# Week 13

- [Guest lecture slides](KAN_AASIST.pdf)
- [Lecture slides](https://docs.google.com/presentation/d/1-MMgEA7S2bRU64P-185BSV6GaHsJbbCDp5QvM_WyBwc/edit?usp=sharing)
- [Recording on YouTube (in Russian)](https://youtu.be/HwQlnNRQRbg)

## Literature

Here is some useful literature:

- ASVspoof: [ASVspoof 2019: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan](https://www.asvspoof.org/asvspoof2019/asvspoof2019_evaluation_plan.pdf), [ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech](https://arxiv.org/pdf/1911.01601.pdf)

- Softmax-based losses: [Margin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition](https://arxiv.org/pdf/1906.07317.pdf)

- ECAPA-TDNN: [ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification](https://arxiv.org/pdf/2005.07143.pdf)

- RawNet1: [RawNet: Advanced end-to-end deep neural network using raw waveforms for text-independent speaker verification](https://arxiv.org/abs/1904.08104)

- RawNet2 (ASV): [Improved RawNet with Feature Map Scaling for Text-independent Speaker Verification using Raw Waveforms](https://arxiv.org/abs/2004.00526)

- RawNet3: [Pushing the limits of raw waveform speaker recognition](https://arxiv.org/abs/2203.08488)

- Parametrized FilterBanks: [Filterbank design for end-to-end speech separation](https://arxiv.org/abs/1910.10400)

- Streaming: [RawSpectrogram: On the Way to Effective Streaming Speech Anti-Spoofing](https://ieeexplore.ieee.org/document/10271307)
