Doc. Dr. Ing. Jan Černocký
| Soufifar, M., Cumani, S., Burget, L., Černocký, J.: Discriminative Classifiers for Phonotactic Language Recognition with iVectors, In: Proc. International Conference on Acoustics, Speech, and Signal Processing 2012, Kyoto, JP, IEEESP, 2012, p. 4853-4856, ISBN 978-1-4673-0044-5 | | Publication language: | english |
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| Original title: | Discriminative Classifiers for Phonotactic Language Recognition with iVectors |
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| Title (cs): | Diskriminativní klasifikátory pro fonotaktické rozpoznávání jazyka s i-vektory |
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| Pages: | 4853-4856 |
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| Proceedings: | Proc. International Conference on Acoustics, Speech, and Signal Processing 2012 |
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| Conference: | The 37th International Conference on Acoustics, Speech, and Signal Processing |
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| Place: | Kyoto, JP |
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| Year: | 2012 |
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| ISBN: | 978-1-4673-0044-5 |
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| Publisher: | IEEE Signal Processing Society |
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| URL: | http://www.fit.vutbr.cz/research/groups/speech/publi/2012/soufifar_icassp2012_0004853.pdf [PDF] |
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| Keywords |
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| Phonotactic iVector, Discriminative classifier,
Support vector machine, Logistic regression |
| Annotation |
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| The paper is about phonotactic models based on bags of n-grams representations and discriminative classifiers are a popular approach to the language recognition problem. |
| Abstract |
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| Phonotactic models based on bags of n-grams representations
and discriminative classifiers are a popular approach to
the language recognition problem. However, the large size
of n-gram count vectors brings about some difficulties in
discriminative classifiers. The subspace Multinomial model
was recently proposed to effectively represent information
contained in the n-grams using low-dimensional iVectors.
The availability of a low-dimensional feature vector allows
investigating different post-processing techniques and different
classifiers to improve recognition performance. In this
work, we analyze a set of discriminative classifiers based on
Support Vector Machines and Logistic Regression and we
propose an iVector post-processing technique which allows
to improve recognition performance. The proposed systems
are evaluated on the NIST LRE 2009 task. |
| BibTeX: |
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@INPROCEEDINGS{
author = {Mehdi Soufifar and Sandro Cumani and Lukáš Burget and Jan
Černocký},
title = {Discriminative Classifiers for Phonotactic Language
Recognition with iVectors},
pages = {4853--4856},
booktitle = {Proc. International Conference on Acoustics, Speech, and
Signal Processing 2012},
year = {2012},
location = {Kyoto, JP},
publisher = {IEEE Signal Processing Society},
ISBN = {978-1-4673-0044-5},
language = {english},
url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9909}
} |
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Faculty of Information Technology
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