Publication Details
On the use of X-vectors for Robust Speaker Recognition
NOVOTNÝ Ondřej, PLCHOT Oldřich, MATĚJKA Pavel, MOŠNER Ladislav and GLEMBEK Ondřej. On the use of X-vectors for Robust Speaker Recognition. In: Proceedings of Odyssey 2018. Les Sables d´Olonne: International Speech Communication Association, 2018, pp. 168-175. ISSN 2312-2846.
Czech title
K použití x-vektorů pro robustní rozpoznávání mluvčího
Type
conference paper
Language
english
Authors
Novotný Ondřej, Ing. (DCGM FIT BUT)
Plchot Oldřich, Ing., Ph.D. (DCGM FIT BUT)
Matějka Pavel, Ing., Ph.D. (DCGM FIT BUT)
Mošner Ladislav, Ing. (DCGM FIT BUT)
Glembek Ondřej, Ing., Ph.D. (DCGM FIT BUT)
Plchot Oldřich, Ing., Ph.D. (DCGM FIT BUT)
Matějka Pavel, Ing., Ph.D. (DCGM FIT BUT)
Mošner Ladislav, Ing. (DCGM FIT BUT)
Glembek Ondřej, Ing., Ph.D. (DCGM FIT BUT)
URL
Keywords
Speaker Recognition, Embedding, X-vectors, DNN
Abstract
Text-independent speaker verification (SV) is currently in the
process of embracing DNN modeling in every stage of SV system.
Slowly, the DNN-based approaches such as end-to-end
modelling and systems based on DNN embeddings start to be
competitive even in challenging and diverse channel conditions
of recent NIST SREs. Domain adaptation and the need for a large amount of training data are still a challenge for current
discriminative systems and (unlike with generative models), we
see significant gains from data augmentation, simulation and
other techniques designed to overcome lack of training data.
We present an analysis of a SV system based on DNN embeddings
(x-vectors) and focus on robustness across diverse data
domains such as standard telephone and microphone conversations,
both in clean, noisy and reverberant environments. We
also evaluate the system on challenging far-field data created
by re-transmitting a subset of NIST SRE 2008 and 2010 microphone
interviews. We compare our results with the stateof-
the-art i-vector system. In general, we were able to achieve
better performance with the DNN-based systems, but most importantly,
we have confirmed the robustness of such systems
across multiple data domains.
Published
2018
Pages
168-175
Journal
Proceedings of Odyssey: The Speaker and Language Recognition Workshop, vol. 2018, no. 6, ISSN 2312-2846
Proceedings
Proceedings of Odyssey 2018
Conference
Odyssey 2018, Les Sables d'Olonne, France, FR
Publisher
International Speech Communication Association
Place
Les Sables d´Olonne, FR
DOI
BibTeX
@INPROCEEDINGS{FITPUB11787,
author = "Ond\v{r}ej Novotn\'{y} and Old\v{r}ich Plchot and Pavel Mat\v{e}jka and Ladislav Mo\v{s}ner and Ond\v{r}ej Glembek",
title = "On the use of X-vectors for Robust Speaker Recognition",
pages = "168--175",
booktitle = "Proceedings of Odyssey 2018",
journal = "Proceedings of Odyssey: The Speaker and Language Recognition Workshop",
volume = 2018,
number = 6,
year = 2018,
location = "Les Sables dOlonne, FR",
publisher = "International Speech Communication Association",
ISSN = "2312-2846",
doi = "10.21437/Odyssey.2018-24",
language = "english",
url = "https://www.fit.vut.cz/research/publication/11787"
}