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
A Systematic Study on the Use of the Log-Likelihood Ratio Cost in Forensic Science
Speaker: Daniel Ramos Castro. Abstract: It is increasingly common in forensic science to report evidential findings in terms of a likelihood ratio (LR). Such analyses are often supported by (semi-)automated LR systems based on statistical methods, which allows for validation… Read More
Language Models in Protein Engineering
Speaker: Joaquín González Rodríguez. Abstract: The sequences of aminoacids describing a protein can be efficiently handled by language models. In this talk, present and future applications of Transformer-based protein Language Models are surveyed, focusing in databases, benchmarks and models already… Read More
Automatic Wheeze Segmentation Using Harmonic-Percussive Source Separation and Empirical Mode Decomposition
Speaker: Miguel Ángel Martínez Pay. Abstract: Based on https://ieeexplore.ieee.org/document/10051156. Wheezes, a respiratory anomaly in patients with respiratory conditions, are significant for clinical assessment, particularly in gauging bronchial obstruction. While conventional auscultation is the norm for wheeze analysis, recent years emphasize… Read More
Personalized keyword spotting detection : Research internship @ Google
Speaker: Beltrán Labrador Serrano. Abstract: Keyword spotting systems are used in a variety of applications, such as smart speakers and voice assistants. However, these systems can be challenged by diverse accents, age groups, and speaking conditions.In this talk, I will… Read More
Sound Event Detection with Conformer: the AUDIAS system for DCASE 2023
Speaker: Sara Barahona Quirós. Abstract: The Conformer architecture has achieved state-of-the-art results in several tasks, including automatic speech recognition and automatic speaker verification. However, its utilization in sound event detection and in particular in the DCASE Challenge Task 4 has… Read More
Deployment of KWS models: audio features optimization and streaming mode
Speaker: William Fernando López Gavilánez. Abstract: The deployment process of Keyword Spotting (KWS) models depends on the target hardware, it normally includes merging components in a black box, binarization, quantization, and/or mobile optimization. In addition, while processing a continuous stream… Read More
Lines of research in the field of acoustic events detection
Speaker: Sergio Segovia González. Abstract: Within the development of the doctoral thesis, whose objective is to work in the field of acoustic event detection, it has been carried out the implementation of several lines of research, such as using the… Read More