Method and apparatus of training acoustic feature extracting model, device and computer storage medium
US10943582B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 14, 2018 |
| Grant date | Mar 9, 2021 |
| Priority date | — |
| Expiry date | Jan 24, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/063
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and apparatus of training an acoustic feature extracting model, a device and a computer storage medium. The method comprises: considering a first acoustic feature extracted respectively from speech data corresponding to user identifiers as training data; training an initial model based on a deep neural network based on a criterion of a minimum classification error, until a preset first stop condition is reached; using a triplet loss layer to replace a Softmax layer in the initial model to constitute an acoustic feature extracting model, and continuing to train the acoustic feature extracting model until a preset second stop condition is reached, the acoustic feature extracting model being used to output a second acoustic feature of the speech data; wherein the triplet loss layer is used to maximize similarity between the second acoustic features of the same user, and minimize similarity between the second acoustic features of different users.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.