User:Willland/sandbox

[1]     https://journals.sagepub.com/doi/full/10.1177/2056305120903408 Concerns and controversies Experiences shape many of human's beliefs and feelings. The recognizable features of synthetic media lead to a more fluent engagement, which therefore increases the believability of the media while we process new information; this is called “metacognition experience”. Synthetic media comes in visual and auditory forms, which are considered “real-world material” above text. [1]

Potentials Uses Though synthetic media can be used to replicate anyone, it becomes more realistic with higher amounts of existing data. Existing footage and sound clips can be found in abundance for high profile individuals online, making it more simple to create high quality deepfake images, videos, and audio bits. [2] https://www.nisos.com/technical-blogs/rise_deepfake synthetic_audio_deepfakes https://www.nisos.com/technical-blogs/rise_synthetic_audio_deepfakes

Audio Synthetic audio is often used to deceive companies via phone calls by creating audio through soundwaves to sound exactly like the real voice of an employee. Creating synthetic audio requires many sources of the impersonated person’s real voice, making public figures an easy target as there is footage of them readily available across the internet. According to NISOS, there are three things a synthetic audio creator needs to face to create a realistic audio file: finding relevant existing files with uninterrupted speech, being able to create a situation that would sounds authentic and require no further action on the part of the creator, and being able to use a pathway that would avoid in-time conversation as the audio needs to be pre-made. Putting together this audio take an immense amount of time to get as close to perfection as possible with mannerisms and common speech of the subject. [2]

Audio Study Nisos, a cyber operating company, has used technology to study synthetic audio to see differences between real and fake audio and found that “through the use of Spectrum3d, an audio spectrogram, they were able to analyze voice waves and see how the fake audio replicated consistently strong sounds while natural audio followed the true wave lengths of the speakers voice”. The false audio was found to be deceptive with a lack of outside noises and the traditional robotic voice showing when the audio was played at different speeds. [2]