Training models using voice tags
US10163437B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 2, 2016 |
| Grant date | Dec 25, 2018 |
| Priority date | — |
| Expiry date | Jun 25, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for training machine-learning algorithms with the aid of voice tags are described herein. An environment may include sensors configured to generate sensor data and devices configured to perform operations. Sensor data as well as indications of actions performed by devices within the environment may be collected over time and analyzed to identify one or more patterns. Over time, a model that includes an association between this sensor data and device actions may be created and trained such that one or more device actions may be automatically initiated in response to identifying sensor data matching the sensor data of the model. To aid in the training, a user may utter a predefined voice tag each time she performs a particular sequence of actions, with the voice tag indicating to the system that temporally proximate sensor data and device-activity data should be used to train a particular model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.