Result Details

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. Analysis of Speaker Recognition Systems in Realistic Scenarios of the SITW 2016 Challenge. In Proceedings of Interspeech 2016. San Francisco: International Speech Communication Association, 2016. p. 828-832. ISBN: 978-1-5108-3313-5.
Type
conference paper
Language
English
Authors
Novotný Ondřej, Ing., Ph.D., DCGM (FIT)
Matějka Pavel, Ing., Ph.D., DCGM (FIT)
Plchot Oldřich, Ing., Ph.D., DCGM (FIT)
Glembek Ondřej, Ing., Ph.D., DCGM (FIT)
Burget Lukáš, doc. Ing., Ph.D., DCGM (FIT)
Černocký Jan, prof. Dr. Ing., DCGM (FIT)
Abstract

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.

Keywords

speaker recognition, SRE systems, diarization

URL
Annotation

In this paper, we summarize our efforts for the Speakers In The Wild (SITW) challenge, and we present our findings with this new dataset for speaker recognition. Apart from the standard comparison of different SRE systems, we analyze the use of diarization for dealing with audio segments containing multiple speakers, as in part of the newly introduced enrollment and test protocols, diarization is a necessary system component. Our state-of-the-art systems used in this work utilize both cepstral and DNN-based bottleneck features and are based on i-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.

Published
2016
Pages
828–832
Proceedings
Proceedings of Interspeech 2016
Conference
Interspeech Conference
ISBN
978-1-5108-3313-5
Publisher
International Speech Communication Association
Place
San Francisco
DOI
10.21437/Interspeech.2016-981
UT WoS
000409394400173
EID Scopus
2-s2.0-84994201390
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"
}
Files
Projects
DARPA Robust Automatic Transcription of Speech (RATS) - RATS Patrol II, BBN, start: 2015-02-23, end: 2017-03-31, completed
Information mining in speech acquired by distant microphones, MV, Bezpečnostní výzkum České republiky 2015-2020, VI20152020025, start: 2015-10-01, end: 2020-09-30, completed
Zpracování, rozpoznávání a zobrazování multimediálních a 3D dat, BUT, Vnitřní projekty VUT, FIT-S-14-2506, start: 2014-01-01, end: 2016-12-31, completed
Research groups
Speech Data Mining Research Group BUT Speech@FIT (RG SPEECH)
Departments
Department of Computer Graphics and Multimedia (DCGM)
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