---
_id: '11807'
author:
- first_name: Tobias
full_name: Herbig, Tobias
last_name: Herbig
- first_name: Franz
full_name: Gerl, Franz
last_name: Gerl
- first_name: Wolfgang
full_name: Minker, Wolfgang
last_name: Minker
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: Herbig T, Gerl F, Minker W, Haeb-Umbach R. Adaptive Systems for Unsupervised
Speaker Tracking and Speech Recognition. Evolving Systems. 2011;2(3):199-214.
apa: Herbig, T., Gerl, F., Minker, W., & Haeb-Umbach, R. (2011). Adaptive Systems
for Unsupervised Speaker Tracking and Speech Recognition. Evolving Systems,
2(3), 199–214.
bibtex: '@article{Herbig_Gerl_Minker_Haeb-Umbach_2011, title={Adaptive Systems for
Unsupervised Speaker Tracking and Speech Recognition}, volume={2}, number={3},
journal={Evolving Systems}, author={Herbig, Tobias and Gerl, Franz and Minker,
Wolfgang and Haeb-Umbach, Reinhold}, year={2011}, pages={199–214} }'
chicago: 'Herbig, Tobias, Franz Gerl, Wolfgang Minker, and Reinhold Haeb-Umbach.
“Adaptive Systems for Unsupervised Speaker Tracking and Speech Recognition.” Evolving
Systems 2, no. 3 (2011): 199–214.'
ieee: T. Herbig, F. Gerl, W. Minker, and R. Haeb-Umbach, “Adaptive Systems for Unsupervised
Speaker Tracking and Speech Recognition,” Evolving Systems, vol. 2, no.
3, pp. 199–214, 2011.
mla: Herbig, Tobias, et al. “Adaptive Systems for Unsupervised Speaker Tracking
and Speech Recognition.” Evolving Systems, vol. 2, no. 3, 2011, pp. 199–214.
short: T. Herbig, F. Gerl, W. Minker, R. Haeb-Umbach, Evolving Systems 2 (2011)
199–214.
date_created: 2019-07-12T05:28:38Z
date_updated: 2022-01-06T06:51:09Z
department:
- _id: '54'
intvolume: ' 2'
issue: '3'
language:
- iso: eng
page: 199-214
publication: Evolving Systems
status: public
title: Adaptive Systems for Unsupervised Speaker Tracking and Speech Recognition
type: journal_article
user_id: '44006'
volume: 2
year: '2011'
...
---
_id: '11843'
abstract:
- lang: eng
text: Employing automatic speech recognition systems in hands-free communication
applications is accompanied by perfomance degradation due to background noise
and, in particular, due to reverberation. These two kinds of distortion alter
the shape of the feature vector trajectory extracted from the microphone signal
and consequently lead to a discrepancy between training and testing conditions
for the recognizer. In this chapter we present a feature enhancement approach
aiming at the joint compensation of noise and reverberation to improve the performance
by restoring the training conditions. For the enhancement we concentrate on the
logarithmic mel power spectral coefficients as features, which are computed at
an intermediate stage to obtain the widely used mel frequency cepstral coefficients.
The proposed technique is based on a Bayesian framework, to attempt to infer the
posterior distribution of the clean features given the observation of all past
corrupted features. It exploits information from a priori models describing the
dynamics of clean speech and noise-only feature vector trajectories as well as
from an observation model relating the reverberant noisy to the clean features.
