DETECT-3B-Omni is Agnostic of Content and Demographics

DETECT-3B-Omni is a deepfake audio detection system evaluated for its performance consistency across different content types and speaker demographics in collaboration with Deutsche Telekom, supporting GDPR-compliant real-time call monitoring. Published in July 2026 and showcased at the International Symposium on Synthetic Media Attribution and Detection, the study confirmed the system's high detection accuracy of 98.3% across 10,240 audio samples, with a maximum accuracy variance of ±2 percentage points between different speaker groups. The analysis included both benign and malicious content, using recordings from 30 states with speakers aged 20 to 55, and voice-cloned audio generated by eight open-source models. Importantly, the system's performance did not depend on a speaker's age, gender, accent, or the call's content, aligning with GDPR's requirement to process only essential data. However, findings are limited to native US English speakers, and smaller sample sizes may show greater variance, emphasizing the importance of the full dataset results.

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