AI Clones Your Voice After Listening for 5 Seconds (2018) (google.github.io)

Article summary

A neural network-based system can generate speech audio in the voice of many different speakers, including those unseen during training, after listening to only a few seconds of reference speech. The system consists of three independently trained components: a speaker encoder network, a sequence-to-sequence synthesis network, and an auto-regressive WaveNet-based vocoder. This technology has the potential to be used for various applications, including text-to-speech synthesis and voice cloning. The system's ability to generate natural speech from speakers that were not seen during training is a significant achievement.

Main themes

• voice cloning
• text-to-speech synthesis
• AI applications
• speaker verification
• audio generation

What commenters say

• The technology has the potential to be used for both benign and malign applications, with some arguing that the latter outweigh the former.
• The ability to clone voices raises concerns about the security of voice-based authentication systems.
• Some commenters believe that this technology will lead to a greater skepticism of 'facts' and a more critical evaluation of information.
• Others argue that the widespread use of this technology will instead lead to a further splintering of viewpoints and a decrease in trust in institutions.
• The technology could have significant impacts on various industries, including entertainment and finance.
• There are potential legal grey areas surrounding the use of this technology, particularly with regards to personality rights and consent.
• Some see this technology as a potential tool for creative applications, such as game development and audio production.
• The potential for abuse of this technology is a major concern, with some arguing that it could be used to spread misinformation and manipulate public opinion.