The observation model relies on a simplified stochastic model of the room impulse
response (RIR) between the speaker and the microphone, having only two parameters,
namely RIR energy and reverberation time, which can be estimated from the captured
microphone signal. The performance of the proposed enhancement technique is finally
experimentally studied by means of recognition accuracy obtained for a connected
digits recognition task under different noise and reverberation conditions using
the Aurora~5 database.
author:
- 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: 'Krueger A, Haeb-Umbach R. A Model-Based Approach to Joint Compensation of
Noise and Reverberation for Speech Recognition. In: Haeb-Umbach R, Kolossa D,
eds. Robust Speech Recognition of Uncertain or Missing Data. Springer;
2011.'
apa: Krueger, A., & Haeb-Umbach, R. (2011). A Model-Based Approach to Joint
Compensation of Noise and Reverberation for Speech Recognition. In R. Haeb-Umbach
& D. Kolossa (Eds.), Robust Speech Recognition of Uncertain or Missing
Data. Springer.
bibtex: '@inbook{Krueger_Haeb-Umbach_2011, title={A Model-Based Approach to Joint
Compensation of Noise and Reverberation for Speech Recognition}, booktitle={Robust
Speech Recognition of Uncertain or Missing Data}, publisher={Springer}, author={Krueger,
Alexander and Haeb-Umbach, Reinhold}, editor={Haeb-Umbach, Reinhold and Kolossa,
DorotheaEditors}, year={2011} }'
chicago: Krueger, Alexander, and Reinhold Haeb-Umbach. “A Model-Based Approach to
Joint Compensation of Noise and Reverberation for Speech Recognition.” In Robust
Speech Recognition of Uncertain or Missing Data, edited by Reinhold Haeb-Umbach
and Dorothea Kolossa. Springer, 2011.
ieee: A. Krueger and R. Haeb-Umbach, “A Model-Based Approach to Joint Compensation
of Noise and Reverberation for Speech Recognition,” in Robust Speech Recognition
of Uncertain or Missing Data, R. Haeb-Umbach and D. Kolossa, Eds. Springer,
2011.
mla: Krueger, Alexander, and Reinhold Haeb-Umbach. “A Model-Based Approach to Joint
Compensation of Noise and Reverberation for Speech Recognition.” Robust Speech
Recognition of Uncertain or Missing Data, edited by Reinhold Haeb-Umbach and
Dorothea Kolossa, Springer, 2011.
short: 'A. Krueger, R. Haeb-Umbach, in: R. Haeb-Umbach, D. Kolossa (Eds.), Robust
Speech Recognition of Uncertain or Missing Data, Springer, 2011.'
date_created: 2019-07-12T05:29:20Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
editor:
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
last_name: Haeb-Umbach
- first_name: Dorothea
full_name: Kolossa, Dorothea
last_name: Kolossa
language:
- iso: eng
publication: Robust Speech Recognition of Uncertain or Missing Data
publisher: Springer
status: public
title: A Model-Based Approach to Joint Compensation of Noise and Reverberation for
Speech Recognition
type: book_chapter
user_id: '44006'
year: '2011'
...
---
_id: '11845'
abstract:
- lang: eng
text: The paper proposes a modification of the standard maximum a posteriori (MAP)
method for the estimation of the parameters of a Gaussian process for cases where
the process is superposed by additive Gaussian observation errors of known variance.
Simulations on artificially generated data demonstrate the superiority of the
proposed method. While reducing to the ordinary MAP approach in the absence of
observation noise, the improvement becomes the more pronounced the larger the
variance of the observation noise. The method is further extended to track the
parameters in case of non-stationary Gaussian processes.
author:
- 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: 'Krueger A, Haeb-Umbach R. MAP-based estimation of the parameters of non-stationary
Gaussian processes from noisy observations. In: IEEE International Conference
on Acoustics, Speech and Signal Processing (ICASSP 2011). ; 2011:3596-3599.
doi:10.1109/ICASSP.2011.5946256'
apa: Krueger, A., & Haeb-Umbach, R. (2011). MAP-based estimation of the parameters
of non-stationary Gaussian processes from noisy observations. In IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP 2011) (pp. 3596–3599).
https://doi.org/10.1109/ICASSP.2011.5946256
bibtex: '@inproceedings{Krueger_Haeb-Umbach_2011, title={MAP-based estimation of
the parameters of non-stationary Gaussian processes from noisy observations},
DOI={10.1109/ICASSP.2011.5946256},
booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP 2011)}, author={Krueger, Alexander and Haeb-Umbach, Reinhold}, year={2011},
pages={3596–3599} }'
chicago: Krueger, Alexander, and Reinhold Haeb-Umbach. “MAP-Based Estimation of
the Parameters of Non-Stationary Gaussian Processes from Noisy Observations.”
In IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP 2011), 3596–99, 2011. https://doi.org/10.1109/ICASSP.2011.5946256.
ieee: A. Krueger and R. Haeb-Umbach, “MAP-based estimation of the parameters of
non-stationary Gaussian processes from noisy observations,” in IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), 2011,
pp. 3596–3599.
mla: Krueger, Alexander, and Reinhold Haeb-Umbach. “MAP-Based Estimation of the
Parameters of Non-Stationary Gaussian Processes from Noisy Observations.” IEEE
International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011),
2011, pp. 3596–99, doi:10.1109/ICASSP.2011.5946256.
short: 'A. Krueger, R. Haeb-Umbach, in: IEEE International Conference on Acoustics,
Speech and Signal Processing (ICASSP 2011), 2011, pp. 3596–3599.'
date_created: 2019-07-12T05:29:22Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
doi: 10.1109/ICASSP.2011.5946256
keyword:
- Gaussian processes
- MAP-based estimation
- maximum a posteriori method
- maximum likelihood estimation
- nonstationary Gaussian processes
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2011/KrHa11.pdf
oa: '1'
page: 3596-3599
publication: IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP 2011)
status: public
title: MAP-based estimation of the parameters of non-stationary Gaussian processes
from noisy observations
type: conference
user_id: '44006'
year: '2011'
...
---
_id: '11850'
abstract:
- lang: eng
text: In this paper, we present a novel blocking matrix and fixed beamformer design
for a generalized sidelobe canceler for speech enhancement in a reverberant enclosure.
They are based on a new method for estimating the acoustical transfer function
ratios in the presence of stationary noise. The estimation method relies on solving
a generalized eigenvalue problem in each frequency bin. An adaptive eigenvector
tracking utilizing the power iteration method is employed and shown to achieve
a high convergence speed. Simulation results demonstrate that the proposed beamformer
leads to better noise and interference reduction and reduced speech distortions
compared to other blocking matrix designs from the literature.
author:
- first_name: Alexander
full_name: Krueger, Alexander
last_name: Krueger
- first_name: Ernst
full_name: Warsitz, Ernst
last_name: Warsitz
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: Krueger A, Warsitz E, Haeb-Umbach R. Speech Enhancement With a GSC-Like Structure
Employing Eigenvector-Based Transfer Function Ratios Estimation. IEEE Transactions
on Audio, Speech, and Language Processing. 2011;19(1):206-219. doi:10.1109/TASL.2010.2047324
apa: Krueger, A., Warsitz, E., & Haeb-Umbach, R. (2011). Speech Enhancement
With a GSC-Like Structure Employing Eigenvector-Based Transfer Function Ratios
Estimation. IEEE Transactions on Audio, Speech, and Language Processing,
19(1), 206–219. https://doi.org/10.1109/TASL.2010.2047324
bibtex: '@article{Krueger_Warsitz_Haeb-Umbach_2011, title={Speech Enhancement With
a GSC-Like Structure Employing Eigenvector-Based Transfer Function Ratios Estimation},
volume={19}, DOI={10.1109/TASL.2010.2047324},
number={1}, journal={IEEE Transactions on Audio, Speech, and Language Processing},
author={Krueger, Alexander and Warsitz, Ernst and Haeb-Umbach, Reinhold}, year={2011},
pages={206–219} }'
chicago: 'Krueger, Alexander, Ernst Warsitz, and Reinhold Haeb-Umbach. “Speech Enhancement
With a GSC-Like Structure Employing Eigenvector-Based Transfer Function Ratios
Estimation.” IEEE Transactions on Audio, Speech, and Language Processing
19, no. 1 (2011): 206–19. https://doi.org/10.1109/TASL.2010.2047324.'
ieee: A. Krueger, E. Warsitz, and R. Haeb-Umbach, “Speech Enhancement With a GSC-Like
Structure Employing Eigenvector-Based Transfer Function Ratios Estimation,” IEEE
Transactions on Audio, Speech, and Language Processing, vol. 19, no. 1, pp.
