Patent · US Active

Communication issue detection using evaluation of multiple machine learning models

US11769520B2 · kind B2 · utility

0Cited by
5References
20Claims
0Family size

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Key dates

Filing dateAug 17, 2020
Grant dateSep 26, 2023
Priority date
Expiry dateSep 8, 2040

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG10L2015/088
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

Techniques are provided for evaluating multiple machine learning models to identify issues with a communication. One method comprises applying an audio signal associated with a communication to at least two of: (i) a trigger word analysis module that evaluates contextual information to determine if a trigger word is detected in the audio signal; (ii) an audio activity pattern analysis module that determines if a silence pattern anomaly is detected; and (iii) a communication application analysis module that evaluates features provided by a communication application relative to applicable thresholds; and combining results of the at least two of the trigger word analysis module, the audio activity pattern analysis module and the communication application analysis module to identify a communication issue. The combining may evaluate an accuracy of the trigger word analysis module, the audio activity pattern analysis module and/or the communication application analysis module to combine the results.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.