Detail publikace

Independent Component Analysis and MLLR Transforms for Speaker Identification

CUMANI, S. PLCHOT, O. KARAFIÁT, M.

Originální název

Independent Component Analysis and MLLR Transforms for Speaker Identification

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Speaker Recognition, MLLR, ICA, PLDA, SVM

Autoři

CUMANI, S.; PLCHOT, O.; KARAFIÁT, M.

Rok RIV

2012

Vydáno

25. 3. 2012

Nakladatel

IEEE Signal Processing Society

Místo

Kyoto

ISBN

978-1-4673-0044-5

Kniha

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

Strany od

4365

Strany do

4368

Strany počet

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"
}