Speaker: Alicia Lozano Díez. Abstract: In this talk, I will present an introduction of the speaker diarization task as well as the latest approaches based on neural networks as self-attention end-to-end neural diarization (EEND) with encoder-decoder attractors (EDA) as opposed… Read More
Introduction to Reinforcement Learning.
Speaker: Tamas Endrei. Abstract: Reinforcement learning (RL) has emerged as one of the most fascinating fields of machine learning, providing solutions to challenging problems ranging from complex robotics behaviors to optimizing neural network architectures. Despite its immense potential, RL’s complex… Read More
GPU Parallel Computing for Deep Learning
Speaker: Beltrán Labrador Serrano. Abstract: Large Language Models (LLMs) is transforming natural language processing and are now impacting speech processing. This talk addresses the challenge of training these massive neural networks required to follow this trend. I will present GPU… Read More