Publication Details
But System for the Second Dihard Speech Diarization Challenge
Wang Shuai
Diez Sánchez Mireia, M.Sc., Ph.D. (DCGM)
Burget Lukáš, doc. Ing., Ph.D. (DCGM)
Matějka Pavel, Ing., Ph.D. (DCGM)
Žmolíková Kateřina, Ing., Ph.D. (FIT)
Mošner Ladislav, Ing. (DCGM)
Silnova Anna, M.Sc., Ph.D. (DCGM)
Plchot Oldřich, Ing., Ph.D. (DCGM)
Novotný Ondřej, Ing., Ph.D.
Zeinali Hossein, Ph.D. (DCGM)
Rohdin Johan Andréas, M.Sc., Ph.D. (DCGM)
Speaker Diarization, Variational Bayes, HMM, DIHARD, CHiME
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 based on performing agglomerative hierarchical clustering
(AHC) of x-vectors, followed by another x-vector clustering based on Bayes hidden
Markov model and variational Bayes inference. We provide a comparison of the
improvement given by each step and share the implementation of the core of the
system. For tracks 3 and 4 with recordings from the Fifth CHiME Challenge, we
explored different approaches for doing multi-channel diarization and our best
performance was obtained when applying AHC on the fusion of per channel
probabilistic linear discriminant analysis scores.
@inproceedings{BUT163962,
author="Federico Nicolás {Landini} and Shuai {Wang} and Mireia {Diez Sánchez} and Lukáš {Burget} and Pavel {Matějka} and Kateřina {Žmolíková} and Ladislav {Mošner} and Anna {Silnova} and Oldřich {Plchot} and Ondřej {Novotný} and Hossein {Zeinali} and Johan Andréas {Rohdin}",
title="But System for the Second Dihard Speech Diarization Challenge",
booktitle="ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
year="2020",
pages="6529--6533",
publisher="IEEE Signal Processing Society",
address="Barcelona",
doi="10.1109/ICASSP40776.2020.9054251",
isbn="978-1-5090-6631-5",
url="https://ieeexplore.ieee.org/document/9054251"
}