Detail publikace

Dereverberation and Beamforming in Far-Field Speaker Recognition

MOŠNER, L. MATĚJKA, P. NOVOTNÝ, O. ČERNOCKÝ, J.

Originální název

Dereverberation and Beamforming in Far-Field Speaker Recognition

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

MOŠNER, L.; MATĚJKA, P.; NOVOTNÝ, O.; ČERNOCKÝ, J.

Vydáno

15. 4. 2018

Nakladatel

IEEE Signal Processing Society

Místo

Calgary

ISBN

978-1-5386-4658-8

Kniha

Proceedings of ICASSP 2018

Strany od

5254

Strany do

5258

Strany počet

5

URL

https://www.fit.vut.cz/research/publication/11717/

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/"
}

Dokumenty

mosner_icassp2018_0005254.pdf