Speaker: William Fernando López Gavilánez Abstract: Advances in speech synthesis technology have facilitated numerous beneficial applications. However, they also pose significant threats, especially in the realm of identity spoofing. The study explores the potential of leveraging complex spectrograms for real-time… Read More
Past, present and ¿future? of Scaling Laws for Neural Language Models
Speaker: Beltrán Labrador Abstract: This presentation examines the scaling laws for neural networks that were foundational to the development of modern, large-scale language models. It revisits the 2020 OpenAI paper that established a key principle: model performance scales predictably with… Read More
Emotion Recognition Based On Speech Analysis For The EmoSPeech 2024 Challenge
Speaker: Manuel Otero Abstract: This master’s thesis addresses the analysis and recognition of emotions in speech, within the framework of the EmoSPeech 2024 challenge. Different approaches to the state of the art are presented, from traditional methods to current models… Read More
Deep Learning Insights Inspired by Reinforcement Learning Research
Speaker: Tamas Endrei. Abstract: Despite deep reinforcement learning being around for more than 10 years, traditional deep learning best practices have largely avoided the field until now. This talk elaborates on deep learning techniques uncovered through RL-motivated research, touching on… Read More