---
_id: '11743'
abstract:
- lang: eng
text: This contribution introduces a novel causal a priori signal-to-noise ratio
(SNR) estimator for single-channel speech enhancement. To exploit the advantages
of the generalized spectral subtraction, a normalized ?-order magnitude (NAOM)
domain is introduced where an a priori SNR estimation is carried out. In this
domain, the NAOM coefficients of noise and clean speech signals are modeled by
a Weibull distribution and aWeibullmixturemodel (WMM), respectively. While the
parameters of the noise model are calculated from the noise power spectral density
estimates, the speechWMM parameters are estimated from the noisy signal by applying
a causal Expectation-Maximization algorithm. Further a maximum a posteriori estimate
of the a priori SNR is developed. The experiments in different noisy environments
show the superiority of the proposed estimator compared to the well-known decision-directed
approach in terms of estimation error, estimator variance and speech quality of
the enhanced signals when used for speech enhancement.
author:
- first_name: Aleksej
full_name: Chinaev, Aleksej
last_name: Chinaev
- first_name: Jens
full_name: Heitkaemper, Jens
id: '27643'
last_name: Heitkaemper
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Chinaev A, Heitkaemper J, Haeb-Umbach R. A Priori SNR Estimation Using Weibull
Mixture Model. In: 12. ITG Fachtagung Sprachkommunikation (ITG 2016). ;
2016.'
apa: Chinaev, A., Heitkaemper, J., & Haeb-Umbach, R. (2016). A Priori SNR Estimation
Using Weibull Mixture Model. In 12. ITG Fachtagung Sprachkommunikation (ITG
2016).
bibtex: '@inproceedings{Chinaev_Heitkaemper_Haeb-Umbach_2016, title={A Priori SNR
Estimation Using Weibull Mixture Model}, booktitle={12. ITG Fachtagung Sprachkommunikation
(ITG 2016)}, author={Chinaev, Aleksej and Heitkaemper, Jens and Haeb-Umbach, Reinhold},
year={2016} }'
chicago: Chinaev, Aleksej, Jens Heitkaemper, and Reinhold Haeb-Umbach. “A Priori
SNR Estimation Using Weibull Mixture Model.” In 12. ITG Fachtagung Sprachkommunikation
(ITG 2016), 2016.
ieee: A. Chinaev, J. Heitkaemper, and R. Haeb-Umbach, “A Priori SNR Estimation Using
Weibull Mixture Model,” in 12. ITG Fachtagung Sprachkommunikation (ITG 2016),
2016.
mla: Chinaev, Aleksej, et al. “A Priori SNR Estimation Using Weibull Mixture Model.”
12. ITG Fachtagung Sprachkommunikation (ITG 2016), 2016.
short: 'A. Chinaev, J. Heitkaemper, R. Haeb-Umbach, in: 12. ITG Fachtagung Sprachkommunikation
(ITG 2016), 2016.'
date_created: 2019-07-12T05:27:24Z
date_updated: 2022-01-06T06:51:08Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2016/ChHeiHa16.pdf
oa: '1'
publication: 12. ITG Fachtagung Sprachkommunikation (ITG 2016)
related_material:
link:
- description: Presentation
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2016/ChHeiHa16_Presentation.pdf
status: public
title: A Priori SNR Estimation Using Weibull Mixture Model
type: conference
user_id: '44006'
year: '2016'
...
---
_id: '11744'
abstract:
- lang: eng
text: A noise power spectral density (PSD) estimation is an indispensable component
of speech spectral enhancement systems. In this paper we present a noise PSD tracking
algorithm, which employs a noise presence probability estimate delivered by a
deep neural network (DNN). The algorithm provides a causal noise PSD estimate
and can thus be used in speech enhancement systems for communication purposes.
