End-to-end deep neural network for auditory attention decoding
US11630513B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 19, 2019 |
| Grant date | Apr 18, 2023 |
| Priority date | — |
| Expiry date | Sep 21, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04R2420/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In one aspect of the present disclosure, method includes: receiving neural data responsive to a listener's auditory attention; receiving an acoustic signal responsive to a plurality of acoustic sources; for each of the plurality of acoustic sources: generating, from the received acoustic signal, audio data comprising one or more features of the acoustic source, forming combined data representative of the neural data and the audio data, and providing the combined data to a classification network configured to calculate a similarity score between the neural data and the acoustic source using one or more similarity metrics; and using the similarity scores calculated for each of the acoustic sources to identify, from the plurality of acoustic sources, an acoustic source associated with the listener's auditory attention.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.