Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2024/01/voice-cloning-with-very-short-samples.html
New research demonstrates voice cloning, in multiple languages, using samples ranging from one to twelve seconds.
Research paper.
Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2023/11/ftcs-voice-cloning-challenge.html
The Federal Trade Commission is running a competition “to foster breakthrough ideas on preventing, monitoring, and evaluating malicious voice cloning.”
Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2023/03/fooling-a-voice-authentication-system-with-an-ai-generated-voice.html
A reporter used an AI synthesis of his own voice to fool the voice authentication system for Lloyd’s Bank.
Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2022/03/hacking-alexa-through-alexas-speech.html
An Alexa can respond to voice commands it issues. This can be exploited:
The attack works by using the device’s speaker to issue voice commands. As long as the speech contains the device wake word (usually “Alexa” or “Echo”) followed by a permissible command, the Echo will carry it out, researchers from Royal Holloway University in London and Italy’s University of Catania found. Even when devices require verbal confirmation before executing sensitive commands, it’s trivial to bypass the measure by adding the word “yes” about six seconds after issuing the command. Attackers can also exploit what the researchers call the “FVV,” or full voice vulnerability, which allows Echos to make self-issued commands without temporarily reducing the device volume.
It does require proximate access, though, at least to set the attack up:
It requires only a few seconds of proximity to a vulnerable device while it’s turned on so an attacker can utter a voice command instructing it to pair with an attacker’s Bluetooth-enabled device. As long as the device remains within radio range of the Echo, the attacker will be able to issue commands.
Research paper.
Post Syndicated from Ashley Whittaker original https://www.raspberrypi.org/blog/raspberry-pi-swear-bear-keeps-your-potty-mouth-in-check/
Why use a regular swear jar to retrain your potty-mouthed brain when you can build a Swear Bear to help you instead?
Swear Bear listens to you. All the time. And Swear Bear can tell when a swear word is used. Swear Bear tells you off and saves all the swear words you said to the cloud to shame you. Swear Bear subscribes to the school of tough love.
The Google AIY kit allows you to build your own natural language recogniser. This page shows you how to assemble the Voice HAT from the kit, and it also includes the code you’ll need to make your project capable of speech-to-text AI.
To teach Swear Bear the art of profanity detection, Swear Bear creators 8 Bits and a Byte turned to the profanity check Python library. You can find the info to install and use the library on this page, as well as info on how it works and why it’s so accurate.
You’ll hear at this point in the video that Swear Bear says “Oh dear” when a swear word is used within earshot.
This project uses the the first version of Google’s AIY Voice Kit, which comes with a larger black AIY Voice HAT and is compatible with Raspberry Pi 3 Model B. The kit also includes a little Voice HAT microphone board.
Version 2 of the kit comprises the smaller Raspberry Pi Zero WH and a slimmer ‘Voice Bonnet’.
The microphone allows Swear Bear to ‘hear’ your speech, and through its speakers it can then tell you off for swearing.
All of hardware is squeezed into the stuffing-free bear once the text-to-speech and profanity detection software is working.
8 Bits and a Byte fan Ben Scarboro took to the comments on YouTube to suggest they rework one of our Babbage Bears into a Swear Bear. Babbage is teeny tiny, so maybe you would need to fashion a giant version to accomplish this. Just don’t make us watch while you pull out its stuffing.
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