When Audio Evidence Can’t Be Trusted, JP French Turns to Resemble AI

After evaluating a number of approaches, JP French International partnered with Resemble AI to integrate deepfake detection into their forensic workflow. Our detection platform offered:

• Multimodal Detection: Scans voice recordings, video streams, and even images for signs of AI manipulation.

• Real-time Analysis: Identifies synthetic voice traces in both recorded evidence and live conversations.

• Proven Accuracy: Achieves up to 98% detection accuracy in real-world noisy environments, including phone calls and compressed recordings.

Resemble’s model works even when synthetic speech has been filtered, pitch-shifted, or compressed—a critical feature for forensic-grade validation.

With Resemble AI’s detection capabilities embedded into their toolset, JP French International has significantly accelerated their analysis pipeline. What used to take hours of manual phonetic comparison can now be validated in minutes using AI-powered detection.

• Increased throughput of cases without compromising on verification quality.

• Reduced false negatives in identifying AI-manipulated evidence.

• Improved trust with legal teams and law enforcement, offering auditable, explainable detection results.

As synthetic speech becomes indistinguishable from real human voices, experts like JP French International are on the frontlines of defending truth and trust. With Resemble AI’s technology, they’re not just reacting to deepfakes—they’re proactively stopping them.