A 2022 guide to synthetic media

A 2022 guide to synthetic media

Artificial neural networks or deep learning are quickly altering the production of online digital material. Deep learning-generated / synthetic media— commonly referred to as “deepfakes”—have several amazing properties; they are becoming simple to produce and maybe indistinct from actual sounds and pictures captured with a sensing element.

Synthetic media is an interesting rapidly evolving field that has made significant advances in recent years. This industry is expected to grow and dramatically transform the way we generate and experience media content. 

In this post, we will tell you about all sorts of synthetic media and see what is going to run in 2022. Then we’ll dig further into simulated or synthetic video, covering its uses and a discussion on the latest technology that has changed the field.

Deep Fakes are among the most unusual occurrences in the realm of synthetic media in the last five years. Many people are stunned by this technology, yet others have discovered how to use it productively. It’s time to find out how high-quality media is produced and why they’re so important today. 

AI-generated or Machine learning content is known as synthetic media. Earlier people relied on broadcasting platforms (radio and social networking sites) to develop and spread content. 

However, this technique of spreading content came with some limitations, and many were alleviated by the rise of social platforms.

But today, content makers may now generate high-quality content with synthetic media that was earlier exclusively accessible to big studios with huge budgets.

AI content is less expensive and more easily scaled. This new tendency, however, presents several ethical considerations. They all ultimately come down to one fundamental issue: how to differentiate AI-generated material from real content? In response to this question and to avoid the spread of fake information the tech community and the legislators develop appropriate regulations for media companies and digital content creators of all sectors so that the community can get an original, easy to understand, personalized media using this technology. 

In general, synthetic media involves voice clones or voice synthesis, visual synthesis, audio/music synthesis, and many more. These approaches provide content makers with far greater freedom and the possibility of cost savings.


The Synthetic Media Environment provides useful details about the company and why it is referred to as “the next evolutionary stage of media.” Earlier in the day, broadcasting facilitated the mass circulation of information.

Nowadays, democratized media distribution makes it simple for anybody to obtain information via social media. We will soon get more involved in synthetic media, which will democratize media creation and innovation.

What does 2022 have in store for synthetic media?

Synthetic videos

We will see quickly improved alternatives inside synthetic media technologies, and I believe this will result in better content.

It all starts with synthetic videos which give higher-quality avatars or digital beings. Furthermore, there are more unique elements accessible, such as gender and ethnicity, as well as in-built human components such as accents and facial emotions.

Many businesses demand the ability to expand specialized content across several countries to reach varied customers and markets. The use of AI voice dubbing and avatars will allow creative media organizations to generate a single video in many languages without compromising quality. We’re already witnessing this in action, with businesses like Deepword employing AI to dub performers in numerous tongues while keeping their authentic voices.

There will be access to advanced dynamic landscapes available, as well as different camera angles and styles. It opens the door to significantly less monotonous material. The capacity to personalize movies with synthetic media techniques can assist marketers in capturing the consumer’s attention, allowing them to stand out in the vast ocean of digital content creations.

Synthetic images

Synthetic image or imaging is the method of creating two-dimensional visual images using computational mathematics and accumulated data instead of the more conventional photographic approach of focusing light waves using cameras or various optic equipment. Synthetic Imaging has become more important in research, geology, military, digital modeling, and other sectors by providing detailed and accurate visualizations of difficult physical elements.


Synthetic audio

Concatenative synthesizing, or synthetic audio consists primarily of locating and connecting phonetics (unique units of sound in a certain language) of audio recordings to make a synthesized speech. This is being used in the overwhelming of artificially produced speech. It essentially generates raw audio data of genuine speech that appears like a human speaking.


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With 3 Million Instagram followers, Lil Miquela is the world’s most popular virtual influencer. She shoots commercials for Calvin Klein & L’oreal, has featured in videos with actual celebs Bella Hadid and J Balvin, and also owns music videos. Lil Miquela is not real but a fictional character. 


What is the technology behind deepfakes?

DeepFakes have no official or seminal articles because they have never come from any lab. However, here’s a description of the technology. Consider the well-known Jennifer Buscemi example. Let’s pretend we have videos of both Jennifer Lawrence and Steve Buscemi. We’d want to superimpose Steve Buscemi’s visage (Face B) on Jennifer Lawrence’s face (Face A). Both of them have their own auto-encoder.

Both autoencoders are trained independently; they retain the same encoder but have their unique separate decoders. The general/ common encoder is learned from both faces, while the Decoder of Face A is learned exclusively with faces from Face A, and the Decoder of Face B is learned only with faces from Face B.

To generate a DeepFake with Steve Buscemi’s face (face B) on Jennifer Lawrence’s face (face A), we now input a video with Jennifer Lawrence into the encoder and, instead of attempting to rebuild her face from the encoding, we pass it to Decoder B to recreate Steve Buscemi’s face. As a consequence, a video depicting Steve Buscemi’s face on Jennifer Lawrence was created.


Why should you consider synthetic media?

The answer to this question is that synthetic media is the future. This and the next decade will witness a tremendous increase in the use of synthetic media in our everyday lives. Fundamental changes will be brought about by synthetic media mainly media content creation and other verification fields. You may be wondering how this is possible. Synthetic media will greatly increase innovation by closing the gap between concept and content. It will welcome new modes of communication and narrative. It will also democratize content creation, allowing us to capitalize on human creativity. 

The ability to visually interpret predefined surfaces, texturing, forms, patterns, motions, and much more than otherwise never be properly observed in “actual” pictures, is the primary benefit of Synthetic Imaging

Deepword’s concept for synthetic media in the future

We believe that synthetic media will permanently alter the way audio/ visual material is created and consumed, opening up an array of potential for all companies participating in content development.

Deepword assists content producers in using AI-based content in ways where they can create audio and video content more readily and personalized or have greater creative control over their work. You can connect to Deepword if you are willing to incorporate synthetic media in your business. 

Deepword is dedicated to adhering to a stringent code of ethics to ensure that Synthesized videos/audios are not utilized unethically.

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