Quantifies the accuracy of machine-generated transcriptions or translations by measuring the proportion of words that are incorrectly transcribed or translated compared to the reference text.
actual_output
: The Generated Transcripts given by the modelexpected_output
: Reference transcript textResult
: WER percentage (0–100, lower is better)Reasoning
: Brief breakdown of errors (S, D, I) and overall accuracy