discort/deep-learning-for-audio

Deep Learning for Audio

Lectures presented at:

• Projector-DATA SCIENCE & MACHINE LEARNING PROFESSIUM 2020
• UCU Lviv DS Summer School 2020

Content:

• Lecture 1: Physics of sound, Discret Fourier Transform, Spectrograms.
• Lecture 2: Learnable DFT, Time and Spectral domain audio augmentations.
• Lecture 3: Modern TTS, Tacotorn, Multi-speaker models, Multi-head models, Phonemes, Griffin-Lim Phase Reconstruction Vocoder
• Lecture 4: Expressive TTS, Style Encodres, Style Tokens, SpichSplit, Zero Resource TTS.
• Code for training neural DFT.