A defense lawyer asked if the recording could be AI. The answer used to take more time. Deepfake detection built into forensic analysis.
Blog post from Resemble AI
JP French International, a forensic speech-analysis firm, adopted Resemble AI’s audio deepfake detection tool in 2024 as increasingly realistic voice cloning prompted lawyers and courts to question whether disputed recordings were synthetic. Consultants Kristina Tomić and Dominic Watt now screen potentially AI-generated audio before conducting traditional speaker comparison, combining the tool’s results, transcription and translation capabilities with independent human-led forensic assessment of linguistic, auditory, and acoustic characteristics. The firm selected the system based on reported benchmarking performance and conducted its own tests using synthetic recordings designed to challenge it, while emphasizing that automated findings must be validated and defensible under cross-examination. In one case, a recording that sounded similar to a suspect was flagged as synthetic, redirecting the investigation before conventional speaker-comparison methods could influence the outcome. JPFI views this dual-method approach as increasingly necessary as voice-generation technology advances, while recognizing that detection tools should help identify recordings requiring additional scrutiny rather than automatically treating all audio evidence as unreliable.
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