Detail publikace

iVector Approach to Phonotactic Language Recognition

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

Originální název

iVector Approach to Phonotactic Language Recognition

Anglický název

iVector Approach to Phonotactic Language Recognition

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

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"
}