Detail publikačního výsledku

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

Anglický název

Dereverberation and Beamforming in Far-Field Speaker Recognition

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

This paper deals with far-field speaker recognition. On a corpusof NIST SRE 2010 data retransmitted in a real roomwith multiple microphones, we first demonstrate how roomacoustics cause significant degradation of state-of-the-art ivectorbased speaker recognition system. We then investigateseveral techniques to improve the performances ranging fromprobabilistic linear discriminant analysis (PLDA) re-training,through dereverberation, to beamforming. We found thatweighted prediction error (WPE) based dereverberation combinedwith generalized eigenvalue beamformer with powerspectraldensity (PSD) weighting masks generated by neuralnetworks (NN) provides results approaching the clean closemicrophonesetup. Further improvement was obtained byre-training PLDA or the mask-generating NNs on simulatedtarget data. The work shows that a speaker recognition systemworking robustly in the far-field scenario can be developed.

Anglický abstrakt

This paper deals with far-field speaker recognition. On a corpusof NIST SRE 2010 data retransmitted in a real roomwith multiple microphones, we first demonstrate how roomacoustics cause significant degradation of state-of-the-art ivectorbased speaker recognition system. We then investigateseveral techniques to improve the performances ranging fromprobabilistic linear discriminant analysis (PLDA) re-training,through dereverberation, to beamforming. We found thatweighted prediction error (WPE) based dereverberation combinedwith generalized eigenvalue beamformer with powerspectraldensity (PSD) weighting masks generated by neuralnetworks (NN) provides results approaching the clean closemicrophonesetup. Further improvement was obtained byre-training PLDA or the mask-generating NNs on simulatedtarget data. The work shows that a speaker recognition systemworking robustly in the far-field scenario can be developed.

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

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

Rok RIV

2019

Vydáno

15.04.2018

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