Result Details

Utilizing VOiCES dataset for multichannel speaker verification with beamforming

MOŠNER, L.; PLCHOT, O.; ROHDIN, J.; ČERNOCKÝ, J. Utilizing VOiCES dataset for multichannel speaker verification with beamforming. Proceedings of Odyssey 2020 The Speaker and Language Recognition Workshop. Proceedings of Odyssey: The Speaker and Language Recognition Workshop Odyssey 2014, Joensuu, Finland. Tokyo: International Speech Communication Association, 2020. no. 11, p. 187-193. ISSN: 2312-2846.
Type
conference paper
Language
English
Authors
Mošner Ladislav, Ing., DCGM (FIT)
Plchot Oldřich, Ing., Ph.D., DCGM (FIT)
Rohdin Johan Andréas, M.Sc., Ph.D., FIT (FIT), DCGM (FIT)
Černocký Jan, prof. Dr. Ing., DCGM (FIT)
Abstract

VOiCES from a Distance Challenge 2019 aimed at the evaluationof speaker verification (SV) systems using single-channeltrials based on the Voices Obscured in Complex EnvironmentalSettings (VOiCES) corpus. Since it comprises recordingsof the same utterances captured simultaneously by multiple microphonesin the same environments, it is also suitable for multichannelexperiments. In this work, we design a multichanneldataset as well as development and evaluation trials forSV inspired by the VOiCES challenge. Alternatives discardingharmful microphones are presented as well. We asses theutilization of the created dataset for x-vector based SV withbeamforming as a front end. Standard fixed beamforming andNN-supported beamforming using simulated data and ideal binarymasks (IBM) are compared with another variant of NNsupportedbeamforming that is trained solely on the VOiCESdata. Lack of data revealed by experiments with VOiCESdatatrained beamformer was tackled by means of a variant ofSpecAugment applied to magnitude spectra. This approach ledto as much as 10% relative improvement in EER pushing resultscloser to those obtained by a good beamformer based on IBMs.

Keywords

multichannel speaker verification, application-aware beamforming

URL
Published
2020
Pages
187–193
Journal
Proceedings of Odyssey: The Speaker and Language Recognition Workshop Odyssey 2014, Joensuu, Finland, vol. 2020, no. 11, ISSN 2312-2846
Proceedings
Proceedings of Odyssey 2020 The Speaker and Language Recognition Workshop
Conference
Odyssey 2020: The Speaker and Language Recognition Workshop
Publisher
International Speech Communication Association
Place
Tokyo
DOI
10.21437/Odyssey.2020-27
BibTeX 
@inproceedings{BUT164069,
  author="Ladislav {Mošner} and Oldřich {Plchot} and Johan Andréas {Rohdin} and Jan {Černocký}",
  title="Utilizing VOiCES dataset for multichannel speaker verification with beamforming",
  booktitle="Proceedings of Odyssey 2020 The Speaker and Language Recognition Workshop",
  year="2020",
  journal="Proceedings of Odyssey: The Speaker and Language Recognition Workshop Odyssey 2014, Joensuu, Finland",
  volume="2020",
  number="11",
  pages="187--193",
  publisher="International Speech Communication Association",
  address="Tokyo",
  doi="10.21437/Odyssey.2020-27",
  issn="2312-2846",
  url="https://www.isca-speech.org/archive/Odyssey_2020/abstracts/80.html"
}
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
Moderní metody zpracování, analýzy a zobrazování multimediálních a 3D dat, BUT, Vnitřní projekty VUT, FIT-S-20-6460, start: 2020-03-01, end: 2023-02-28, completed
Real time network, text, and speaker analytics for combating organized crime, EU, Horizon 2020, start: 2019-09-01, end: 2022-12-31, 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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