Topic of presentation: Variational autoencoders for speech processing The main points of the presentation: Variational autoencoders (or VAE) have become one of the most popular unsupervised learning techniques for modelling complex data distributions, such as images and audio. In this talk I'll begin with a general introduction to VAEs and then review a recent technique called VQ-VAE which is capable of learning rundimentary phoneme-level language model from raw audio without any supervision. http://dataconf.com.ua/speaker-page/dmytro-bielievtsov.php https://www.youtube.com/watch?v=euYSAL-aKMI&list=PL5_LBM8-5sLjbRFUtXaUpg84gtJtyc4Pu&t=0s&index=9