System and method for robust wakeword detection in presence of noise in new unseen environments without additional data
US12087280B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 4, 2022 |
| Grant date | Sep 10, 2024 |
| Priority date | — |
| Expiry date | Dec 29, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/088
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The current disclosure relates to systems and methods for wakeword or keyword detection in Virtual Personal Assistants (VPAs). In particular, systems and methods are provided for wakeword detection using deep neural networks including a parametric pooling layer, wherein the parametric pooling layer includes trainable parameters, enabling the layer to learn to distinguish between informative feature vectors and non-informative/noisy feature vectors extracted from a variable length acoustic signal. In one example, a parametric pooling layer may aggregate a variable length feature map, comprising a plurality of feature vectors extracted from an acoustic signal, into an embedding vector of pre-determined length, by weighting each of the plurality of feature vectors based on one or more learned parameters in a parametric pooling layer, and aggregating the plurality of weighted feature vectors into the embedding vector.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.