Learning-based distance estimation
US11222652B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 19, 2019 |
| Grant date | Jan 11, 2022 |
| Priority date | — |
| Expiry date | Sep 24, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04R2499/11
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A learning based system such as a deep neural network (DNN) is disclosed to estimate a distance from a device to a speech source. The deep learning system may estimate the distance of the speech source at each time frame based on speech signals received by a compact microphone array. Supervised deep learning may be used to learn the effect of the acoustic environment on the non-linear mapping between the speech signals and the distance using multi-channel training data. The deep learning system may estimate the direct speech component that contains information about the direct signal propagation from the speech source to the microphone array and the reverberant speech signal that contains the reverberation effect and noise. The deep learning system may extract signal characteristics of the direct signal component and the reverberant signal component and estimate the distance based on the extracted signal characteristics using the learned mapping.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.