Cfapfake

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Cfapfake

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English and Mandarin speakers found to have the same level of accuracy when detecting artificially generated speech. Researchers at University College London used a text-to-speech algorithm trained on two publicly available datasets, one in English and the other in Mandarin, to generate 50 deepfake speech samples in each language. The sound samples were played for participants to see whether they could detect the real sample from fake speech. This number improved slightly after participants received training to recognise aspects of deepfake speech. The study is the first to assess human ability to detect artificially generated speech in a language other than English.

Cfapfake

Computers have been getting increasingly better at simulating reality. Media generated by artificial intelligence AI has been making serious headlines — especially videos designed to mimic someone, making it appear as though they're saying or doing something they aren't. A Twitch streamer was caught on a website known for making AI-generated pornography of his peers. A group of New York students made a video of their principal saying racist remarks and threatening students. In Venezuela, generated videos are being used to disseminate political propaganda. In all three cases, AI-generated video was made with the goal of convincing you that someone did something they never actually did. There's a word for this kind of content: Deepfakes. Deepfakes use AI to generate completely new video or audio, with the end goal of portraying something that didn't actually occur in reality. The term "deepfake" comes from the underlying technology — deep learning algorithms — which teach themselves to solve problems with large sets of data and can be used to create fake content of real people.

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