Wells Fargo wants to help you decipher what’s real and what’s fake. The company filed a patent application for “synthetic voice fraud detection,” tech that attempts to pick up on deep fakes even if they’re based on authentic vocal samples. “Advances in AI technology have made it possible to create highly convincing synthetic voices that can mimic real individuals,” Wells Fargo said in the filing. “As synthetic voice technology becomes more sophisticated, detecting synthetic voices becomes more difficult.” Wells Fargo’s system first collects samples of peoples’ voices and normalizes them, cutting out background noise and adjusting the volume if necessary. The system then generates an artificial clone of that person’s voice, feeding both to a machine-learning model for training. From this, the model learns to spot subtle indicators and inconsistencies between the real and synthetic voice clips. This could include detecting audio artifacts from generation algorithms, unnatural variations in pitch or timing, or differences in the patterns of background noises or harmonic structure.