Scribd Deepfake Detection

Elevate the security and integrity of your Scribd content library with Resemble AI's cutting-edge deepfake detection technology, PerTh and Detect.

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Protect your Content on Scribd with AI Watermarking

Misinformation Proliferation

Deepfake technology raises ethical concerns regarding its misuse in content creation. PerTh acts as an ethical safeguard, discouraging unethical practices by clearly marking content as original, promoting responsible AI usage, and mitigating potential harm.

Identity Fraud & AI Misuse

Malicious actors may use deepfake AI voices to craft deceptive audio content on Scribd, potentially perpetrating scams or spreading fraudulent information. PerTh's watermarking adds an additional layer of trust to the audio content, making it more difficult for scammers to deceive users.

Content Library Contamination

Deepfake technology can manipulate voices to impersonate individuals, posing significant data privacy risks. PerTh safeguards voice data privacy by watermarking the content, protecting the identities of individuals and maintaining the integrity of audio data within Scribd.

Data Privacy Concerns

Deepfake technology can be misused to create audio content that mimics copyrighted material, leading to potential copyright infringement. PerTh counters this threat by watermarking original audio content within Scribd's library, ensuring that ownership is clearly established and deterring the unauthorized use of copyrighted material.

Watermark your Data

4 Way to Protect your Scribd Content with Resemble AI

Voice Analysis

Resemble Detect scrutinizes the audio data in Scribd's content, leveraging AI to detect anomalies or inconsistencies that may indicate the presence of deepfake voices, preserving the authenticity of the platform's audio content.

Integration

Resemble Detect seamlessly integrates with Scribd's content management systems, offering a comprehensive solution to protect against deepfake technology, maintain the integrity of the platform's audio content, and enhance user trust.

Real-time Detection

Resemble Detect employs advanced deepfake detection algorithms to continuously scan and monitor audio content on Scribd, swiftly identifying and flagging potential deepfake threats.

Machine Learning

Resemble Detect utilizes machine learning to adapt and enhance its detection capabilities, staying ahead of emerging deepfake techniques and ensuring the security of Scribd's audio library.

Integrate Detect

More FAQs

What is Resemble Detect and how does it help in identifying deepfake audio?

Resemble Detect is a state-of-the-art neural model designed to expose deepfake audio in real-time. It works across all types of media, and against all modern state-of-the-art speech synthesis solutions. By analyzing audio frame-by-frame, it can accurately identify and flag any artificially generated or modified audio content. Read more here, https://www.resemble.ai/detect-deepfake-detector/.

What is Deepfake Technology?

Deepfake technology employs machine learning algorithms to manipulate or synthesize visual and audio content to create realistic but fake videos or audio recordings. The technology superimposes one person’s face onto another’s body in videos or replicates someone’s voice in audio recordings with incredible accuracy, often leading to convincing and deceptive results. Deepfake technology can be misused to spread misinformation, create fake celebrity videos, and generate fraudulent content.

Can Resemble Detect help protect my Intellectual Property?

Yes, Resemble AI offers an AI Watermarker to protect your data from being used by unauthorized AI models. By watermarking your data, you can verify if an AI model used your data during its training phase.

How does Resemble AI's watermarker persist through model training?

Resemble AI’s watermarker is designed to endure throughout the model training process. This means that the watermark, or the unique identifier, remains intact even after the data has undergone various transformations during training. Read more here, https://www.resemble.ai/neural-speech-watermarker-update.

How does Resemble AI's technology contribute to content creation?

Resemble AI’s generative AI Voices are production-ready and offer a revolutionary way to create content. Whether it’s creating unique real-time conversational agents, translating a voice into multiple languages, or generating thousands of dynamic personalized messages, Resemble AI is altering the content creation landscape. It adds a new level of authenticity and immersion to your content, enhancing audience engagement and overall quality. Find examples of content creation powered by Resemble’s AI voice generator below.

How Hollywood Studios Are Dabbling in Generative Voice AI

How Resemble AI Created Andy Warhol Docu-series Narration Using 3 Minutes of Original Voice Recordings

How is Resemble Detect trained to identify deepfake audio?

Resemble Detect uses a sophisticated deep neural network that is trained to distinguish real audio from spoofed versions. It analyzes audio frame-by-frame, ensuring any amount of inserted or altered audio can be accurately detected. Read more here, https://www.resemble.ai/detect-deepfake-detector/.

How does Resemble AI utilize psychoacoustics in their technology?

Psychoacoustics, the study of human sound perception, plays a significant role in Resemble AI’s technology. By understanding that human sensitivity varies with different frequencies, the technology can embed more information into frequencies we are less sensitive to. Additionally, it utilizes a phenomenon called “auditory masking” where quieter sounds in frequency and time to a louder sound are not perceived, thereby allowing data to be encoded beneath such ‘masking’ sounds. Read more here, https://www.resemble.ai/neural-speech-watermarker.

How does Resemble AI ensure data recovery rate in the presence of various "attacks"?

Resemble AI applies various regularization methods to the model training procedure to resist different types of attacks. Even after applying “attacks” like adding audible noise, time-stretching, time-shifting, re-encoding, and more, nearly 100% data recovery rate can be achieved.

Can I detect if my data was used in training other models with the help of Resemble AI's watermarker?

Absolutely. Because Resemble AI’s watermarker persists through model training, it can be used to identify if your data was used in training other AI models. This feature adds an extra layer of security and allows for better control and protection of your data.