206–219, 2011.
mla: Krueger, Alexander, et al. “Speech Enhancement With a GSC-Like Structure Employing
Eigenvector-Based Transfer Function Ratios Estimation.” IEEE Transactions on
Audio, Speech, and Language Processing, vol. 19, no. 1, 2011, pp. 206–19,
doi:10.1109/TASL.2010.2047324.
short: A. Krueger, E. Warsitz, R. Haeb-Umbach, IEEE Transactions on Audio, Speech,
and Language Processing 19 (2011) 206–219.
date_created: 2019-07-12T05:29:28Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
doi: 10.1109/TASL.2010.2047324
intvolume: ' 19'
issue: '1'
keyword:
- acoustical transfer function ratio
- adaptive eigenvector tracking
- array signal processing
- beamformer design
- blocking matrix
- eigenvalues and eigenfunctions
- eigenvector-based transfer function ratios estimation
- generalized sidelobe canceler
- interference reduction
- iterative methods
- power iteration method
- reduced speech distortions
- reverberant enclosure
- reverberation
- speech enhancement
- stationary noise
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2011/KrWaHa11.pdf
oa: '1'
page: 206-219
publication: IEEE Transactions on Audio, Speech, and Language Processing
status: public
title: Speech Enhancement With a GSC-Like Structure Employing Eigenvector-Based Transfer
Function Ratios Estimation
type: journal_article
user_id: '44006'
volume: 19
year: '2011'
...
---
_id: '11856'
abstract:
- lang: eng
text: 'In this contribution, conditional Bayesian estimation employing a phase-sensitive
observation model for noise robust speech recognition will be studied. After a
review of speech recognition under the presence of corrupted features, termed
uncertainty decoding, the estimation of the posterior distribution of the uncorrupted
(clean) feature vector will be shown to be a key element of noise robust speech
recognition. The estimation process will be based on three major components: an
a priori model of the unobservable data, an observation model relating the unobservable
data to the corrupted observation and an inference algorithm, finally allowing
for a computationally tractable solution. Special stress will be laid on a detailed
derivation of the phase-sensitive observation model and the required moments of
the phase factor distribution. Thereby, it will not only be proven analytically
that the phase factor distribution is non-Gaussian but also that all central moments
can (approximately) be computed solely based on the used mel filter bank, finally
rendering the moments independent of noise type and signal-to-noise ratio. The
phase-sensitive observation model will then be incorporated into a model-based
feature enhancement scheme and recognition experiments will be carried out on
the Aurora~2 and Aurora~4 databases. The importance of incorporating phase factor
information into the enhancement scheme is pointed out by all recognition results.
Application of the proposed scheme under the derived uncertainty decoding framework
further leads to significant improvements in both recognition tasks, eventually
reaching the performance achieved with the ETSI advanced front-end.'
author:
- first_name: Volker
full_name: Leutnant, Volker
last_name: Leutnant
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Leutnant V, Haeb-Umbach R. Conditional Bayesian Estimation Employing a Phase-Sensitive
Observation Model for Noise Robust Speech Recognition. In: Haeb-Umbach R, Kolossa
D, eds. Robust Speech Recognition of Uncertain or Missing Data. Springer;
2011.'
apa: Leutnant, V., & Haeb-Umbach, R. (2011). Conditional Bayesian Estimation
Employing a Phase-Sensitive Observation Model for Noise Robust Speech Recognition.
