Text-to-speech has become one of the most sought-after technologies in recent years, with applications ranging from education to content creation and marketing. While basic text-to-speech ...

The new UCL study, published last week in the journal PLOS One, used a text-to-speech algorithm trained on two publicly available datasets to create 50 deepfake speech samples in English and Mandarin.

Neural text-to-speech algorithms, on the other hand, take in text, pump them through the same kinds of algorithms, but now instead of spitting out text, they’re spitting out sound, Hamilton says.

Researchers at UCL used a text-to-speech (TTS) algorithm trained on two publicly available datasets, one in English and one in Mandarin, to generate 50 deepfake speech samples in each language.