Speaker: Julio González Abstract: This talk is a presentation of the BsC Thesis “Modelos de aprendizajeprofundo con auto-atención para detección de eventos de audio”. Itdescribes the implementation of the Transformer and Conformer neuralnetworks and presents the results of the test… Read More
End-to-end Speaker Diarization
Speaker: Alicia Lozano Diez Abstract: In this talk, I will describe new approaches to the task of speaker diarization based on end-to-end neural networks, which present several advantages with respect to traditional systems based on clustering of speaker embeddings. I… Read More
Normalizing Flows for calibration of multiclass probabilistic classifiers
Speaker: Sergio Márquez Abstract: Today’s Deep Neural Networks (DNNs) have achieved high performance in accuracy, far exceeding the ones used ten years ago. Nevertheless, the outputs provided by these modern networks are less well calibrated, becoming a major problem in… Read More