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  • Wake Word Detection as Optimizing and Satisficing Example

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The proposed goal minimizes the _____ rate while constraining false positives.

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Updated 2026-07-20

Contributors are:

G
Gemini AI
🏆 2

Who are from:

G
Google
🏆 2

References


  • Machine Learning Yearning (Deeplearning.ai)

  • Machine Learning Yearning (Deeplearning.ai)

  • Machine Learning Yearning (Deeplearning.ai)

  • Machine Learning Yearning (Deeplearning.ai)

Tags

Machine Learning

Deep Learning

Supervised Learning

Dive into Deep Learning @ D2L

Data Science

Machine Learning Strategy

Machine Learning Yearning @ DeepLearning.AI

Related
  • Which performance goal correctly assigns the wake word system's optimizing and satisficing metrics?

  • Is a wake-up when nobody said the wake word a false positive?

  • The proposed goal minimizes the _____ rate while constraining false positives.

  • Match each wake word metric concept to its meaning or role.

  • Order the reasoning used to evaluate wake word detectors under the proposed goal.

  • Explain why the two wake word error rates have different roles in the proposed performance goal.

  • Decide which wake word detector should be chosen under the stated performance framework.

  • What two events do the wake word detector's false positive and false negative rates measure?

  • Which detector is eligible for optimization under the proposed false-positive constraint?

  • Can a detector with the lowest false negative rate still fail the proposed overall goal?

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