The Word Error Rate (WER) is a key measurement tool utilized in speech recognition technology that quantifies the difference between the system-produced transcript and the original words spoken. Widely employed by linguists and AI researchers, it enhances the accuracy of speech transcription services, benefiting transcription firms, end-users, and ultimately improving user satisfaction.
