Word Error Rate (WER) measures transcription accuracy by comparing recognized speech to a reference, counting substitutions, deletions, and insertions. Used to evaluate automatic speech recognition and machine translation systems, it helps developers, researchers, and businesses benchmark performance and improve voice-enabled tools.
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