Convolutional neural network with phonetic attention for speaker verification
US11276410B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 13, 2019 |
| Grant date | Mar 15, 2022 |
| Priority date | — |
| Expiry date | Sep 7, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L17/14
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments may include reception of a plurality of speech frames, determination of a multi-dimensional acoustic feature associated with each of the plurality of speech frames, determination of a plurality of multi-dimensional phonetic features, each of the plurality of multi-dimensional phonetic features determined based on a respective one of the plurality of speech frames, generation of a plurality of two-dimensional feature maps based on the phonetic features, input of the feature maps and the plurality of acoustic features to a convolutional neural network, the convolutional neural network to generate a plurality of speaker embeddings based on the plurality of feature maps and the plurality of acoustic features, aggregation of the plurality of speaker embeddings into a first speaker embedding based on respective weights determined for each of the plurality of speaker embeddings, and determination of a speaker associated with the plurality of speech frames based on the first speaker embedding.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.