Detail publikace

PCA-based Feature Extraction for Phonotactic Language Recognition

MIKOLOV, T. PLCHOT, O. GLEMBEK, O. MATĚJKA, P. BURGET, L. ČERNOCKÝ, J.

Originální název

PCA-based Feature Extraction for Phonotactic Language Recognition

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper is on PCA-based Feature Extraction for Phonotactic Language Recognition. This technique improves speed of the training, in some cases more than 1000 times.

Klíčová slova

speech, language recognition, automatic recognition, large amounts of data.

Autoři

MIKOLOV, T.; PLCHOT, O.; GLEMBEK, O.; MATĚJKA, P.; BURGET, L.; ČERNOCKÝ, J.

Rok RIV

2010

Vydáno

25. 6. 2010

Nakladatel

International Speech Communication Association

Místo

Brno

ISBN

978-80-214-4114-9

Kniha

Proc. Odyssey 2010 - The Speaker and Language Recognition Workshop

Strany od

251

Strany do

255

Strany počet

5

URL

http://www.fit.vutbr.cz/research/groups/speech/publi/2010/mikolov_odys2010.pdf

BibTex

@inproceedings{BUT34853,
  author="Tomáš {Mikolov} and Oldřich {Plchot} and Ondřej {Glembek} and Pavel {Matějka} and Lukáš {Burget} and Jan {Černocký}",
  title="PCA-based Feature Extraction for Phonotactic Language Recognition",
  booktitle="Proc. Odyssey 2010 - The Speaker and Language Recognition Workshop",
  year="2010",
  pages="251--255",
  publisher="International Speech Communication Association",
  address="Brno",
  isbn="978-80-214-4114-9",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2010/mikolov_odys2010.pdf"
}