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Found 4 papers, 4 papers with code
Can Self-Supervised Neural Representations Pre-Trained on Human Speech distinguish Animal Callers?
Self-supervised learning (SSL) models use only the intrinsic structure of a given signal, independent of its acoustic domain, to extract essential information from the input to an embedding space.
Ranked #1 on
Caller Detection
on InfantMarmosetsVox
Unsupervised Voice Activity Detection by Modeling Source and System Information using Zero Frequency Filtering
This paper investigates the potential of zero-frequency filtering for jointly modeling voice source and vocal tract system information, and proposes two approaches for VAD.
Are GAN-based Morphs Threatening Face Recognition?
Morphing attacks are a threat to biometric systems where the biometric reference in an identity document can be altered.
Vulnerability Analysis of Face Morphing Attacks from Landmarks and Generative Adversarial Networks
Morphing attacks is a threat to biometric systems where the biometric reference in an identity document can be altered.
