Speaker: Alicia Lozano-Diez. Abstract: In this talk, I will review a few of the last trends in speaker diarization and target speaker ASR. I will present two papers that address these two tasks respectively, and leverage the power of foundational… Read More
What can LLMs bring to the field of acoustic event detection?
Speaker: Sergio Segovia González. Abstract: The answer to this question through these two articles, “WILDDESED: An LLM-POWERED dataset for wild domestic environment sound event detection system” and “Leveraging LLM and Text-Queried Separation for Noise-Robust Sound Event Detection” has been carried… Read More
Exploring Large Protein Language Models in Constrained Data Regimes
Speaker: Manuel Fernando Mollon Laorca. Abstract: In this study, we expand upon the FLIP benchmark—designed for evaluating protein language models (pLMs) in small, specialized prediction tasks—by assessing the performance of state-of-the-art models, including ESM-2, SaProt, and Tranception, on the FLIP… Read More