Detail publikace

Analysis of the BUT Diarization System for Voxconverse Challenge

LANDINI, F. GLEMBEK, O. MATĚJKA, P. ROHDIN, J. BURGET, L. DIEZ SÁNCHEZ, M. SILNOVA, A.

Originální název

Analysis of the BUT Diarization System for Voxconverse Challenge

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper describes the system developed by the BUT team for thefourth track of the VoxCeleb Speaker Recognition Challenge, focusingon diarization on the VoxConverse dataset. The system consistsof signal pre-processing, voice activity detection, speaker embeddingextraction, an initial agglomerative hierarchical clusteringfollowed by diarization using a Bayesian hidden Markov model, areclustering step based on per-speaker global embeddings and overlappedspeech detection and handling. We provide comparisons foreach of the steps and share the implementation of the most relevantmodules of our system. Our system scored second in the challengein terms of the primary metric (diarization error rate) and first accordingto the secondary metric (Jaccard error rate).

Klíčová slova

Speaker Diarization, Variational Bayes, HMM,VoxConverse, VoxSRC Challenge

Autoři

LANDINI, F.; GLEMBEK, O.; MATĚJKA, P.; ROHDIN, J.; BURGET, L.; DIEZ SÁNCHEZ, M.; SILNOVA, A.

Vydáno

6. 6. 2021

Nakladatel

IEEE Signal Processing Society

Místo

Toronto, Ontario

ISBN

978-1-7281-7605-5

Kniha

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Strany od

5819

Strany do

5823

Strany počet

5

URL

https://ieeexplore.ieee.org/document/9414315

BibTex

@inproceedings{BUT175790,
  author="Federico Nicolás {Landini} and Ondřej {Glembek} and Pavel {Matějka} and Johan Andréas {Rohdin} and Lukáš {Burget} and Mireia {Diez Sánchez} and Anna {Silnova}",
  title="Analysis of the BUT Diarization System for Voxconverse Challenge",
  booktitle="ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",
  year="2021",
  pages="5819--5823",
  publisher="IEEE Signal Processing Society",
  address="Toronto, Ontario",
  doi="10.1109/ICASSP39728.2021.9414315",
  isbn="978-1-7281-7605-5",
  url="https://ieeexplore.ieee.org/document/9414315"
}

Dokumenty

landini_icassp2021_09414315.pdf