In R. Haeb-Umbach & D. Kolossa (Eds.), Robust Speech Recognition of Uncertain
or Missing Data. Springer.
bibtex: '@inbook{Leutnant_Haeb-Umbach_2011, title={Conditional Bayesian Estimation
Employing a Phase-Sensitive Observation Model for Noise Robust Speech Recognition},
booktitle={Robust Speech Recognition of Uncertain or Missing Data}, publisher={Springer},
author={Leutnant, Volker and Haeb-Umbach, Reinhold}, editor={Haeb-Umbach, Reinhold
and Kolossa, DorotheaEditors}, year={2011} }'
chicago: Leutnant, Volker, and Reinhold Haeb-Umbach. “Conditional Bayesian Estimation
Employing a Phase-Sensitive Observation Model for Noise Robust Speech Recognition.”
In Robust Speech Recognition of Uncertain or Missing Data, edited by Reinhold
Haeb-Umbach and Dorothea Kolossa. Springer, 2011.
ieee: V. Leutnant and R. Haeb-Umbach, “Conditional Bayesian Estimation Employing
a Phase-Sensitive Observation Model for Noise Robust Speech Recognition,” in Robust
Speech Recognition of Uncertain or Missing Data, R. Haeb-Umbach and D. Kolossa,
Eds. Springer, 2011.
mla: Leutnant, Volker, and Reinhold Haeb-Umbach. “Conditional Bayesian Estimation
Employing a Phase-Sensitive Observation Model for Noise Robust Speech Recognition.”
Robust Speech Recognition of Uncertain or Missing Data, edited by Reinhold
Haeb-Umbach and Dorothea Kolossa, Springer, 2011.
short: 'V. Leutnant, R. Haeb-Umbach, in: R. Haeb-Umbach, D. Kolossa (Eds.), Robust
Speech Recognition of Uncertain or Missing Data, Springer, 2011.'
date_created: 2019-07-12T05:29:35Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
editor:
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
last_name: Haeb-Umbach
- first_name: Dorothea
full_name: Kolossa, Dorothea
last_name: Kolossa
language:
- iso: eng
publication: Robust Speech Recognition of Uncertain or Missing Data
publisher: Springer
status: public
title: Conditional Bayesian Estimation Employing a Phase-Sensitive Observation Model
for Noise Robust Speech Recognition
type: book_chapter
user_id: '44006'
year: '2011'
...
---
_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'
...
---
_id: '11911'
abstract:
- lang: eng
text: In this paper we address the problem of initial seed selection for frequency
domain iterative blind speech separation (BSS) algorithms. The derivation of the
seeding algorithm is guided by the goal to select samples which are likely to
be caused by source activity and not by noise and at the same time originate from
different sources. The proposed algorithm has moderate computational complexity
and finds better seed values than alternative schemes, as is demonstrated by experiments
on the database of the SiSEC2010 challenge.
author:
- first_name: Dang Hai
full_name: Tran Vu, Dang Hai
last_name: Tran Vu
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Tran Vu DH, Haeb-Umbach R. On Initial Seed Selection for Frequency Domain
Blind Speech Separation. In: Interspeech 2011. ; 2011.'
apa: Tran Vu, D. H., & Haeb-Umbach, R. (2011). On Initial Seed Selection for
Frequency Domain Blind Speech Separation. In Interspeech 2011.
bibtex: '@inproceedings{Tran Vu_Haeb-Umbach_2011, title={On Initial Seed Selection
for Frequency Domain Blind Speech Separation}, booktitle={Interspeech 2011}, author={Tran
Vu, Dang Hai and Haeb-Umbach, Reinhold}, year={2011} }'
chicago: Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “On Initial Seed Selection
for Frequency Domain Blind Speech Separation.” In Interspeech 2011, 2011.
ieee: D. H. Tran Vu and R. Haeb-Umbach, “On Initial Seed Selection for Frequency
Domain Blind Speech Separation,” in Interspeech 2011, 2011.
mla: Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “On Initial Seed Selection for
Frequency Domain Blind Speech Separation.” Interspeech 2011, 2011.
short: 'D.H. Tran Vu, R. Haeb-Umbach, in: Interspeech 2011, 2011.'
date_created: 2019-07-12T05:30:38Z
date_updated: 2022-01-06T06:51:12Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2011/TrHa11.pdf
oa: '1'
publication: Interspeech 2011
status: public
title: On Initial Seed Selection for Frequency Domain Blind Speech Separation
type: conference
user_id: '44006'
year: '2011'
...
