markovka17/dla
A university course on deep learning for audio processing covering speech recognition, TTS, speaker verification, and source separation.

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An educational course on deep learning for audio, taught at HSE CS Faculty. The course covers digital signal processing fundamentals, automatic speech recognition (CTC, LAS, RNN-T), source separation, text-to-speech, voice conversion, and audio self-supervised learning. Materials include weekly lectures and seminars with hands-on practice using PyTorch.