Detail publikace

Analysis of Speaker Recognition Systems in Realistic Scenarios of the SITW 2016 Challenge

NOVOTNÝ, O. MATĚJKA, P. PLCHOT, O. GLEMBEK, O. BURGET, L. ČERNOCKÝ, J.

Originální název

Analysis of Speaker Recognition Systems in Realistic Scenarios of the SITW 2016 Challenge

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

In this paper, we summarize our efforts for the Speakers InThe Wild (SITW) challenge, and we present our findings withthis new dataset for speaker recognition. Apart from the standardcomparison of different SRE systems, we analyze the useof diarization for dealing with audio segments containing multiplespeakers, as in part of the newly introduced enrollmentand test protocols, diarization is a necessary system component.Our state-of-the-art systems used in this work utilize bothcepstral and DNN-based bottleneck features and are based oni-vectors followed by Probabilistic Linear Discriminant Analysis(PLDA) classifier and logistic regression calibration/fusion.We present both narrow-band (8 kHz) and wide-band (16 kHz)systems together with their fusions.

Klíčová slova

speaker recognition, SRE systems, diarization

Autoři

NOVOTNÝ, O.; MATĚJKA, P.; PLCHOT, O.; GLEMBEK, O.; BURGET, L.; ČERNOCKÝ, J.

Vydáno

8. 9. 2016

Nakladatel

International Speech Communication Association

Místo

San Francisco

ISBN

978-1-5108-3313-5

Kniha

Proceedings of Interspeech 2016

Strany od

828

Strany do

832

Strany počet

5

URL

BibTex

@inproceedings{BUT132599,
  author="Ondřej {Novotný} and Pavel {Matějka} and Oldřich {Plchot} and Ondřej {Glembek} and Lukáš {Burget} and Jan {Černocký}",
  title="Analysis of Speaker Recognition Systems in Realistic Scenarios of the SITW 2016 Challenge",
  booktitle="Proceedings of Interspeech 2016",
  year="2016",
  pages="828--832",
  publisher="International Speech Communication Association",
  address="San Francisco",
  doi="10.21437/Interspeech.2016-981",
  isbn="978-1-5108-3313-5",
  url="https://www.researchgate.net/publication/307889224_Analysis_of_Speaker_Recognition_Systems_in_Realistic_Scenarios_of_the_SITW_2016_Challenge"
}

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