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Glossary

Speech-to-text

Speech-to-text (STT) is technology that turns spoken words into text. In a contact center it powers AI voice agents, real-time suggested replies for agents, call transcripts, and speech analytics.

Why it mattersIt powers call search, speech analytics, and AI voice agents.

Also called: STT, automatic speech recognition, ASR, speech recognition, transcription

How it works

How it works

A neural network takes the audio and picks the most likely words. Recognition comes in two kinds. Streaming returns text while the person is still talking – AI voice agents and the agent's AI assistant cannot work without it. Batch processes calls that are already recorded – for speech analytics and search.

  • Streaming: text a fraction of a second after the words
  • Batch: transcripts of call recordings
  • Speaker separation: agent and customer on separate recording channels
  • Punctuation and numbers as digits, not words

Details

What affects accuracy

  • Audio quality: 8 kHz phone audio is harder to recognize than wideband
  • Background noise and people talking over each other
  • Accents, industry terms, and names of products, streets, and cities
  • How well the system knows English and whether you can add your own vocabulary
How it is measuredBy the share of wrongly recognized words (word error rate, WER). Test it on your own call recordings, not on demo samples.

Use

Where it is used

  • AI voice agents that understand normal speech
  • Suggested replies for agents during a call
  • Text search across all recorded calls
  • Speech analytics: topics, scripts, and emotions

In CONTACT.WORK

How it works in CONTACT.WORK

AI voice agents, the AI assistant, and speech analytics all need speech recognition. It is available both in the cloud and on your servers. The platform itself is free. Speech recognition is a separate paid service, or the model runs on your own GPU or a Mac mini.

The server calculator helps you pick the right hardware for running speech recognition on your own servers.

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