Publication detail

Discriminatively Trained i-vector Extractor for Speaker Verification

GLEMBEK, O. BURGET, L. BRÜMMER, N. PLCHOT, O. MATĚJKA, P.

Original Title

Discriminatively Trained i-vector Extractor for Speaker Verification

English Title

Discriminatively Trained i-vector Extractor for Speaker Verification

Type

conference paper

Language

en

Original Abstract

We have proposed a technique for discriminative training of the i-vector extractor parameters using cross-entropy as the error function. We have applied the technique both to the original i-vector extractor and to its simplified version. In both cases, the discriminative training was effective, giving higher relative improvement in the simplified case.

English abstract

We have proposed a technique for discriminative training of the i-vector extractor parameters using cross-entropy as the error function. We have applied the technique both to the original i-vector extractor and to its simplified version. In both cases, the discriminative training was effective, giving higher relative improvement in the simplified case.

Keywords

speaker verification, i-vectors, PLDA, discriminative training

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

137

Pages to

140

Pages count

4

URL

Documents

BibTex


@inproceedings{BUT76447,
  author="Ondřej {Glembek} and Lukáš {Burget} and Niko {Brümmer} and Oldřich {Plchot} and Pavel {Matějka}",
  title="Discriminatively Trained i-vector Extractor for Speaker Verification",
  annote="We have proposed a technique for discriminative training of the i-vector
extractor parameters using cross-entropy as the error function. We have applied
the technique both to the original i-vector extractor and to its simplified
version. In both cases, the discriminative training was effective, giving higher
relative improvement in the simplified case.",
  address="International Speech Communication Association",
  booktitle="Proceedings of Interspeech 2011",
  chapter="76447",
  edition="NEUVEDEN",
  howpublished="print",
  institution="International Speech Communication Association",
  number="8",
  year="2011",
  month="august",
  pages="137--140",
  publisher="International Speech Communication Association",
  type="conference paper"
}