Audio tweaked just 0.1% to fool speech recognition engines
The development of AI adversaries continues apace: a paper by Nicholas Carlini and David Wagner of the University of California Berkeley has explained off a technique to trick speech recognition by changing the source waveform by 0.1 per cent."