Publication detail
Utilizing VOiCES dataset for multichannel speaker verification with beamforming
MOŠNER, L. PLCHOT, O. ROHDIN, J. ČERNOCKÝ, J.
Original Title
Utilizing VOiCES dataset for multichannel speaker verification with beamforming
Type
article in a collection out of WoS and Scopus
Language
English
Original 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
Authors
MOŠNER, L.; PLCHOT, O.; ROHDIN, J.; ČERNOCKÝ, J.
Released
1. 11. 2020
Publisher
International Speech Communication Association
Location
Tokyo
ISBN
2312-2846
Periodical
Proceedings of Odyssey: The Speaker and Language Recognition Workshop Odyssey 2014, Joensuu, Finland
Year of study
2020
Number
11
State
Republic of Finland
Pages from
187
Pages to
193
Pages count
7
URL
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"
}
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