Source signal separation by discriminatively-trained non-negative matrix factorization
US9679559B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 29, 2014 |
| Grant date | Jun 13, 2017 |
| Priority date | — |
| Expiry date | May 29, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L21/0232
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method estimates source signals from a mixture of source signals by first training an analysis model and a reconstruction model using training data. The analysis model is applied to the mixture of source signals to obtain an analysis representation of the mixture of source signals, and the reconstruction model is applied to the analysis representation to obtain an estimate of the source signals, wherein the analysis model utilizes an analysis linear basis representation, and the reconstruction model utilizes a reconstruction linear basis representation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.