Generative audio

Generative audio refers the creation of audio files from huge databases of audio clips. Creating phrases and sentences that may have never been actually spoken. The technology differs from AI voices such as the Apple Siri and the Amazon Alexa as those use a collection of fragments that are stitched together, on demand. 
"Generative audio works differently, using neural networks to learn the statistical properties of the audio source in question, then reproducing those properties directly in any context, modelling how speech changes not just second-by-second, but millisecond-by-millisecond."
Implications.
With this technology, phrases can be put together whereas the voice owner may never have spoken. For instance, statements can be made with a public figure's voice that and used against them. Imagine the voice of the United States President declaring war on a country without."When a natural source such as a human voice or a musical instrument produces a sound, the resulting acoustic wave is generated by a time-varying excitation pattern of a possibly time-varying channel, and the sound characteristics depend both on the excitation signal and on the production system."
Technology.
This method uses generative adversarial network (GAN), a deep machine learning technique where computers work against each other to create a more "believable" image or soon, pieces of audio. "...algorithms were able to produce speech that occasionally sounded perceptually similar to the target speaker but work remains to be done."