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Found 3 papers, 1 papers with code
Exploration of A Self-Supervised Speech Model: A Study on Emotional Corpora
Self-supervised speech models have grown fast during the past few years and have proven feasible for use in various downstream tasks.
Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling
We review some of the latest approaches to analysing cardiac electrophysiology data using machine learning and predictive modelling.
Adversarial Information Factorization
We propose a novel generative model architecture designed to learn representations for images that factor out a single attribute from the rest of the representation.
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