An extensive performance comparison has been carried out with ten causal state-of-the-art
noise tracking algorithms taken from the literature and categorized acc. to applied
techniques. The experiments showed that the proposed DNN-based noise PSD tracker
outperforms all competing methods with respect to all tested performance measures,
which include the noise tracking performance and the performance of a speech enhancement
system employing the noise tracking component.
author:
- first_name: Aleksej
full_name: Chinaev, Aleksej
last_name: Chinaev
- first_name: Jahn
full_name: Heymann, Jahn
id: '9168'
last_name: Heymann
- first_name: Lukas
full_name: Drude, Lukas
id: '11213'
last_name: Drude
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Chinaev A, Heymann J, Drude L, Haeb-Umbach R. Noise-Presence-Probability-Based
Noise PSD Estimation by Using DNNs. In: 12. ITG Fachtagung Sprachkommunikation
(ITG 2016). ; 2016.'
apa: Chinaev, A., Heymann, J., Drude, L., & Haeb-Umbach, R. (2016). Noise-Presence-Probability-Based
Noise PSD Estimation by Using DNNs. In 12. ITG Fachtagung Sprachkommunikation
(ITG 2016).
bibtex: '@inproceedings{Chinaev_Heymann_Drude_Haeb-Umbach_2016, title={Noise-Presence-Probability-Based
Noise PSD Estimation by Using DNNs}, booktitle={12. ITG Fachtagung Sprachkommunikation
(ITG 2016)}, author={Chinaev, Aleksej and Heymann, Jahn and Drude, Lukas and Haeb-Umbach,
Reinhold}, year={2016} }'
chicago: Chinaev, Aleksej, Jahn Heymann, Lukas Drude, and Reinhold Haeb-Umbach.
“Noise-Presence-Probability-Based Noise PSD Estimation by Using DNNs.” In 12.
ITG Fachtagung Sprachkommunikation (ITG 2016), 2016.
ieee: A. Chinaev, J. Heymann, L. Drude, and R. Haeb-Umbach, “Noise-Presence-Probability-Based
Noise PSD Estimation by Using DNNs,” in 12. ITG Fachtagung Sprachkommunikation
(ITG 2016), 2016.
mla: Chinaev, Aleksej, et al. “Noise-Presence-Probability-Based Noise PSD Estimation
by Using DNNs.” 12. ITG Fachtagung Sprachkommunikation (ITG 2016), 2016.
short: 'A. Chinaev, J. Heymann, L. Drude, R. Haeb-Umbach, in: 12. ITG Fachtagung
Sprachkommunikation (ITG 2016), 2016.'
date_created: 2019-07-12T05:27:25Z
date_updated: 2022-01-06T06:51:08Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2016/ChHeyDrHa16.pdf
oa: '1'
publication: 12. ITG Fachtagung Sprachkommunikation (ITG 2016)
related_material:
link:
- description: Presentation
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2016/ChHeyDrHa16_Presentation.pdf
status: public
title: Noise-Presence-Probability-Based Noise PSD Estimation by Using DNNs
type: conference
user_id: '44006'
year: '2016'
...
---
_id: '11751'
author:
- first_name: Lukas
full_name: Drude, Lukas
id: '11213'
last_name: Drude
- first_name: Christoph
full_name: Boeddeker, Christoph
id: '40767'
last_name: Boeddeker
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Drude L, Boeddeker C, Haeb-Umbach R. Blind Speech Separation based on Complex
Spherical k-Mode Clustering. In: Proc. IEEE Intl. Conf. on Acoustics, Speech
and Signal Processing (ICASSP). ; 2016.'
apa: Drude, L., Boeddeker, C., & Haeb-Umbach, R. (2016). Blind Speech Separation
based on Complex Spherical k-Mode Clustering. In Proc. IEEE Intl. Conf. on
Acoustics, Speech and Signal Processing (ICASSP).
bibtex: '@inproceedings{Drude_Boeddeker_Haeb-Umbach_2016, title={Blind Speech Separation
based on Complex Spherical k-Mode Clustering}, booktitle={Proc. IEEE Intl. Conf.
on Acoustics, Speech and Signal Processing (ICASSP)}, author={Drude, Lukas and
Boeddeker, Christoph and Haeb-Umbach, Reinhold}, year={2016} }'
chicago: Drude, Lukas, Christoph Boeddeker, and Reinhold Haeb-Umbach. “Blind Speech
Separation Based on Complex Spherical K-Mode Clustering.” In Proc. IEEE Intl.
Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2016.
ieee: L. Drude, C. Boeddeker, and R. Haeb-Umbach, “Blind Speech Separation based
on Complex Spherical k-Mode Clustering,” in Proc. IEEE Intl. Conf. on Acoustics,
Speech and Signal Processing (ICASSP), 2016.
mla: Drude, Lukas, et al. “Blind Speech Separation Based on Complex Spherical K-Mode
Clustering.” Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing
(ICASSP), 2016.
short: 'L. Drude, C. Boeddeker, R. Haeb-Umbach, in: Proc. IEEE Intl. Conf. on Acoustics,
Speech and Signal Processing (ICASSP), 2016.'
date_created: 2019-07-12T05:27:33Z
date_updated: 2022-01-06T06:51:08Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2016/icassp_2016_drude_paper.pdf
oa: '1'
publication: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP)
related_material:
link:
- description: Slides
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2016/icassp_2016_drude_slides.pdf
status: public
title: Blind Speech Separation based on Complex Spherical k-Mode Clustering
type: conference
user_id: '44006'
year: '2016'
...
---
_id: '11756'
abstract:
- lang: eng
text: Although complex-valued neural networks (CVNNs) â?? networks which can operate
with complex arithmetic â?? have been around for a while, they have not been given
reconsideration since the breakthrough of deep network architectures. This paper
presents a critical assessment whether the novel tool set of deep neural networks
(DNNs) should be extended to complex-valued arithmetic. Indeed, with DNNs making
inroads in speech enhancement tasks, the use of complex-valued input data, specifically
the short-time Fourier transform coefficients, is an obvious consideration. In
particular when it comes to performing tasks that heavily rely on phase information,
such as acoustic beamforming, complex-valued algorithms are omnipresent. In this
contribution we recapitulate backpropagation in CVNNs, develop complex-valued
network elements, such as the split-rectified non-linearity, and compare real-
and complex-valued networks on a beamforming task. We find that CVNNs hardly provide
a performance gain and conclude that the effort of developing the complex-valued
counterparts of the building blocks of modern deep or recurrent neural networks
can hardly be justified.
author:
- first_name: Lukas
full_name: Drude, Lukas
id: '11213'
last_name: Drude
- first_name: Bhiksha
full_name: Raj, Bhiksha
last_name: Raj
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Drude L, Raj B, Haeb-Umbach R. On the appropriateness of complex-valued neural
networks for speech enhancement. In: INTERSPEECH 2016, San Francisco, USA.
; 2016.'
apa: Drude, L., Raj, B., & Haeb-Umbach, R. (2016). On the appropriateness of
complex-valued neural networks for speech enhancement. In INTERSPEECH 2016,
San Francisco, USA.
bibtex: '@inproceedings{Drude_Raj_Haeb-Umbach_2016, title={On the appropriateness
of complex-valued neural networks for speech enhancement}, booktitle={INTERSPEECH
2016, San Francisco, USA}, author={Drude, Lukas and Raj, Bhiksha and Haeb-Umbach,
Reinhold}, year={2016} }'
chicago: Drude, Lukas, Bhiksha Raj, and Reinhold Haeb-Umbach. “On the Appropriateness
of Complex-Valued Neural Networks for Speech Enhancement.” In INTERSPEECH 2016,
San Francisco, USA, 2016.
ieee: L. Drude, B. Raj, and R. Haeb-Umbach, “On the appropriateness of complex-valued
neural networks for speech enhancement,” in INTERSPEECH 2016, San Francisco,
USA, 2016.
mla: Drude, Lukas, et al. “On the Appropriateness of Complex-Valued Neural Networks
for Speech Enhancement.” INTERSPEECH 2016, San Francisco, USA, 2016.
short: 'L. Drude, B. Raj, R. Haeb-Umbach, in: INTERSPEECH 2016, San Francisco, USA,
2016.'
date_created: 2019-07-12T05:27:39Z
date_updated: 2022-01-06T06:51:08Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2016/interspeech_2016_drude_paper.pdf
oa: '1'
publication: INTERSPEECH 2016, San Francisco, USA
related_material:
link:
- description: Poster
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2016/interspeech_2016_drude_slides.pdf
status: public
title: On the appropriateness of complex-valued neural networks for speech enhancement
type: conference
user_id: '44006'
year: '2016'
...
