In this work, we propose an error correction framework, named DiaCorrect...
Combining end-to-end neural speaker diarization (EEND) with vector clust...
End-to-end diarization presents an attractive alternative to standard
ca...
End-to-end neural diarization (EEND) is nowadays one of the most promine...
Dysarthric speech recognition has posed major challenges due to lack of
...
The recently proposed VBx diarization method uses a Bayesian hidden Mark...
This paper describes the system developed by the BUT team for the fourth...
Recently several end-to-end speaker verification systems based on deep n...