Multilingual speech foundation models, fused with a Tucker-Hadamard module, are reported to reach about 1% equal error rate on emotion fake audio detection, a large drop from prior benchmarks.
The ASVspoof 2017 Challenge: Assessing the Limits of Replay Spoofing Attack Detection,
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Enhancing In-Domain and Out-Domain EmoFake Detection via Cooperative Multilingual Speech Foundation Models
Multilingual speech foundation models, fused with a Tucker-Hadamard module, are reported to reach about 1% equal error rate on emotion fake audio detection, a large drop from prior benchmarks.