Detail publikace

Independent Component Analysis and MLLR Transforms for Speaker Identification

Originální název

Independent Component Analysis and MLLR Transforms for Speaker Identification

Anglický název

Independent Component Analysis and MLLR Transforms for Speaker Identification

Jazyk

en

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.

BibTex 


@inproceedings{BUT91483,
  author="Sandro {Cumani} and Oldřich {Plchot} and Martin {Karafiát}",
  title="Independent Component Analysis and MLLR Transforms for Speaker Identification",
  annote="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.",
  address="IEEE Signal Processing Society",
  booktitle="Proc. International Conference on Acoustics, Speech, and Signal P",
  chapter="91483",
  doi="10.1109/ICASSP.2012.6288886",
  edition="NEUVEDEN",
  howpublished="print",
  institution="IEEE Signal Processing Society",
  year="2012",
  month="march",
  pages="4365--4368",
  publisher="IEEE Signal Processing Society",
  type="conference paper"
}