Publication detail

Towards Noise-Robust Speaker Recognition Using Probabilistic Linear Discriminant Analysis

LEI, Y. BURGET, L. FERRER, L. GRACIARENA, M. SCHEFFER, N.

Original Title

Towards Noise-Robust Speaker Recognition Using Probabilistic Linear Discriminant Analysis

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

We show results on a newly designed noisy corpus for speaker recognition where real recordings of babble noise were added to original NIST SRE clean speech data.

Keywords

Speaker Recognition, noise, robustness, i-vector, PLDA

Authors

LEI, Y.; BURGET, L.; FERRER, L.; GRACIARENA, M.; SCHEFFER, N.

RIV year

2012

Released

25. 3. 2012

Publisher

IEEE Signal Processing Society

Location

Kyoto

ISBN

978-1-4673-0044-5

Book

Proc. International Conference on Acoustics, Speech, and Signal P

Pages from

4253

Pages to

4256

Pages count

4

URL

http://www.fit.vutbr.cz/research/groups/speech/publi/2012/lei_icassp2012_0004253.pdf

BibTex

@inproceedings{BUT91503,
  author="Yun {Lei} and Lukáš {Burget} and Luciana {Ferrer} and Martin {Graciarena} and Nicolas {Scheffer}",
  title="Towards Noise-Robust Speaker Recognition Using Probabilistic Linear Discriminant Analysis",
  booktitle="Proc. International Conference on Acoustics, Speech, and Signal P",
  year="2012",
  pages="4253--4256",
  publisher="IEEE Signal Processing Society",
  address="Kyoto",
  doi="10.1109/ICASSP.2012.6288858",
  isbn="978-1-4673-0044-5",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2012/lei_icassp2012_0004253.pdf"
}