Publication detail

Independent Component Analysis and MLLR Transforms for Speaker Identification

CUMANI, S. PLCHOT, O. KARAFIÁT, M.

Original Title

Independent Component Analysis and MLLR Transforms for Speaker Identification

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

This paper describes the use of of Independent Component Analysis (ICA) and Principal Component Analysis (PCA) techniques to reduce the dimensionality of high-level LVCSR features.

Keywords

Speaker Recognition, MLLR, ICA, PLDA, SVM

Authors

CUMANI, S.; PLCHOT, O.; KARAFIÁT, M.

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

4365

Pages to

4368

Pages count

4

URL

http://www.fit.vutbr.cz/research/groups/speech/publi/2012/cumani_icassp2012_0004365.pdf

BibTex

@inproceedings{BUT91483,
  author="Sandro {Cumani} and Oldřich {Plchot} and Martin {Karafiát}",
  title="Independent Component Analysis and MLLR Transforms for Speaker Identification",
  booktitle="Proc. International Conference on Acoustics, Speech, and Signal P",
  year="2012",
  pages="4365--4368",
  publisher="IEEE Signal Processing Society",
  address="Kyoto",
  doi="10.1109/ICASSP.2012.6288886",
  isbn="978-1-4673-0044-5",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2012/cumani_icassp2012_0004365.pdf"
}