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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 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.
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
https://www.researchgate.net/publication/307889224_Analysis_of_Speaker_Recognition_Systems_in_Realistic_Scenarios_of_the_SITW_2016_Challenge
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" }