Communication issue detection using evaluation of multiple machine learning models
US11769520B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 17, 2020 |
| Grant date | Sep 26, 2023 |
| Priority date | — |
| Expiry date | Sep 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.