Transcription Accuracy measures how correctly a speech recognition system converts spoken language into text. It is commonly evaluated using metrics such as Word Error Rate (WER).
Voice AI providers continuously improve Transcription Accuracy through better speech models, noise reduction, speaker adaptation, and multilingual training to deliver reliable customer conversations and analytics.