Publication detail

iVector Approach to Phonotactic Language Recognition

SOUFIFAR, M. KOCKMANN, M. BURGET, L. PLCHOT, O. GLEMBEK, O. SVENDSEN, T.

Original Title

iVector Approach to Phonotactic Language Recognition

English Title

iVector Approach to Phonotactic Language Recognition

Type

conference paper

Language

en

Original Abstract

We proposed a novel method to extract the iVectors by means of subspace multinomial modelling of the n-gram counts. Using the proposed subspace model, the huge vector of the n-gram counts are represented by the low-dimensional iVector while preserving the discriminative power of the vector.

English abstract

We proposed a novel method to extract the iVectors by means of subspace multinomial modelling of the n-gram counts. Using the proposed subspace model, the huge vector of the n-gram counts are represented by the low-dimensional iVector while preserving the discriminative power of the vector.

Keywords

language recognition, subspace modeling, multinomial distribution

RIV year

2011

Released

27.08.2011

Publisher

International Speech Communication Association

Location

Florence

ISBN

978-1-61839-270-1

Book

Proceedings of Interspeech 2011

Edition

NEUVEDEN

Edition number

NEUVEDEN

Pages from

2913

Pages to

2916

Pages count

4

URL

Documents

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",
  annote="We proposed a novel method to extract the iVectors by means of subspace
multinomial modelling of the n-gram counts. Using the proposed subspace model,
the huge vector of the n-gram counts are represented by the low-dimensional
iVector while preserving the discriminative power of the vector.",
  address="International Speech Communication Association",
  booktitle="Proceedings of Interspeech 2011",
  chapter="76439",
  edition="NEUVEDEN",
  howpublished="print",
  institution="International Speech Communication Association",
  number="8",
  year="2011",
  month="august",
  pages="2913--2916",
  publisher="International Speech Communication Association",
  type="conference paper"
}