---
_id: '11945'
citation:
ama: Kolossa D, Haeb-Umbach R, eds. Robust Speech Recognition of Uncertain or
Missing Data --- Theory and Applications. Springer; 2011.
apa: Kolossa, D., & Haeb-Umbach, R. (Eds.). (2011). Robust Speech Recognition
of Uncertain or Missing Data --- Theory and Applications. Springer.
bibtex: '@book{Kolossa_Haeb-Umbach_2011, title={Robust Speech Recognition of Uncertain
or Missing Data --- Theory and Applications}, publisher={Springer}, year={2011}
}'
chicago: Kolossa, Dorothea, and Reinhold Haeb-Umbach, eds. Robust Speech Recognition
of Uncertain or Missing Data --- Theory and Applications. Springer, 2011.
ieee: D. Kolossa and R. Haeb-Umbach, Eds., Robust Speech Recognition of Uncertain
or Missing Data --- Theory and Applications. Springer, 2011.
mla: Kolossa, Dorothea, and Reinhold Haeb-Umbach, editors. Robust Speech Recognition
of Uncertain or Missing Data --- Theory and Applications. Springer, 2011.
short: D. Kolossa, R. Haeb-Umbach, eds., Robust Speech Recognition of Uncertain
or Missing Data --- Theory and Applications, Springer, 2011.
date_created: 2019-07-12T05:31:17Z
date_updated: 2022-01-06T06:51:12Z
department:
- _id: '54'
editor:
- first_name: Dorothea
full_name: Kolossa, Dorothea
last_name: Kolossa
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://www.springer.com/engineering/signals/book/978-3-642-21316-8?detailsPage=authorsAndEditors
oa: '1'
publisher: Springer
status: public
title: Robust Speech Recognition of Uncertain or Missing Data --- Theory and Applications
type: book_editor
user_id: '44006'
year: '2011'
...
---
_id: '11973'
author:
- first_name: Serkan
full_name: Ayaz, Serkan
last_name: Ayaz
- first_name: Felix
full_name: Hoffmann, Felix
last_name: Hoffmann
- first_name: Christoph
full_name: Sommer, Christoph
id: '49154'
last_name: Sommer
orcid: 0000-0002-4336-7350
- first_name: Reinhard
full_name: German, Reinhard
last_name: German
- first_name: Falko
full_name: Dressler, Falko
last_name: Dressler
citation:
ama: 'Ayaz S, Hoffmann F, Sommer C, German R, Dressler F. Performance Evaluation
of Network Mobility Handover over Future Aeronautical Data Link. In: 2010 IEEE
Global Telecommunications Conference GLOBECOM 2010. ; 2011. doi:10.1109/glocom.2010.5684106'
apa: Ayaz, S., Hoffmann, F., Sommer, C., German, R., & Dressler, F. (2011).
Performance Evaluation of Network Mobility Handover over Future Aeronautical Data
Link. In 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.
https://doi.org/10.1109/glocom.2010.5684106
bibtex: '@inproceedings{Ayaz_Hoffmann_Sommer_German_Dressler_2011, title={Performance
Evaluation of Network Mobility Handover over Future Aeronautical Data Link}, DOI={10.1109/glocom.2010.5684106},
booktitle={2010 IEEE Global Telecommunications Conference GLOBECOM 2010}, author={Ayaz,
Serkan and Hoffmann, Felix and Sommer, Christoph and German, Reinhard and Dressler,
Falko}, year={2011} }'
chicago: Ayaz, Serkan, Felix Hoffmann, Christoph Sommer, Reinhard German, and Falko
Dressler. “Performance Evaluation of Network Mobility Handover over Future Aeronautical
Data Link.” In 2010 IEEE Global Telecommunications Conference GLOBECOM 2010,
2011. https://doi.org/10.1109/glocom.2010.5684106.
