CypherMonkeyAI omni-channel lab

A lifelong-learner lab on AI omni-channel agents, including voice and the contact center. Free to read. Nothing sold.

Speech analytics and quality · L3 · 20 min

Pitfalls

Learn in five minutes

  • A fluent transcript can still have the wrong word. Check it against audio you are allowed to hear.
  • Wikipedia's sentiment page lists metaphor, differences in writing, and context as reasons a class can change.
  • Precision and recall, on the speech-analytics page, answer different questions. Report which one you computed.
  • A redaction that deletes the name and keeps a unique account number has not removed the identifier.
  • Do not paste a real customer's recording into this lab.

Each pitfall has a check you can do on a toy line. None of them is fixed by a more confident sentence.

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Visual

T10-R5 diagram

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Four checks

  1. Transcript: compare one word with the audio, or write 'no audio, no word-error claim.'
  2. Sentiment: write the context that could flip the label.
  3. Search: write whether you computed precision or recall.
  4. Redaction: search the line for a number you left behind.

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Quiz

What does a fluent transcript still need?

Fluency is not accuracy.

Which pair does the speech-analytics page treat as different measures?

The page defines them separately.

What recording may you paste into this lab?

The allowed corpus is text you may use.

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Ecosystem

Pitfall
A failure mode named by a source. It is not solved by a fluent sentence.

Sisters: Automatic speech recognition, Sentiment analysis, Quality rubrics, Personal data.

The live voice pipeline answers the person. Analytics reads a recording later. Keep those clocks apart.

A later review can add a rubric you wrote. It cannot borrow a customer's tape.

Config

  • Write the goal in one sentence.
  • Name the input and the allowed output.
  • Save the trace next to the result.

Troubleshooting

  • The answer looks fluent and is wrong. Check whether a source passage actually contains the claim.
  • The loop never stops. Set a step cap and stop when the tool result repeats.

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Sources and go deeper

sources.json