Imagine you’re scrolling through Instagram Reels. Suddenly you watch Donald Trump playing chess with Vladimir Putin. The next moment you watch Serena Williams singing “Hold Me Closer” and Britney Spears playing tennis in “Wimbledon”. These are all nuisances that Generative AI like Deepfakes and Voice Synthesis are cooking in your mobile feeds.
An absolute crystal-clear picture of why Lucifer gifted the INTERNET to humans!
- Fake Joe Biden robocall telling people of New Hampshire not to vote.
- A politician named Laura McClure held up a doctored nude image of herself in the New Zealand parliament.
- An INDEPENDENT report narrated how Deepfake Voice scams are becoming the most hideous threat on the internet.
When mainstream media outlets are facing government censorship on every trivial broadcasting, there’s no check on deepfake nudity freely surfacing on the internet. Eventually, the traditional media is succumbing to the number game, losing visibility, trustworthiness, and psychological grip on audiences.
In this blog, we will get to know more about it. What exactly Deepfakes and Voice Synthesis are and how they can make the Titanic hit the iceberg on a digital medium?
2 Lethal GenAI Initiatives: Deepfakes and Voice Synthesis (Get the Technical Overview)
So, what is Deepfake?
It is a kind of synthetic media element that encapsulates fake images, videos, and voices. Ideally, a central character is shown doing or saying something that he/ she has never ever done or said.
Deepfake is a Generative AI that uses deep learning algorithms to create fake experiences and visuals.
But let us understand how Deepfake technology works.
The Generative Adversarial Networks or the Machine Learning model works in three stages over here.
- Data Collection: The AI algorithm is trained on millions of images and voice samples of the subject
- Training Models: The deep learning algorithm works on facial expressions, voice elements, gestures, and postures of the subject.
- Content Generation: The final stage involves the creation of realistic imitations with captured faces, voices, and expressions.
So, there are 3 fundamental Deepfake categories:
- Image Deepfakes: Crafting photos and still images of people and visuals that already exist.
- Audio Deepfakes: Mimicking someone’s voice to create a conversation or statement that never took place.
- Video Deepfakes: Skillfully replacing the subject’s face in a video with a deep deep-learning algorithm.
Now let’s learn how voice synthesis works.
- Data Accumulation: The AI algorithm collects the voice sample of the subject.
- Phoneme Mapping: AI converts the texts into basic phonemes.
- Voice Modulation: A deep learning algorithm mimics the speech pattern, voice essence, and emotions to create pitch, pause, quality, and intonations.
- Speech Generation: AI produces the voice of the subject completely aligned with the given text.
Types of voice synthesis with AI are:
- TTS or Text-to-Speech Synthesis: Text-to-speech conversion with deep learning algorithms.
- Voice Cloning: Advanced AI algorithm replicates the subject’s voice with the same tone, pattern, and intent.
- STS or Speech-to-Speech Synthesis: Existing audio is converted into the subject’s voice.
- Neural Voice Synthesis: With neural voice synthesis, the non-human voice is toned into the human voice.
- Emotional Voice Synthesis: This synthesizes the subject’s voice with emotional flavors including joy, anger, grief, ecstasy, and so on.
How Social Media Platforms Use Synthetic Media as a PR Machinery?
Whether you agree or not, Deepfake and voice synthesis are instrumental to PR mechanisms in today’s social media era. Although this branch of AI tampers with the ethics and virtues of humans, marketing is a war with no concrete righteousness.
A few initiatives of deepfake and voice synthesis inculcation in the PR circle are:
Crafting Narratives
If I have the power to make you do what you haven’t done and make you say what you never said, I am the Game-Changer! The very same facilitation is used to craft stories and narratives, either FOR or AGAINST a social personality.
Imagine your favorite NBA player morphed into a porn video. The same video surfacing across millions of mobile screens will foster a categorical notion against the subject. Posting 2-3 more fake content will drive a flood of negativity against the person. This is what we call CRAFTING NARRATIVES on Social Media.
