Alicia Lozano-Díez

From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization

2022 · arXiv (Cornell University)

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 diarization systems since a single system is trained at once to …