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As AI-generated voice fraud accelerates - with 1 in 4 calls reviewed by Hiya now containing AI-generated audio - the ability to reliably detect synthetic speech has never been more critical. Hiya's deepfake voice detection technology, built on years of research in speech and signal processing, is now independently validated as the top-performing system on one of the field's most rigorous public benchmarks.
As of February 2026, Hiya's speech deepfake detection system ranks #1 in the Average Result and #2 in the Pool Result on the Speech Deepfake Arena Leaderboard hosted on Hugging Face (see Figure 1). The Pool Result is the leaderboard's primary ranking metric, computed over all evaluation samples combined, while the Average Result - where Hiya holds the top position - reflects balanced generalization across all 14 datasets with equal weight. Our model achieves this with only 1 billion parameters - three times smaller than the next leading system's 3 billion - and operates at approximately 8× real-time speed in streaming mode, demonstrating that efficiency and accuracy are not mutually exclusive, particularly under the real-world telephony conditions central to Hiya's deployment environment.