AI-generated audio that mimics humans can be so convincing that people can't tell the difference a quarter of the time – even when they're trained to identify faked voices, a new study claims.

Imagine the following scenario: A phone rings, an office worker answers it and hears his boss, in a panic, tell him that she forgot to transfer money to the new contractor before she left for the day ...

Artificial intelligence is supercharging audio deepfakes, with alarm bells ringing in areas from politics to financial fraud. The stakes are high. Detection software getting it wrong can carry serious ...

As AI Music Tools Proliferate, Detection Technologies and Industry Responses EvolveThe music industry faces an unprecedented ...

Fake and misleading content created by artificial intelligence has rapidly gone from a theoretical threat to a startling reality. The technology to produce a convincing audio recording of a person ...

Sound can be represented with both analog or digital audio signals. Analog audio signals use electrical voltage levels. Different types of transducers convert sound to electrical signals and ...

Imagine the following scenario. A phone rings. An office worker answers it and hears his boss, in a panic, tell him that she forgot to transfer money to the new contractor before she left for the day ...

Artificial intelligence is supercharging audio deepfakes, with alarm bells ringing in areas from politics to financial fraud. The federal government has banned robocalls using voices generated by AI ...

Now that people can easily create real-sounding voices with artificial intelligence, detection technologies are racing to catch deepfake audio,... Using AI to detect AI-generated deepfakes can work ...