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School of Electronic Engineering and Computer Science, Queen Mary University of London, UK
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Imperceptible fingerprints prove to be far more reliable for speech deepfake attribution, even as perceptible ones fluctuate with emotional content and model changes.
Fine-tuning with semi-hard negatives can significantly enhance the accuracy of sound effect retrieval through vocal imitation.
Acoustic features alone can robustly predict audiobook appeal, revealing a new dimension of personalization in audiobook production.