no code implementations • 14 Jun 2021 • Yi Chieh Liu, Eunjung Han, Chul Lee, Andreas Stolcke
We propose a new end-to-end neural diarization (EEND) system that is based on Conformer, a recently proposed neural architecture that combines convolutional mappings and Transformer to model both local and global dependencies in speech.