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Testing voice apps like you test code

Voice features break quietly. A practical setup for catching regressions before your users do.

Text features fail loudly: a broken page is easy to spot. Voice features fail quietly. A mispronounced name or a new awkward pause ships, and nobody notices until a customer complains.

Keep a golden set

Collect fifty lines that matter: your greeting, product names, numbers, an apology. Render them on every release and keep the audio.

Compare, do not just listen

Nobody can listen to fifty clips on every pull request. Compare new renders against the golden set automatically and only flag the ones that changed noticeably.

Test the words, not just the sound

Run each render back through speech recognition and compare the transcript to the script. If the words drift, something broke.

Put it in CI

  • Render the golden set with the same voice and settings as production
  • Fail the build if transcripts stop matching
  • Post changed clips to the pull request so a human can listen to just those

Listen anyway, once a week

Automation catches regressions. It does not catch a voice that is technically correct but slowly getting duller. Fifteen minutes of listening every Friday does.

Voice is part of your interface now. Test it like the rest of it.

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