research
∙
09/15/2023
DiaCorrect: Error Correction Back-end For Speaker Diarization
In this work, we propose an error correction framework, named DiaCorrect...
share
research
∙
05/23/2023
Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization
Combining end-to-end neural speaker diarization (EEND) with vector clust...
research
∙
11/12/2022
Multi-Speaker and Wide-Band Simulated Conversations as Training Data for End-to-End Neural Diarization
End-to-end diarization presents an attractive alternative to standard ca...
research
∙
04/02/2022
From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization
End-to-end neural diarization (EEND) is nowadays one of the most promine...
research
∙
12/29/2020
Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: theory, implementation and analysis on standard tasks
The recently proposed VBx diarization method uses a Bayesian hidden Mark...
research
∙
10/22/2020
