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
Robust Wake-up Word by Two-stage Multi-resolution Ensembles
Speaker: William Fernando López Gaviánez. Abstract: Voice-based interfaces rely on a wake-up word mechanism to initiate communication with devices. However, achieving a robust, energy-efficient, and fast detection remains a challenge. This paper addresses these real production needs by enhancing data… Read More
Towards automatic inspection of nuclear fuel elements in spent fuel storage with AI tools.
Speaker: Sergio Segovia González. Abstract: New way to automatize the inspection of nuclear fuel elements in spent fuel storage processing video signal and audio signal. For video signal, it is developed a custom database including images from several nuclear facilities… Read More
FLIP (Fitness Landscape Inference for Proteins)
Speaker: Natalia Pinto Estéban. Abstract: Machine learning is growing in significance across various research domains. One of these domains is biology, specifically focusing on protein engineering and directed evolution techniques. This presentation is grounded in the FLIP paper (Fitness Landscape… Read More
Knowledge Distillation to Compress and Accelerate Large Models
Speaker: Laura Herrera Alarcón. Abstract: These papers present the idea of Knowledge Distillation, a method to compress and accelerate large models with high computational and storage cost. Thanks to this, these models can be used for real-time applications or in… Read More
An introduction to Spiking Neural Networks (SNNs) and neuromorphic computing
Speaker: Doroteo Torre Toledano. Abstract: This talk is an overview of Spiking Neural Networks, a biologically inspired type of neural networks that outputs digital spikes over continuous time in an asynchronous way, instead of continuous values at frame-by-frame synchronous times… Read More