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Speech to text for voice agents

Speech to text is the component that converts a caller's spoken words into written text a voice agent can actually process. In a live phone conversation, it needs to be both fast and accurate, since it's the very first step in the entire response pipeline.

Why accuracy matters more than it might seem

If speech to text mishears even a key word or two, the language model responds to something the caller didn't actually say, which can derail an otherwise well configured conversation. Accuracy directly affects how reliable the whole system feels.

Handling real world audio conditions

Phone calls often include background noise, varying accents, and imperfect audio quality, all of which make speech to text a harder problem in this context than transcribing a clean studio recording.

Balancing speed and accuracy

Since speech to text is the first stage in the response pipeline, it directly affects overall latency, which means providers often need to balance transcription accuracy against processing speed to keep the conversation feeling responsive.

Frequently asked

Quality varies by provider and audio conditions, but modern speech to text systems generally handle typical phone call audio quite well, including most common accents.

See speech to text working on a live call.

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