Introducing AI Speech Detector: Identify voice clones at scale

Capitalizing on our AI music detection groundbreaking technology, which is already seeing massive adoption, we’ve pushed the boundaries further to address a new challenge: AI-generated voice clones. While many tools claim to detect deepfakes, our AI Speech Detector takes an innovative, robust approach. Built on IRCAM-Centre Pompidou's decades of audio signal research and cutting-edge machine learning, our technology stands apart. This deepfake audio detector is designed specifically for media groups, newsrooms, and misinformation detection platforms, empowering them to maintain integrity in their reporting, while also empowering the general public to recognize what's true and what's not.

By leveraging audio signal expertise (inherited from IRCAM-Centre Pompidou lab decades of audio and sound research) and machine learning, we built a technology robust enough as to identify defects that each voice generator inevitably produces and thus name it.

Deepfake audio stakes are culminating

With deepfakes on the rise, traditional verification methods are being tested like never before. Media organizations are facing new challenges in ensuring the content they distribute is genuine. Standard tools such as checking sources or cross-referencing reports are no longer enough. AI-generated audio is highly convincing and poses a direct threat to media credibility.

The public is already skeptical due to the influx of misinformation, and deepfakes further erode trust. Inaccurate reporting—whether intentional or not—can lead to widespread manipulation of public opinion, jeopardizing the foundations of journalism. To combat these threats, newsrooms need more sophisticated tools to verify the authenticity of the content they share.

Key Features and Benefits

• Comprehensive coverage: Our AI Speech Detector is designed to recognize voice clones from 10 of the most popular voice generation models, spanning both consumer-grade tools and open-source solutions. This wide coverage ensures you can detect fraudulent audio from a diverse range of synthetic sources.
• Manipulated audio resilience: Even when audio is altered with distortions, added noise, reverb, or frequency modifications, our tool can identify synthetic voices. This level of resilience ensures the detector is effective in real-world scenarios where audio is frequently manipulated.
• Flexible detection: The AI Speech Detector is both language and channel agnostic, meaning it can work across different languages and media platforms without issue. This makes it an ideal solution for global media organizations and multi-channel platforms, allowing seamless integration into diverse workflows.
• Extreme accuracy: With a remarkable 98% detection accuracy, our technology provides top-tier reliability. Whether working with clean or noisy audio inputs, you can trust the AI Speech Detector to identify deepfakes with unmatched precision.

Our deepfake audio detector is more than just another tool in the fight against misinformation. With decades of audio expertise and a unique machine learning-driven approach, Ircam Amplify delivers a solution that is as precise as it is powerful. In a world where media credibility is constantly under attack, ensuring the integrity of your audio content is a no-brainer. Our tool is the key to preserving your reputation and maintaining the trust of your audience.

Eliminate deepfakes from day one

Take the first step toward safeguarding your media integrity and protecting your audience’s trust. Explore the full range of features and see how our AI Speech Detector can be a game-changer for your organization.

👉 Explore AI Speech Detector