3 citations · 6 across the 6 of their papers we have counts for
6 papers
Exploring Large Protein Language Models in Constrained Evaluation Scenarios within the FLIP Benchmark
Manuel F. Mollon, Joaquin Gonzalez-Rodriguez, Alicia Lozano-Diez +2
In this study, we expand upon the FLIP benchmark-designed for evaluating protein fitness prediction models in small, specialized prediction tasks-by assessing the performance of st…
Voxceleb-ESP: preliminary experiments detecting Spanish celebrities from their voices
Beltrán Labrador, Manuel Otero-Gonzalez, Alicia Lozano-Diez +3
This paper presents VoxCeleb-ESP, a collection of pointers and timestamps to YouTube videos facilitating the creation of a novel speaker recognition dataset. VoxCeleb-ESP captures…
Multi-Speaker and Wide-Band Simulated Conversations as Training Data for End-to-End Neural Diarization
Federico Landini, Mireia Diez, Alicia Lozano-Diez +1
End-to-end diarization presents an attractive alternative to standard cascaded diarization systems because a single system can handle all aspects of the task at once. Many flavors…
From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization
Federico Landini, Alicia Lozano-Diez, Mireia Diez +1
End-to-end neural diarization (EEND) is nowadays one of the most prominent research topics in speaker diarization. EEND presents an attractive alternative to standard cascaded diar…
Statistical Models in Forensic Voice Comparison
Geoffrey Stewart Morrison, Ewald Enzinger, Daniel Ramos +2
This chapter describes a number of signal-processing and statistical-modeling techniques that are commonly used to calculate likelihood ratios in human-supervised automatic approac…
Bayesian Strategies for Likelihood Ratio Computation in Forensic Voice Comparison with Automatic Systems
Daniel Ramos, Juan Maroñas, Alicia Lozano-Diez
This paper explores several strategies for Forensic Voice Comparison (FVC), aimed at improving the performance of the LRs when using generative Gaussian score-to-LR models. First,…