Virtual Influencers
Just post a Deepfake video of you holding a guitar and singing a song with a scale higher than Shawn Mendes. Now you are a famous influencer on Instagram with 100 million followers. You can sell products, hire people, give services, preach doctrines, and influence target audiences.
These are called Virtual Influencers. Virtual influencing is pretty synonymous with lifestyle marketing where you exhibit yourself as a rich, successful, and talented individual by your means.
Crisis Management
Today, no one is immune to a public explosion on the internet. A single bite from a pop star can get him/her behind the bars. Deepfake videos offer great aid in handling such crises. A fabricated video building a positive perception for the subject will dilute the negative wave. To handle the potential crisis most efficiently, Deepfakes & Voice Synthesis works best.
AI-generated PR crisis management is not only for celebrities but also for growing market brands who tripped in the walk of manipulation game.
Shaping Political Backdrop
Gone are the days when political parties would drop hard copies of election manifestos across the entire campaign. Today they are focused on targeting the opposition with deepfakes and morphed videos.
If the Prime Minister of the biggest democracy could be defamed with deepfake content and voice synthesis, the other possibilities in the political arena are infinite.
Deepfakes & Voice Synthesis: Cultivating Havoc Against Mainstream Media
Other than the impact of Deepfake and Voice Synthesis content on social media, you must know how they are slaying the mainstream brands.
Distorting Public Trust
The deepfake videos are compelling the common man to lose trust in mainstream media. If not, the mainstream media-house clips are deepfakes to produce content that eventually serves the purpose. Especially after the lockdown phase, social media content, irrespective of being right or wrong, is invariably trusted. Meanwhile mainstream genre, despite being correct, is doubted & undermined.
Misconduct & Misinformation
The hyper-realistic content of deepfake technologies is amplifying false narratives, thus elevating the trustworthiness of misinformation and incorrect stories. The media have always been counted as the fourth pillar of democracy. Unfortunately, after the advancement of deepfake videos, the pillar seems to crumble a bit.
No Content Verification
As we discussed in the beginning, content verification on social networks is pretty close to null and void. Meanwhile, traditional media groups are going through an ocean of formalities and procedures. Here too, mainstream media is losing to deepfaked content.
Defamation & Negative PR
The core fundamental of media is to stay unbiased on any event, happenings, or figure. Despite traditional media adhering to ethics, deepfake videos are constantly shooting arrows at their authenticity.
Preserve Authentic Content Against Deepfake & Voice Synthesis
Information technology has always been the solution to every problem. Be it cybercrimes or online malicious threats, IT has a key to every lock.
Although, deepfake and voice synthesis are spearheading with magnanimous gravity, here are some quick-fix solutions we can offer you.
High-Level Technology Detection
Artificial Intelligence and Machine Learning algorithms are themselves a solution to threats like Deepfakes and voice synthesis. These advanced technologies can potentially identify minute audio inconsistencies, irregular facial expressions, patternless eye blinking, and inorganic hand movements.
Verification tools like Deepware Scanner and Microsoft Video Authenticato enable media houses to identify and verify content.
Multi-Model Surveillance
Blending multiple techniques for deepfake identification is far more productive than single-point detection. Using multiple layers for the detection of visuals, contexts, and audio is possibly more effective than single-layer filters.
Contextual analysis is also a part of multi-layer detection that plays a critical role in the backdrop. Also, the metadata and source verification will enable you to safeguard the legitimacy.
Authentication Standard
Setting up a standard threshold for media content verification will always sustain the authenticity. Digital signature, watermarking, and verifiable credentials are some of the quick-fix solutions. With verified credentials across media elements like videos, images, blogs, and articles; the content’s origin shall always be cocooned and ensured.
Verifiable AI
The integration of verifiable AI will make the process more seamless and transparent. With a verifiable AI system, the decision-making procedure becomes more comprehensive and auditable for business owners and stakeholders. This matrix also ensures that the deepfake identification gets operational without any transparency or bias.
