A Soft-Contrastive Pseudo Learning Approach Towards Open-World Forged Speech Attribution
Q Zhang, X Zhang, M Sun… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Anti-spoofing of deepfake or forged speech is an important technique for the security usage
of generative artificial intelligence. Beyond binary classification of real and forged speech …
of generative artificial intelligence. Beyond binary classification of real and forged speech …
Syn-Att: Synthetic Speech Attribution via Semi-Supervised Unknown Multi-Class Ensemble of CNNs
With the huge technological advances introduced by deep learning in audio & speech
processing, many novel synthetic speech techniques achieved incredible realistic results. As …
processing, many novel synthetic speech techniques achieved incredible realistic results. As …
Low-complexity Attention-based Unsupervised Anomalous Sound Detection exploiting Separable Convolutions and Angular Loss
In this letter, a novel deep neural network, designed to enhance the efficiency and
effectiveness of unsupervised sound anomaly detection, is presented. The proposed model …
effectiveness of unsupervised sound anomaly detection, is presented. The proposed model …
Unknown Forgery Method Recognition: Beyond Classification
Q Zhang, M Sun, J Yang, X Zhang… - 2023 8th International …, 2023 - ieeexplore.ieee.org
N owadays, deep learning-based generative models are capable of producing high-quality
spoofed speech. This presents new challenges for audio forensics, such as detecting …
spoofed speech. This presents new challenges for audio forensics, such as detecting …
EnCoNet: An Ensemble-based Synthetic Speech Attribution Scheme with Convolutional Neural Networks
Due to the advancement of generative artificial intelligence (AI) technologies, differentiating
between human voice and generated voice has become a challenging problem. Addressing …
between human voice and generated voice has become a challenging problem. Addressing …