Key Metrics for Speech-to-Text Accuracy

The industry standard for evaluating speech-to-text accuracy is Word Error Rate (WER), which measures the percentage of incorrectly transcribed words, with lower WER indicating higher accuracy.

Sources

• Measuring Speech-to-Text Accuracy: Metrics and Pros/Cons - DataKnobs
• Measuring Speech-to-Text Accuracy - Google Skills
• Speech to Text Accuracy: Complete Guide to Better Results - AssemblyAI
• Accuracy - The University of Melbourne
• Call transcription accuracy benchmarks: What contact centers should measure - Gladia
• Speech Recognition Challenges and How To Solve Them - Rev

Open the full topic