STT Accuracy
"The measurement of how correctly an AI converts spoken audio into written text."
What is STT Accuracy?
The measurement of how correctly an AI converts spoken audio into written text. Botcadence teams apply this in production with Voice Agents.
Deep Dive
STT (Speech-to-Text) accuracy is measured using Word Error Rate (WER). Botcadence uses state-of-the-art models like Whisper and Deepgram to ensure that even accents, background noise, and technical jargon are transcribed with over 95% accuracy. Engineering teams treat STT Accuracy as an infrastructure choice: measure quality KPIs, set latency or accuracy budgets, and keep fallbacks when inputs degrade. See Voice Agents.
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