Enforce Legal Action
A set of disciplinary guidelines and legal doctrines on Deepfakes and Voice synthesis will prevent risk issues and privacy concerns. For instance, the DEEP FAKES Accountability Act in the USA has been adopted to combat copyright issues, unauthorized portrayal, and deepfake methodologies to defame a subject.
C2PA’s Initiative: An Effort to Counter Deepfakes & Voice Synthesis
Global leaders like Microsoft, Arm, Intel, Truepic, and Adobe have collaborated to establish the “Coalition for Content Provenance and Authenticity (C2PA)” as a combat weapon against the spread of Deepfakes.
C2PA is an industry consortium that is dedicated to ensuring the authenticity of digital media. The key aim is to verify and safeguard the originality and integrity of the digital content through technical standards firmly embedded for source and history verification.
Guiding Principles for C2PA Designs and Specifications
Single-Point-Objective
The single-point objective of C2PA is to create a non-judgemental bridge between content producers and custodians in order to collect authentic provenance without any deformation and tampering.
User Bandwidth
C2PA should not limit user categories and cover a holistic bandwidth of users including content creators, content consumers, content publishers, implementors, and vendors.
Privacy
C2PA must ensure the privacy and security of all digital assets with cloud-accessibility, non-conforming removal, unbiased time filtering, easy digital signature, anonymous asset verification, and informed consent before capturing, storing, and recording content.
Global Accessibility
C2PA must come up with global accessibility without barring any cloud computing platform, internet services, mobile devices, developed & developing regions, and literal & digital literacy.
Interoperability
C2PA must successfully store and maintain all provenance, without any threat to the digital assets.
Aligned With Existing Workflows
C2PA specifications must support all existing formats, metadata standards, hosting strategies, and asset management.
Simplicity & Performance
The C2PA performance should extensively be viable to a variety of platforms including all cameras, hardware, mobile phones, server platforms, and IoT devices across all content categories including audio, video, and documents.
Misuse
C2PA specification must put strong surveillance on all abuse and potential misuse of the framework including possible abuse against human rights, vulnerable groups, minorities, and other similar leagues.
Summing Up: Choose TechGropse to Beat Deepfake & Voice Synthesis
To thrive in the era of Generative AI, that too without proper internet censorship, businesses need to practice ethical AI and deploy sophisticated technology to ensure their transparency.
At TechGropse, we appreciate and believe in the power that AI-based applications can deliver. Our mobile app development services come with additional protective measures against deepfake news manipulations.
We guide our clients during app creation with AI features to enhance media credibility and uphold the highest standards of morality.
As a top-notch AI company in usa, we design and build secure and robust applications that value innovative technologies and initiatives, but also uplift the ethics of the digital world.
FAQ
Deepfake and Voice Synthesis are Generative AI fake videos and voices, specially developed to craft narratives, spread false context, manipulate target audiences, and build brand image inorganically.
The content fostered with fake GenAI wings like Deepfake and Voice Synthesis eradicates the line between truth and fabrication. When it comes to southpaw media content, most of the narratives of deepfakes are contextually driven to the wrong side.
Yes. PR agencies are also using deepfake videos and voice synthesis content to shape the public viewpoint and perception. A hyper-personalized, targeted, and fake narrative driven by a strategic PR agency will certainly shoot an adrenaline rush to the target audience group.
Yes. The DEEP FAKES Accountability Act in the U.S. has been adopted to prevent the creation and posting of filthy Deepfake content.
Yes, advanced AI-based deepfake detection technologies like multi-modal analysis, machine learning, and biometric verification are there to identify deepfake videos.
Anup Kumar is a visionary Director of Technology specializing in Artificial Intelligence, bringing over a decade of experience in driving AI innovation, digital transformation, and business growth. With advanced expertise in machine learning, natural language processing, AI application development, and scalable AI infrastructure, he leads high-performing, cross-functional teams to deliver intelligent, enterprise-grade solutions. Anup has a strong track record of building and deploying impactful AI-powered applications, cultivating data-driven cultures, and aligning cutting-edge technology with strategic business objectives. Passionate about ethical AI and continuous innovation, he is committed to solving complex challenges and unlocking new opportunities across global markets.
