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).