---
_id: '11771'
abstract:
- lang: eng
text: This paper is concerned with speech presence probability estimation employing
an explicit model of the temporal and spectral correlations of speech. An undirected
graphical model is introduced, based on a Factor Graph formulation. It is shown
that this undirected model cures some of the theoretical issues of an earlier
directed graphical model. Furthermore, we formulate a message passing inference
scheme based on an approximate graph factorization, identify this inference scheme
as a particular message passing schedule based on the turbo principle and suggest
further alternative schedules. The experiments show an improved performance over
speech presence probability estimation based on an IID assumption, and a slightly
better performance of the turbo schedule over the alternatives.
author:
- first_name: Thomas
full_name: Glarner, Thomas
id: '14169'
last_name: Glarner
- first_name: Mohammad
full_name: Mahdi Momenzadeh, Mohammad
last_name: Mahdi Momenzadeh
- first_name: Lukas
full_name: Drude, Lukas
id: '11213'
last_name: Drude
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Glarner T, Mahdi Momenzadeh M, Drude L, Haeb-Umbach R. Factor Graph Decoding
for Speech Presence Probability Estimation. In: 12. ITG Fachtagung Sprachkommunikation
(ITG 2016). ; 2016.'
apa: Glarner, T., Mahdi Momenzadeh, M., Drude, L., & Haeb-Umbach, R. (2016).
Factor Graph Decoding for Speech Presence Probability Estimation. In 12. ITG
Fachtagung Sprachkommunikation (ITG 2016).
bibtex: '@inproceedings{Glarner_Mahdi Momenzadeh_Drude_Haeb-Umbach_2016, title={Factor
Graph Decoding for Speech Presence Probability Estimation}, booktitle={12. ITG
Fachtagung Sprachkommunikation (ITG 2016)}, author={Glarner, Thomas and Mahdi
Momenzadeh, Mohammad and Drude, Lukas and Haeb-Umbach, Reinhold}, year={2016}
}'
chicago: Glarner, Thomas, Mohammad Mahdi Momenzadeh, Lukas Drude, and Reinhold Haeb-Umbach.
“Factor Graph Decoding for Speech Presence Probability Estimation.” In 12.
ITG Fachtagung Sprachkommunikation (ITG 2016), 2016.
ieee: T. Glarner, M. Mahdi Momenzadeh, L. Drude, and R. Haeb-Umbach, “Factor Graph
Decoding for Speech Presence Probability Estimation,” in 12. ITG Fachtagung
Sprachkommunikation (ITG 2016), 2016.
mla: Glarner, Thomas, et al. “Factor Graph Decoding for Speech Presence Probability
Estimation.” 12. ITG Fachtagung Sprachkommunikation (ITG 2016), 2016.
short: 'T. Glarner, M. Mahdi Momenzadeh, L. Drude, R. Haeb-Umbach, in: 12. ITG Fachtagung
Sprachkommunikation (ITG 2016), 2016.'
date_created: 2019-07-12T05:27:56Z
date_updated: 2022-01-06T06:51:08Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2016/itgspeech2016_08_Glarner.pdf
oa: '1'
publication: 12. ITG Fachtagung Sprachkommunikation (ITG 2016)
related_material:
link:
- description: Slides
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2016/itgspeech2016_08_Glarner_slides.pdf
status: public
title: Factor Graph Decoding for Speech Presence Probability Estimation
type: conference
user_id: '44006'
year: '2016'
...
---
_id: '11812'
author:
- first_name: Jahn
full_name: Heymann, Jahn
id: '9168'
last_name: Heymann
- first_name: Lukas
full_name: Drude, Lukas
id: '11213'
last_name: Drude
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Heymann J, Drude L, Haeb-Umbach R. Neural Network Based Spectral Mask Estimation
for Acoustic Beamforming. In: Proc. IEEE Intl. Conf. on Acoustics, Speech and
Signal Processing (ICASSP). ; 2016.'
apa: Heymann, J., Drude, L., & Haeb-Umbach, R. (2016). Neural Network Based
Spectral Mask Estimation for Acoustic Beamforming. In Proc. IEEE Intl. Conf.
on Acoustics, Speech and Signal Processing (ICASSP).
bibtex: '@inproceedings{Heymann_Drude_Haeb-Umbach_2016, title={Neural Network Based
Spectral Mask Estimation for Acoustic Beamforming}, booktitle={Proc. IEEE Intl.
