Why your voice agent mishears "8" as "H"

Voice agents that perform well in ordinary conversation but truncate confirmation numbers, account IDs, and other recited sequences may suffer from endpointing errors rather than poor speech recognition, because long pauses between digits can cause turn detection to close before a caller finishes speaking. The proposed diagnosis is to compare transcription failures in conversational speech with those in recited strings: missing sequence tails, especially when general conversation is accurate, indicate premature endpointing. Recommended mitigations include supplying the speech system with the agent’s latest prompt as contextual information, temporarily extending silence thresholds while collecting expected entities, restoring normal conversational settings afterward, and force-ending a turn once an expected value is complete. The piece also recommends updating keyterm prompts by conversation stage for recognizable terms such as names, locations, or product names, monitoring voice activity and speaker-label settings that can affect endpointing, and measuring entity error rates by category rather than relying primarily on pooled word error rate. It argues that evaluations should use complete, real-world conversations with production turn-detection settings, since isolated audio clips assess acoustic transcription but may not expose failures caused by conversational timing and configuration.

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