The Borneo Post (Sabah)

Deep Voice can clone human voice in under four seconds

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SOFTWARE developed by Chinese technology giant Baidu can clone a human’s voice with under four seconds of training audio.

This has implicatio­ns for both trust and security in a wide range of computing tasks.

Baidu has been working on Deep Voice for over a year, and had already managed to reproduce speaker identities with about half an hour of training data. With new developmen­ts, it has lowered that time to 3.7 seconds.

A believable, if low-quality, false voice can now be produced from a only single sentence of speech. Of course, more training leads to higher-quality results, especially if there is more than one sample to learn from.

Baidu has uploaded an array of system demos to G it hub, showing the capabiliti­es of Deep Voice. These include voice cloning and various manipulati­ons, such as changing the voice from male to female or British to American.

While the company writes that ‘Voice cloning is expected to have significan­t applicatio­ns in the direction of personalis­ation in human-machine interfaces’, there are naturally concerns about identity theft.

Tom Harwood, CPO and co-founder at voice security solutions provider Aeriandi, said: “This technology is poised to transform personalis­ation in human-machine interfaces, but it raises serious concerns about voice biometric security systems. Soon, criminals will need just a few seconds of

Soon, criminals will need just a few seconds of someone’s voice to cheat a voice recognitio­n security system - voice biometric authentica­tion will be rendered useless. – Tom Harwood, CPO and co-founder at voice security solutions provider Aeriandi

someone’s voice to cheat a voice recognitio­n security system - voice biometric authentica­tion will be rendered useless.

“Organisati­ons need to be thinking now about how they can implement new technologi­es to ensure they stay ahead of the curve.”

 ??  ?? Baidu has been working on Deep Voice for over a year. — Baidu photo
Baidu has been working on Deep Voice for over a year. — Baidu photo

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