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
Rotary Position Embeddings (RoPE) in Transformers.
Speaker: Doroteo Torre Toledano. Abstract: Since Transformers were proposed in 2017, they have dominated the state-of-the-art in several domains including language modelling, speech processing, and even image processing. Although the main ideas of the original Transformers are essentially kept, there… Read More
Large Language Models in Protein Engineering
Speaker: Natalia Pinto Estéban. Abstract: The intersection of artificial intelligence and protein engineering represents an innovative frontier in scientific exploration. In this presentation, titled ‘Large Language Models in Protein Engineering,’ we delve into the field of advanced language models, focusing… Read More
Lute and vihuela in the Renaissance period: instruments and music
Speaker: Joaquín González Rodríguez. Abstract: In this talk we will present an overview of two extremely popular plucked musical instruments in XVI century in Europe, the Lute and its Spanish version the Vihuela. Sharing a common tuning and playing characteristics… Read More
DiarizationLM: speaker diarization post-processing with large language models
Speaker: Laura Herrera Alarcón. Abstract: This paper presents a framework designed to post-process the outputs of speaker diarization systems using large language models (LLM). The framework aims to enhance the readability of the diarized transcripts and reduce the WDER. For… Read More
Fainess in Modern ASR Systems
Speaker: Pilar Fernández Gallego. Abstract: Nowadays ASR (Automatic Speech Recognition) systems have dramatically improved, due both to advances in deep learning and to the collection of large datasets used to train the systems. However, it has been demonstrated in studies… Read More
Explainable Machine Learning
Speaker: Sara Barahona Quirós. Abstract: Explainable Machine Learning (XAI) refers to the development of machine learning models and algorithms that not only make accurate decisions but also provide understandable and interpretable explanations for those predictions. In traditional machine learning, particularly… Read More
Generative Artificial Intelligence: A Global Overview
Speaker: Diego de Benito Gorrón. Abstract: Generative Artificial Intelligence (GenAI) has made a strong impact on the technological landscape, redefining paradigms and possibilities. This talk offers a panoramic view of GenAI, with a specific focus on Large Language Models (LLMs)… Read More