Neuralecho: a self-attentive recurrent neural network for unified acoustic echo suppression, speaker aware speech enhancement and automatic gain control
US12321188B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 17, 2023 |
| Grant date | Jun 3, 2025 |
| Priority date | — |
| Expiry date | Nov 17, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04M9/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of acoustic echo suppression using a recurrent neural network, performed by at least one processor, is provided. The method includes receiving a microphone signal and a far-end reference signal, estimating an echo suppressed signal and an echo signal based on the microphone signal and the far-end reference signal, estimating enhancement filters for the microphone signal based on the echo suppressed signal and the echo signal, generating an enhanced signal based on the enhancement filters, and adjusting the enhanced signal using automatic gain control (AGC) and outputting the adjusted signal.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.