---
_id: '11866'
abstract:
- lang: eng
text: In this work, a splitting and weighting scheme that allows for splitting a
Gaussian density into a Gaussian mixture density (GMM) is extended to allow the
mixture components to be arranged along arbitrary directions. The parameters of
the Gaussian mixture are chosen such that the GMM and the original Gaussian still
exhibit equal central moments up to an order of four. The resulting mixtures{\rq}
covariances will have eigenvalues that are smaller than those of the covariance
of the original distribution, which is a desirable property in the context of
non-linear state estimation, since the underlying assumptions of the extended
K ALMAN filter are better justified in this case. Application to speech feature
enhancement in the context of noise-robust automatic speech recognition reveals
the beneficial properties of the proposed approach in terms of a reduced word
error rate on the Aurora 2 recognition task.
author:
- first_name: Volker
full_name: Leutnant, Volker
last_name: Leutnant
- first_name: Alexander
full_name: Krueger, Alexander
last_name: Krueger
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Leutnant V, Krueger A, Haeb-Umbach R. A versatile Gaussian splitting approach
to non-linear state estimation and its application to noise-robust ASR. In: Interspeech
2011. ; 2011.'
apa: Leutnant, V., Krueger, A., & Haeb-Umbach, R. (2011). A versatile Gaussian
splitting approach to non-linear state estimation and its application to noise-robust
ASR. In Interspeech 2011.
bibtex: '@inproceedings{Leutnant_Krueger_Haeb-Umbach_2011, title={A versatile Gaussian
splitting approach to non-linear state estimation and its application to noise-robust
ASR}, booktitle={Interspeech 2011}, author={Leutnant, Volker and Krueger, Alexander
and Haeb-Umbach, Reinhold}, year={2011} }'
chicago: Leutnant, Volker, Alexander Krueger, and Reinhold Haeb-Umbach. “A Versatile
Gaussian Splitting Approach to Non-Linear State Estimation and Its Application
to Noise-Robust ASR.” In Interspeech 2011, 2011.
ieee: V. Leutnant, A. Krueger, and R. Haeb-Umbach, “A versatile Gaussian splitting
approach to non-linear state estimation and its application to noise-robust ASR,”
in Interspeech 2011, 2011.
mla: Leutnant, Volker, et al. “A Versatile Gaussian Splitting Approach to Non-Linear
State Estimation and Its Application to Noise-Robust ASR.” Interspeech 2011,
2011.
short: 'V. Leutnant, A. Krueger, R. Haeb-Umbach, in: Interspeech 2011, 2011.'
date_created: 2019-07-12T05:29:46Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2011/LeKrHa11.pdf
oa: '1'
publication: Interspeech 2011
status: public
title: A versatile Gaussian splitting approach to non-linear state estimation and
its application to noise-robust ASR
type: conference
user_id: '44006'
year: '2011'
...