific measures
3. Drop all quiet speech from the task definition silently
4. Select the model by its training duration only