Audio-based machine learning frameworks utilizing similarity determination machine learning models
US11736610B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 28, 2021 |
| Grant date | Aug 22, 2023 |
| Priority date | — |
| Expiry date | Nov 24, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/26
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
There is a need for faster and more accurate predictive data analysis steps/operations. This need can be addressed by, for example, techniques for efficient predictive data analysis steps/operations. In one example, a computer-implemented method for generating a predictive output with respect to a primary audio data embedding data object associated with a primary audio data object, is provided. The method includes generating, using one or more computer processors, by utilizing a similarity determination machine learning model and based at least in part on the primary audio data embedding data object, the predictive output for the primary audio data embedding data object; generating, by the one or more computer processors, a forwarding recommendation prediction based at least in part on the predictive output; and performing, by the one or more computer processors, one or more prediction-based actions based at least in part on the forwarding recommendation prediction.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.