Detail publikace

But System for the Second Dihard Speech Diarization Challenge

LANDINI, F. WANG, S. DIEZ SÁNCHEZ, M. BURGET, L. MATĚJKA, P. ŽMOLÍKOVÁ, K. MOŠNER, L. SILNOVA, A. PLCHOT, O. NOVOTNÝ, O. ZEINALI, H. ROHDIN, J.

Originální název

But System for the Second Dihard Speech Diarization Challenge

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Speaker Diarization, Variational Bayes, HMM, DIHARD, CHiME

Autoři

LANDINI, F.; WANG, S.; DIEZ SÁNCHEZ, M.; BURGET, L.; MATĚJKA, P.; ŽMOLÍKOVÁ, K.; MOŠNER, L.; SILNOVA, A.; PLCHOT, O.; NOVOTNÝ, O.; ZEINALI, H.; ROHDIN, J.

Vydáno

4. 5. 2020

Nakladatel

IEEE Signal Processing Society

Místo

Barcelona

ISBN

978-1-5090-6631-5

Kniha

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Strany od

6529

Strany do

6533

Strany počet

5

URL

BibTex

@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"
}