Word error rate measures how well a transcript matches the reference. It is the standard extrinsic metric for speech recognition.

Formula

  • is insertions, is deletions and is substitutions
  • is the number of words in the reference transcript, and never the number of predicted words

Where it sits

  • word error rate is extrinsic, because it measures usefulness on a real downstream task
  • perplexity is intrinsic, so it says which model assigns higher probability to unseen text and not which model is better for a task
  • a language model can be compared by perplexity, and the claim that one is better for transcription needs word error rate

The intrinsic counterpart is Perplexity (PPL).