How to Choose the Best Speech-to-text API for Voice Agents
SMRTR summary
Standard speech-to-text benchmarks like Word Error Rate don't predict real voice agent performance, as they miss crucial factors like punctuation accuracy and domain-specific terminology handling. Voice agents require specialized evaluation focusing on sub-300ms latency, real-time processing, and critical token accuracy rather than generic metrics, with successful implementations typically achieving 30-45% cost reductions and measurable ROI within the first year.
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