We talked to Jane Lytvynenko, senior reporter with Buzzfeed News, focusing on online mis- and disinformation about how big the synthetic media problem actually is. Jane has three practical tips for us on how to detect deepfakes and how to handle disinformation.
Digger Deepfake Detection
The Digger project aims to use both visual verification and audio forensic technologies to detect both shallow fakes as well as deepfakes or synthetic media as we call it..
Shallowfakes are manipulated audiovisual content (image, audio, video) generated with ‘low tech’ technologies like Cut & Paste or speed adjustments which, often taken out of context, is extremely convincing.
Deepfakes / Synthetic Media are artificial audiovisual content (image, audio, video) generated with technologies like Machine Learning which is extremely realistic.
Expressive voice synthesis with rhythm and pitch transfer. Mellotron managed to let a person sing, without ever recording his/her voice performing any song. Interested? Here is more…
Deepfakes have the potential to seriously harm people’s lives and to deter people’s trust in democratic institutions. They also continue to make the headlines. How dangerous are they really?
Here is what we think are the most relevant upcoming audio-related conferences. And which sessions you should attend at the ICASSP 2020.
What is the difference between a ‘face swap’, a ‘speedup’ or even a ‘frame reshuffling’ in a video? At the end of the day they all are manipulations of video content. We want to...
Rules are in place to prevent the spread of the Coronavirus. One of them is called “social distancing” which helps to stop the transmission of Covid-19. What are the rules concerning Coronavirus information online?
The team working on the Digger Project consists of Fraunhofer IDMT (audio forensics technology), Athens Technology Center (product development) and Deutsche Welle (project lead and concept development). The project is co-funded by Google DNI.
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