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Voice cloningIEEE Spectrum
•80% Informative
U.S. Federal Trade Commission launched its Voice Cloning Challenge to combat audio deepfakes.
Contestants from both academia and industry were tasked with developing ideas to prevent, monitor, and evaluate voice cloning.
One of the winning entries, OriginStory , aims to validate a voice at the source.
Another entry, AI Detect , intends to use AI to catch AI-generated voices in real time.
AI Detect’s approach is promising, says Nauman Dawalatabad , a postdoctoral associate in the Spoken Language Systems group at MIT 's Computer Science and Artificial Intelligence Laboratory .
DeFake 's preventive strategy, which he likens to watermarking, is a good solution to protect consumers from fraud when their speech data is compromised.
VR Score
74
Informative language
69
Neutral language
65
Article tone
semi-formal
Language
English
Language complexity
63
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
19
Source diversity
13
Affiliate links
no affiliate links