- Lecture and seminar materials for each week are in ./week* folders, see README.md for materials and instructions
- Any technical issues, ideas, bugs in course materials, contribution ideas - add an issue
- The current version of the course is conducted in autumn 2021 at the CS Faculty of HSE
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week01 Introduction to Digital Signal Processing
- Lecture: Introduction
- Seminar: Intro in
pytorch
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week02 Introduction to Digital Signal Processing
- Lecture: Signals, Fourier transform, Spectrograms, MelScale, MFCC and etc
- Seminar:
torchaudio, spoken digit classification
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week03 Automatic Speech Recognition I
- Lecture: Metrics, Attention, CTC, LAS, BeamSearch
- Seminar: Audio augmentations, CTC decoding, CTC BeamSearch
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week04 Automatic Speech Recognition II
- Lecture: RNN-T, LM-fusion, BPE
- Seminar: W&B tutorial, homework barebones overview
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week05 Speaker verification and identification
- Lecture: Metric Learning: Cosine, Contrastive, Triplet Losses. Angular Softmax. ArcFace
- Seminar: ---
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week06 Key-word spottind (KWS)
- Lecture: (DNN, CNN, RNN+Attention) based KWS, SVDF, Orthogonality Regularization and other Tricks
- Seminar: Speeding Up NNs: Tensor Decomposition, Quantization, Pruning, Distilation and Architecture Design
Course materials and teaching performed by