Faculty of Information Technology, BUT

Publication Details

Analysis Of DNN Approaches To Speaker Identification

MATĚJKA Pavel, GLEMBEK Ondřej, NOVOTNÝ Ondřej, PLCHOT Oldřich, GRÉZL František, BURGET Lukáš and ČERNOCKÝ Jan. Analysis Of DNN Approaches To Speaker Identification. In: Proceedings of the 41th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), 2016. Shanghai: IEEE Signal Processing Society, 2016, pp. 5100-5104. ISBN 978-1-4799-9988-0.
Czech title
Analýza DNN přístupů k identifikaci mluvčího
Type
conference paper
Language
english
Authors
URL
Keywords
automatic speaker identification, deep neural networks, bottleneck features, i-vector
Abstract
We have analyzed the i-vector based systems with Deep Neural Network (DNN) Bottleneck (BN) features together with the traditional MFCC features, and we have demonstrated substantial gain for NIST SRE 2010, telephone condition.
Annotation
This work studies the usage of the Deep Neural Network (DNN) Bottleneck (BN) features together with the traditional MFCC features in the task of i-vector-based speaker recognition. We decouple the sufficient statistics extraction by using separate GMM models for frame alignment, and for statistics normalization and we analyze the usage of BN and MFCC features (and their concatenation) in the two stages. We also show the effect of using full-covariance GMM models, and, as a contrast, we compare the result to the recent DNNalignment approach. On the NIST SRE2010, telephone condition, we show 60% relative gain over the traditional MFCC baseline for EER (and similar for the NIST DCF metrics), resulting in 0.94% EER.
Published
2016
Pages
5100-5104
Proceedings
Proceedings of the 41th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), 2016
Conference
41th IEEE International Conference on Acoustics, Speech and Signal Processing, Shanghai, CN
ISBN
978-1-4799-9988-0
Publisher
IEEE Signal Processing Society
Place
Shanghai, CN
DOI
BibTeX
@INPROCEEDINGS{FITPUB11140,
   author = "Pavel Mat\v{e}jka and Ond\v{r}ej Glembek and Ond\v{r}ej Novotn\'{y} and Old\v{r}ich Plchot and Franti\v{s}ek Gr\'{e}zl and Luk\'{a}\v{s} Burget and Jan \v{C}ernock\'{y}",
   title = "Analysis Of DNN Approaches To Speaker Identification",
   pages = "5100--5104",
   booktitle = "Proceedings of the 41th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), 2016",
   year = 2016,
   location = "Shanghai, CN",
   publisher = "IEEE Signal Processing Society",
   ISBN = "978-1-4799-9988-0",
   doi = "10.1109/ICASSP.2016.7472649",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11140"
}
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