Publication detail

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.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Keywords

speaker recognition, SRE systems, diarization

Authors

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

Released

8. 9. 2016

Publisher

International Speech Communication Association

Location

San Francisco

ISBN

978-1-5108-3313-5

Book

Proceedings of Interspeech 2016

Pages from

828

Pages to

832

Pages count

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"
}