44 citations · 100 across the 34 of their papers we have counts for
5 papers · 2 filters
Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: theory, implementation and analysis on standard tasks
Federico Landini, Ján Profant, Mireia Diez +1
The recently proposed VBx diarization method uses a Bayesian hidden Markov model to find speaker clusters in a sequence of x-vectors. In this work we perform an extensive compariso…
Integration of variational autoencoder and spatial clustering for adaptive multi-channel neural speech separation
Katerina Zmolikova, Marc Delcroix, Lukáš Burget +2
In this paper, we propose a method combining variational autoencoder model of speech with a spatial clustering approach for multi-channel speech separation. The advantage of integr…
A Hierarchical Subspace Model for Language-Attuned Acoustic Unit Discovery
Bolaji Yusuf, Lucas Ondel, Lukas Burget +2
In this work, we propose a hierarchical subspace model for acoustic unit discovery. In this approach, we frame the task as one of learning embeddings on a low-dimensional phonetic…
Analysis of the BUT Diarization System for VoxConverse Challenge
Federico Landini, Ondřej Glembek, Pavel Matějka +4
This paper describes the system developed by the BUT team for the fourth track of the VoxCeleb Speaker Recognition Challenge, focusing on diarization on the VoxConverse dataset. Th…
BUT System for the Second DIHARD Speech Diarization Challenge
Federico Landini, Shuai Wang, Mireia Diez +9
This paper describes the winning systems developed by the BUT team for the four tracks of the Second DIHARD Speech Diarization Challenge. For tracks 1 and 2 the systems were mainly…