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 will review some of the most recent works in this research line and their results in the past few challenging technology evaluations such as CHiME-6 and the third DIHARD challenge.