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
Type
conference paper
Language
English
Original Abstract
We have proposed a technique for discriminative training of thei-vector extractor parameters using cross-entropy as the errorfunction. We have applied the technique both to the originali-vector extractor and to its simplified version. In both cases,the discriminative training was effective, giving higher relativeimprovement in the simplified case.
Keywords
speaker verification, i-vectors, PLDA, discriminativetraining
Authors
GLEMBEK, O.; BURGET, L.; BRÜMMER, N.; PLCHOT, O.; MATĚJKA, P.
RIV year
2011
Released
27. 8. 2011
Publisher
International Speech Communication Association
Location
Florence
ISBN
978-1-61839-270-1
Book
Proceedings of Interspeech 2011
ISBN
1990-9772
Periodical
Proceedings of Interspeech
Year of study
2011
Number
8
State
French Republic
Pages from
137
Pages to
140
Pages count
4
URL
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",
booktitle="Proceedings of Interspeech 2011",
year="2011",
journal="Proceedings of Interspeech",
volume="2011",
number="8",
pages="137--140",
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/glembek_interspeech2011_386.pdf"
}