Detail publikačního výsledku

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

Anglický název

Independent Component Analysis and MLLR Transforms for Speaker Identification

Druh

Stať ve sborníku mimo WoS a Scopus

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.

Anglický 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

Klíčová slova v angličtině

Speaker Recognition, MLLR, ICA, PLDA,SVM

Autoři

CUMANI, S.; PLCHOT, O.; KARAFIÁT, M.

Rok RIV

2013

Vydáno

25.03.2012

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"
}