Descript, Inc. (20250061915). UPSAMPLING OF AUDIO USING GENERATIVE ADVERSARIAL NETWORKS
Contents
UPSAMPLING OF AUDIO USING GENERATIVE ADVERSARIAL NETWORKS
Organization Name
Inventor(s)
Rithesh Kumar of Montreal (CA)
UPSAMPLING OF AUDIO USING GENERATIVE ADVERSARIAL NETWORKS
This abstract first appeared for US patent application 20250061915 titled 'UPSAMPLING OF AUDIO USING GENERATIVE ADVERSARIAL NETWORKS
Original Abstract Submitted
introduced here are approaches to training and then employing computer-implemented models designed to upsample discrete audio signals to higher sampling rates. assume, for example, that a media production platform obtains a first discrete signal at a relatively low sampling rate. the relatively low sampling frequency may make the first discrete audio signal unsuitable for inclusion in media compilations, so the media production platform may attempt to improve its quality through upsampling. to accomplish this, the media production platform can apply a transform to the first discrete signal to produce a first magnitude spectrogram. then, the media production platform can apply a computer-implemented model to the first magnitude spectrogram to produce a second magnitude spectrogram. thereafter, the media production platform can apply an inverse transform to the second magnitude spectrogram to create a second discrete signal that has a higher sampling rate than the first discrete audio signal.
