Automatic speech-based longitudinal emotion and mood recognition for mental health treatment
US11545173B2 · kind B2 · utility
2Cited by
2References
20Claims
0Family size
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Key dates
| Filing date | Aug 30, 2019 |
| Grant date | Jan 3, 2023 |
| Priority date | — |
| Expiry date | Aug 12, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L17/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of predicting a mood state of a user may include recording an audio sample via a microphone of a mobile computing device of the user based on the occurrence of an event, extracting a set of acoustic features from the audio sample, generating one or more emotion values by analyzing the set of acoustic features using a trained machine learning model, and determining the mood state of the user, based on the one or more emotion values. In some embodiments, the audio sample may be ambient audio recorded periodically, and/or call data of the user recorded during clinical calls or personal calls.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.