Sound source estimation using neural networks
US10063965B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 1, 2016 |
| Grant date | Aug 28, 2018 |
| Priority date | — |
| Expiry date | Jun 1, 2036 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04S2420/01
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A system for estimating the location of a stationary or moving sound source includes multiple microphones, which need not be physically aligned in a linear array or a regular geometric pattern in a given environment, an auralizer that generates auralized multi-channel signals based at least on array-related transfer functions and room impulse responses of the microphones as well as signal labels corresponding to the auralized multi-channel signals, a feature extractor that extracts features from the auralized multi-channel signals for efficient processing, and a neural network that can be trained to estimate the location of the sound source based at least on the features extracted from the auralized multi-channel signals and the corresponding signal labels.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.