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EmotiSpoof
PyTorchPythonMFCC/LFCCAASISTIndexTTS2
Research on detection algorithms for emotional spoofed speech. Built a multilingual benchmark dataset of 140K+ samples and developed the EMO-AASIST model achieving 93.53% accuracy.