Generative audio refers to the creation of audio files from databases of audio clips.[citation needed] This technology differs from synthesized voices such as Apple's Siri or Amazon's Alexa, which use a collection of fragments that are stitched together on demand.
Generative audio works by using neural networks to learn the statistical properties of an audio source, then reproduces those properties.[1]
With this technology, a person's voice can be replicated to speak phrases that they may have never spoken. This could lead to a synthetic version of a public figure's voice being used against them.[2]
This method uses a generative adversarial network (GAN), a deep machine learning technique where two machine learning models work against each other to create realistic audio.[3]
