Publication Details

Dereverberation and Beamforming in Far-Field Speaker Recognition

MOŠNER, L.; MATĚJKA, P.; NOVOTNÝ, O.; ČERNOCKÝ, J. Dereverberation and Beamforming in Far-Field Speaker Recognition. In Proceedings of ICASSP 2018. Calgary: IEEE Signal Processing Society, 2018. p. 5254-5258. ISBN: 978-1-5386-4658-8.
Czech title
Odstranění dozvuku a směrování paprsku pro rozpoznávání mluvčího ze vzdálených mikrofonů
Type
conference paper
Language
English
Authors
Mošner Ladislav, Ing. (DCGM)
Matějka Pavel, Ing., Ph.D. (DCGM)
Novotný Ondřej, Ing., Ph.D.
Černocký Jan, prof. Dr. Ing. (DCGM)
URL
Keywords

Speaker recognition, microphone array, beamforming, dereverberation, audio retransmission

Abstract

This paper deals with far-field speaker recognition. On a corpus of NIST SRE 2010 data retransmitted in a real room with multiple microphones, we first demonstrate how room acoustics cause significant degradation of state-of-the-art ivector based speaker recognition system. We then investigate several techniques to improve the performances ranging from probabilistic linear discriminant analysis (PLDA) re-training, through dereverberation, to beamforming. We found that weighted prediction error (WPE) based dereverberation combined with generalized eigenvalue beamformer with powerspectral density (PSD) weighting masks generated by neural networks (NN) provides results approaching the clean closemicrophone setup. Further improvement was obtained by re-training PLDA or the mask-generating NNs on simulated target data. The work shows that a speaker recognition system working robustly in the far-field scenario can be developed.

Published
2018
Pages
5254–5258
Proceedings
Proceedings of ICASSP 2018
ISBN
978-1-5386-4658-8
Publisher
IEEE Signal Processing Society
Place
Calgary
DOI
UT WoS
000446384605085
EID Scopus
BibTeX
@inproceedings{BUT155039,
  author="Ladislav {Mošner} and Pavel {Matějka} and Ondřej {Novotný} and Jan {Černocký}",
  title="Dereverberation and Beamforming in Far-Field Speaker Recognition",
  booktitle="Proceedings of ICASSP 2018",
  year="2018",
  pages="5254--5258",
  publisher="IEEE Signal Processing Society",
  address="Calgary",
  doi="10.1109/ICASSP.2018.8462365",
  isbn="978-1-5386-4658-8",
  url="https://www.fit.vut.cz/research/publication/11717/"
}
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