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 the fourth track of the VoxCeleb Speaker Recognition Challenge, focusing on diarization on the VoxConverse dataset. The system consists of signal pre-processing, voice activity detection, speaker embedding extraction, an initial agglomerative hierarchical clustering followed by diarization using a Bayesian hidden Markov model, a reclustering step based on per-speaker global embeddings and overlapped speech detection and handling. We provide comparisons for each of the steps and share the implementation of the most relevant modules of our system. Our system scored second in the challenge in terms of the primary metric (diarization error rate) and first according to 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