Training machine learning frameworks to generate studio-quality recordings through manipulation of noisy audio signals
US12431154B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 13, 2023 |
| Grant date | Sep 30, 2025 |
| Priority date | — |
| Expiry date | Nov 6, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L17/26
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Introduced here are computer programs and associated computer-implemented techniques for manipulating noisy audio signals to produce clean audio signals that are sufficiently high quality so as to be largely, if not entirely, indistinguishable from “rich” recordings generated by recording studios. When a noisy audio signal is obtained by a media production platform, the noisy audio signal can be manipulated to sound as if recording occurred with sophisticated equipment in a soundproof environment. Manipulation can be performed by a model that, when applied to the noisy audio signal, can manipulate its characteristics so as to emulate the characteristics of clean audio signals that are learned through training.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.