- Lecture slides
- Seminar
- Recording on YouTube (in Russian): Not available. Please, look at the previous year recordings for weeks 10 and 11. They cover this year material.
There is an English version from the LauzHack Deep Learning Bootcamp. See here.
Here is some useful literature:
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CM for replay attack: The DKU-CMRI System for the ASVspoof 2021 Challenge: Vocoder based Replay Channel Response Estimation
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VAE for anomaly detection: Variational Autoencoder based Anomaly Detection using Reconstruction Probability
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Artifacts in Sub-bands: An explainability study of the constant Q cepstral coefficient spoofing countermeasure for automatic speaker verification
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Fusion: Spoofing Attack Detection using the Non-linear Fusion of Sub-band Classifiers
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LCNN: A Light CNN for Deep Face Representation with Noisy Labels,
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AASIST: AASIST: AUDIO ANTI-SPOOFING USING INTEGRATED SPECTRO-TEMPORAL GRAPH ATTENTION NETWORKS
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SSL + AASIST: Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation
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ASVspoof: ASVspoof 2019: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan, ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech