Result Details

BUT System Description to VoxCeleb Speaker Recognition Challenge 2019

ZEINALI, H.; WANG, S.; SILNOVA, A.; MATĚJKA, P.; PLCHOT, O. BUT System Description to VoxCeleb Speaker Recognition Challenge 2019. Proceedings of The VoxCeleb Challange Workshop 2019. Graz: 2019. p. 1-4.
Type
conference paper
Language
English
Authors
Zeinali Hossein, Ph.D., DCGM (FIT)
Wang Shuai, DCGM (FIT)
Silnova Anna, M.Sc., Ph.D., DCGM (FIT)
Matějka Pavel, Ing., Ph.D., DCGM (FIT)
Plchot Oldřich, Ing., Ph.D., DCGM (FIT)
Abstract

In this report, we describe the submission of Brno Universityof Technology (BUT) team to the VoxCeleb Speaker RecognitionChallenge (VoxSRC) 2019. We also provide a brief analysisof different systems on VoxCeleb-1 test sets. Submittedsystems for both Fixed and Open conditions are a fusion of4 Convolutional Neural Network (CNN) topologies. The firstand second networks have ResNet34 topology and use twodimensionalCNNs. The last two networks are one-dimensionalCNN and are based on the x-vector extraction topology. Someof the networks are fine-tuned using additive margin angularsoftmax. Kaldi FBanks and Kaldi PLPs were used as features.The difference between Fixed and Open systems lies in the usedtraining data and fusion strategy. The best systems for Fixedand Open conditions achieved 1.42 % and 1.26 % ERR on thechallenge evaluation set respectively.

Keywords

VoxCeleb Speaker Recognition Challenge, Deep NeuralNetworks, ResNet, x-vector, PLDA, Cosine distance

URL
Published
2019
Pages
1–4
Proceedings
Proceedings of The VoxCeleb Challange Workshop 2019
Conference
The VoxSRC Workshop 2019
Place
Graz
BibTeX 
@inproceedings{BUT168476,
  author="Hossein {Zeinali} and Shuai {Wang} and Anna {Silnova} and Pavel {Matějka} and Oldřich {Plchot}",
  title="BUT System Description to VoxCeleb Speaker Recognition Challenge 2019",
  booktitle="Proceedings of The VoxCeleb Challange Workshop 2019",
  year="2019",
  pages="1--4",
  address="Graz",
  url="https://arxiv.org/abs/1910.12592"
}
Files
Projects
Information mining in speech acquired by distant microphones, MV, Bezpečnostní výzkum České republiky 2015-2020, VI20152020025, start: 2015-10-01, end: 2020-09-30, completed
IT4Innovations excellence in science, MŠMT, Národní program udržitelnosti II, LQ1602, start: 2016-01-01, end: 2020-12-31, completed
Neural Representations in multi-modal and multi-lingual modeling, GACR, Grantové projekty exelence v základním výzkumu EXPRO - 2019, GX19-26934X, start: 2019-01-01, end: 2023-12-31, completed
Research groups
Speech Data Mining Research Group BUT Speech@FIT (RG SPEECH)
Departments
Department of Computer Graphics and Multimedia (DCGM)
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