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Jury Testing for Machine Learning Applications

Jury Testing has been established as a key methodology for evaluation of perceived sound quality in industry and research. The approach of jury testing provides essential information in product benchmarking and identification of potential for improvement. Jury test data is nowadays essential in Machine Learning applications to train and validate predictive models.

This webinar covers typical questions and problems in jury testing campaigns. The HEAD acoustics consulting team will present examples from their practical experience from Machine Learning perspective.

Topics to be covered

  • Why Jury Testing? – Collecting data for scientific models and machine learning applications
  • Selection of sound stimuli, test environment and juror panel
  • Jury test methods and scale levels
  • Evaluation of jury test results for Machine Learning applications
  • Consulting Services and Cooperation Opportunities

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