Speaker: Arturo Domínguez Santos. Abstract: This Master’s thesis addresses the challenge of investigating how emotions affect speakerverification and proposes a system that integrates this emotional variability to try toimprove accuracy. The focus is on the speaker’s emotions, which has traditionally… Read More
Exploring Speech Foundation Models for End-to-End Speaker Diarization
Speaker: Laura Herrera Alarcón. Abstract: In this Master’s Thesis the use of pre-trained models for the diarization task has beenstudied in order to exploit their ability to extract robust and discriminative features.In particular, the WavLM model has been combined with… Read More
Interpretation of fingerprint evidence with likelihood ratios (LRs – Likelihood ratios)
Speaker: Joaquín González Rodríguez. Abstract: The forensic fingerprint identification process based on the ACE-V method, widely implemented, makes absolute identification or exclusion decisions that depend on opinions that vary from expert to expert (for example, whether we consider an observed… Read More
SGE & CCC Architecture – Introduction for Beginners
Speaker: Adrián Aranda Márquez. Abstract: Simple technical introduction for using SGE with AUDIAS servers (Son of Grid Engine) and CCC (UAM’s Central Computing Center).
Study of the predictive capacity of the efficacy of platelet-rich plasma (PRP) treatments in joint injuries
Speaker: Berta Caunedo Castro. Abstract: This Final Degree Project evaluates Platelet-Rich Plasma (PRP) therapy as an alternative to traditional treatments for knee osteoarthritis, a prevalent joint condition. PRP uses regenerative growth factors from the patient’s blood, but its variability complicates… Read More
Leveraging Speaker Embeddings in End-to-End Neural Diarization for Two-Speaker Scenarios
Speaker: Juan Ignacio Álvarez Trejos. Abstract: This presentation covers the work presented at Odyssey 2024, focusing on speaker diarization in two-speaker scenarios. End-to-end neural speaker diarization systems are designed to handle overlapping speech while accurately distinguishing between speakers. In this… Read More
Diarization Introduction & EEND Perceiver-based Diarization
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