ieee: S. Ayaz, F. Hoffmann, C. Sommer, R. German, and F. Dressler, “Performance
Evaluation of Network Mobility Handover over Future Aeronautical Data Link,” in
2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 2011.
mla: Ayaz, Serkan, et al. “Performance Evaluation of Network Mobility Handover over
Future Aeronautical Data Link.” 2010 IEEE Global Telecommunications Conference
GLOBECOM 2010, 2011, doi:10.1109/glocom.2010.5684106.
short: 'S. Ayaz, F. Hoffmann, C. Sommer, R. German, F. Dressler, in: 2010 IEEE Global
Telecommunications Conference GLOBECOM 2010, 2011.'
date_created: 2019-07-18T09:51:15Z
date_updated: 2022-01-06T06:51:14Z
department:
- _id: '589'
doi: 10.1109/glocom.2010.5684106
language:
- iso: eng
publication: 2010 IEEE Global Telecommunications Conference GLOBECOM 2010
publication_identifier:
isbn:
- '9781424456369'
publication_status: published
status: public
title: Performance Evaluation of Network Mobility Handover over Future Aeronautical
Data Link
type: conference
user_id: '49154'
year: '2011'
...
---
_id: '11993'
author:
- first_name: Falko
full_name: Dressler, Falko
last_name: Dressler
- first_name: Christoph
full_name: Sommer, Christoph
id: '49154'
last_name: Sommer
orcid: 0000-0002-4336-7350
- first_name: David
full_name: Eckhoff, David
last_name: Eckhoff
- first_name: Ozan
full_name: Tonguz, Ozan
last_name: Tonguz
citation:
ama: Dressler F, Sommer C, Eckhoff D, Tonguz O. Toward Realistic Simulation of Intervehicle
Communication. IEEE Vehicular Technology Magazine. 2011:43-51. doi:10.1109/mvt.2011.941898
apa: Dressler, F., Sommer, C., Eckhoff, D., & Tonguz, O. (2011). Toward Realistic
Simulation of Intervehicle Communication. IEEE Vehicular Technology Magazine,
43–51. https://doi.org/10.1109/mvt.2011.941898
bibtex: '@article{Dressler_Sommer_Eckhoff_Tonguz_2011, title={Toward Realistic Simulation
of Intervehicle Communication}, DOI={10.1109/mvt.2011.941898},
journal={IEEE Vehicular Technology Magazine}, author={Dressler, Falko and Sommer,
Christoph and Eckhoff, David and Tonguz, Ozan}, year={2011}, pages={43–51} }'
chicago: Dressler, Falko, Christoph Sommer, David Eckhoff, and Ozan Tonguz. “Toward
Realistic Simulation of Intervehicle Communication.” IEEE Vehicular Technology
Magazine, 2011, 43–51. https://doi.org/10.1109/mvt.2011.941898.
ieee: F. Dressler, C. Sommer, D. Eckhoff, and O. Tonguz, “Toward Realistic Simulation
of Intervehicle Communication,” IEEE Vehicular Technology Magazine, pp.
43–51, 2011.
mla: Dressler, Falko, et al. “Toward Realistic Simulation of Intervehicle Communication.”
IEEE Vehicular Technology Magazine, 2011, pp. 43–51, doi:10.1109/mvt.2011.941898.
short: F. Dressler, C. Sommer, D. Eckhoff, O. Tonguz, IEEE Vehicular Technology
Magazine (2011) 43–51.
date_created: 2019-07-18T09:52:10Z
date_updated: 2022-01-06T06:51:15Z
department:
- _id: '589'
doi: 10.1109/mvt.2011.941898
language:
- iso: eng
page: 43-51
publication: IEEE Vehicular Technology Magazine
publication_identifier:
issn:
- 1556-6072
publication_status: published
status: public
title: Toward Realistic Simulation of Intervehicle Communication
type: journal_article
user_id: '49154'
year: '2011'
...