Speech Recognition Training Error Categories

When a learning algorithm performs poorly on the training set, what is the recommended first step?

True or False: Reviewing poor training examples involves categorizing and counting errors, similar to dev set error analysis.

If a system performs poorly on the training set, consider listening to about _____ examples the algorithm is doing poorly on.

Match each error analysis concept to its correct description in the context of reviewing training examples.

Order the steps for reviewing poor training examples when the system performs poorly on the training set.

Explain why reviewing ~100 poorly-performing training examples helps diagnose training set errors.

A team's training set accuracy is low; what should they do to diagnose the issue?

Briefly describe what to do when a system is not doing well on the training set.

What is the primary goal of listening to poorly-performing training examples?

True or False: The training set error review process described requires reviewing every single training example.