Faculty of Information Technology, BUT

Publication Details

Factorization of Discriminatively Trained i-Vector Extractor for Speaker Recognition

NOVOTNÝ Ondřej, PLCHOT Oldřich, GLEMBEK Ondřej and BURGET Lukáš. Factorization of Discriminatively Trained i-Vector Extractor for Speaker Recognition. In: Proceedings of Interspeech. Graz: International Speech Communication Association, 2019, pp. 4330-4334. ISSN 1990-9772. Available from: https://www.isca-speech.org/archive/Interspeech_2019/pdfs/1757.pdf
Czech title
Faktorizace diskriminativně trénovaného extraktoru i-vektorů pro rozpoznávání mluvčího
Type
conference paper
Language
english
Authors
URL
Keywords
SRE
Abstract
In this work, we continue in our research on i-vector extractor for speaker verification (SV) and we optimize its architecture for fast and effective discriminative training. We were motivated by computational and memory requirements caused by the large number of parameters of the original generative ivector model. Our aim is to preserve the power of the original generative model, and at the same time focus the model towards extraction of speaker-related information. We show that it is possible to represent a standard generative i-vector extractor by a model with significantly less parameters and obtain similar performance on SV tasks. We can further refine this compact model by discriminative training and obtain i-vectors that lead to better performance on various SV benchmarks representing different acoustic domains.
Published
2019
Pages
4330-4334
Journal
Proceedings of Interspeech, vol. 2019, no. 9, ISSN 1990-9772
Proceedings
Proceedings of Interspeech
Conference
INTERSPEECH 2019, INTERSPEECH 2019, AT
Publisher
International Speech Communication Association
Place
Graz, AT
DOI
BibTeX
@INPROCEEDINGS{FITPUB12091,
   author = "Ond\v{r}ej Novotn\'{y} and Old\v{r}ich Plchot and Ond\v{r}ej Glembek and Luk\'{a}\v{s} Burget",
   title = "Factorization of Discriminatively Trained i-Vector Extractor for Speaker Recognition",
   pages = "4330--4334",
   booktitle = "Proceedings of Interspeech",
   journal = "Proceedings of Interspeech",
   volume = 2019,
   number = 9,
   year = 2019,
   location = "Graz, AT",
   publisher = "International Speech Communication Association",
   ISSN = "1990-9772",
   doi = "10.21437/Interspeech.2019-1757",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12091"
}
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