Noise mitigation using machine learning
US10446170B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 19, 2018 |
| Grant date | Oct 15, 2019 |
| Priority date | — |
| Expiry date | Jun 19, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04R2227/009
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This disclosure relates to solutions for eliminating undesired audio artifacts, such as background noises, on an audio channel. A process for implementing the technology can include receiving a set of audio segments, analyzing the segments using a first ML model to identify a first probability of unwanted background noises in the segments, and if the first probability exceeds a threshold, analyzing the segments using a second ML model to determine a second probability that the one or more background features exist in the segments. In some aspects, the process can include attenuating audio artifacts in the segments, if the second probability exceeds a second threshold. In some implementations, dynamic time stretching and shrinking can be applied to the noise attenuation. Systems and machine-readable media are also provided.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.