Result Details

iVector Approach to Phonotactic Language Recognition

SOUFIFAR, M.; KOCKMANN, M.; BURGET, L.; PLCHOT, O.; GLEMBEK, O.; SVENDSEN, T. iVector Approach to Phonotactic Language Recognition. In Proceedings of Interspeech 2011. Proceedings of Interspeech. Florence: International Speech Communication Association, 2011. no. 8, p. 2913-2916. ISBN: 978-1-61839-270-1. ISSN: 1990-9772.
Type
conference paper
Language
English
Authors
Soufifar Mehdi Mohammad, Ing., DCGM (FIT)
Kockmann Marcel, Dipl.-Ing., Ph.D., FIT (FIT)
Burget Lukáš, doc. Ing., Ph.D., DCGM (FIT)
Plchot Oldřich, Ing., Ph.D., DCGM (FIT)
Glembek Ondřej, Ing., Ph.D., DCGM (FIT)
Svendsen Torbjorn
Abstract

We proposed a novel method to extract the iVectors by meansof subspace multinomial modelling of the n-gram counts. Usingthe proposed subspace model, the huge vector of the n-gramcounts are represented by the low-dimensional iVector whilepreserving the discriminative power of the vector.

Keywords

language recognition, subspace modeling, multinomialdistribution

URL
Annotation

This paper addresses a novel technique for representation and processing of n-gram counts in phonotactic language recognition (LRE): subspace multinomial modelling represents the vectors of n-gram counts by low dimensional vectors of coordinates in total variability subspace, called iVector. Two techniques for iVector scoring are tested: support vector machines (SVM), and logistic regression (LR). Using standard NIST LRE 2009 task as our evaluation set, the latter scoring approach was shown to outperform phonotactic LRE system based on direct SVM classification of n-gram count vectors. The proposed iVector paradigm also shows comparable results to previously proposed PCA-based phonotactic feature extraction.

Published
2011
Pages
2913–2916
Journal
Proceedings of Interspeech, vol. 2011, no. 8, ISSN 1990-9772
Proceedings
Proceedings of Interspeech 2011
Conference
Interspeech Conference
ISBN
978-1-61839-270-1
Publisher
International Speech Communication Association
Place
Florence
EID Scopus
2-s2.0-84865703431
BibTeX 
@inproceedings{BUT76439,
  author="Mehdi Mohammad {Soufifar} and Marcel {Kockmann} and Lukáš {Burget} and Oldřich {Plchot} and Ondřej {Glembek} and Torbjorn {Svendsen}",
  title="iVector Approach to Phonotactic Language Recognition",
  booktitle="Proceedings of Interspeech 2011",
  year="2011",
  journal="Proceedings of Interspeech",
  volume="2011",
  number="8",
  pages="2913--2916",
  publisher="International Speech Communication Association",
  address="Florence",
  isbn="978-1-61839-270-1",
  issn="1990-9772",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2011/soufifar_interspeech2011_703.pdf"
}
Projects
DARPA Robust Automatic Transcription of Speech (RATS) - RATS Patrol I, BBN, start: 2010-09-23, end: 2014-06-30, completed
Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running
Research groups
Speech Data Mining Research Group BUT Speech@FIT (RG SPEECH)
Departments
Department of Computer Graphics and Multimedia (DCGM)
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