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
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.
Dokumenty
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"
}