Contrastive Predictive Coding for Automatic Speaker Verification
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Updated
Oct 29, 2019 - Python
Contrastive Predictive Coding for Automatic Speaker Verification
JHU's system submission to the ASVspoof 2019 Challenge: Anti-Spoofing with Squeeze-Excitation and Residual neTworks (ASSERT).
University of Edinbrugh-Johns Hopkins University's system for ASVspoof 2017 Version 2.0 dataset.
Official implement of "Dual-stream Time-Delay Neural Network with Dynamic Global Filter for Speaker Verification" in PyTorch
For further release go to: https://git-lium.univ-lemans.fr/speaker/sidekit
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