Conf. on Acoustics, Speech and Signal Processing (ICASSP)}, author={Heymann, Jahn
and Drude, Lukas and Haeb-Umbach, Reinhold}, year={2016} }'
chicago: Heymann, Jahn, Lukas Drude, and Reinhold Haeb-Umbach. “Neural Network Based
Spectral Mask Estimation for Acoustic Beamforming.” In Proc. IEEE Intl. Conf.
on Acoustics, Speech and Signal Processing (ICASSP), 2016.
ieee: J. Heymann, L. Drude, and R. Haeb-Umbach, “Neural Network Based Spectral Mask
Estimation for Acoustic Beamforming,” in Proc. IEEE Intl. Conf. on Acoustics,
Speech and Signal Processing (ICASSP), 2016.
mla: Heymann, Jahn, et al. “Neural Network Based Spectral Mask Estimation for Acoustic
Beamforming.” Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing
(ICASSP), 2016.
short: 'J. Heymann, L. Drude, R. Haeb-Umbach, in: Proc. IEEE Intl. Conf. on Acoustics,
Speech and Signal Processing (ICASSP), 2016.'
date_created: 2019-07-12T05:28:44Z
date_updated: 2022-01-06T06:51:09Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2016/icassp_2016_heymann_paper.pdf
oa: '1'
publication: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP)
related_material:
link:
- description: Slides
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2016/icassp_2016_heymann_slides.pdf
status: public
title: Neural Network Based Spectral Mask Estimation for Acoustic Beamforming
type: conference
user_id: '44006'
year: '2016'
...
---
_id: '11829'
abstract:
- lang: eng
text: 'This contribution investigates Direction of Arrival (DoA) estimation using
linearly arranged microphone arrays. We are going to develop a model for the DoA
estimation error in a reverberant scenario and show the existence of a bias, that
is a consequence of the linear arrangement and limited field of view (FoV) bias:
First, the limited FoV leading to a clipping of the measurements, and, second,
the angular distribution of the signal energy of the reflections being non-uniform.
Since both issues are a consequence of the linear arrangement of the sensors,
the bias arises largely independent of the kind of DoA estimator. The experimental
evaluation demonstrates the existence of the bias for a selected number of DoA
estimation methods and proves that the prediction from the developed theoretical
model matches the simulation results.'
author:
- first_name: Florian
full_name: Jacob, Florian
last_name: Jacob
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Jacob F, Haeb-Umbach R. On the Bias of Direction of Arrival Estimation Using
Linear Microphone Arrays. In: 12. ITG Fachtagung Sprachkommunikation (ITG 2016).
; 2016.'
apa: Jacob, F., & Haeb-Umbach, R. (2016). On the Bias of Direction of Arrival
Estimation Using Linear Microphone Arrays. In 12. ITG Fachtagung Sprachkommunikation
(ITG 2016).
bibtex: '@inproceedings{Jacob_Haeb-Umbach_2016, title={On the Bias of Direction
of Arrival Estimation Using Linear Microphone Arrays}, booktitle={12. ITG Fachtagung
Sprachkommunikation (ITG 2016)}, author={Jacob, Florian and Haeb-Umbach, Reinhold},
year={2016} }'
chicago: Jacob, Florian, and Reinhold Haeb-Umbach. “On the Bias of Direction of
Arrival Estimation Using Linear Microphone Arrays.” In 12. ITG Fachtagung Sprachkommunikation
(ITG 2016), 2016.
ieee: F. Jacob and R. Haeb-Umbach, “On the Bias of Direction of Arrival Estimation
Using Linear Microphone Arrays,” in 12. ITG Fachtagung Sprachkommunikation
(ITG 2016), 2016.
mla: Jacob, Florian, and Reinhold Haeb-Umbach. “On the Bias of Direction of Arrival
Estimation Using Linear Microphone Arrays.” 12. ITG Fachtagung Sprachkommunikation
(ITG 2016), 2016.
short: 'F. Jacob, R. Haeb-Umbach, in: 12. ITG Fachtagung Sprachkommunikation (ITG
2016), 2016.'
date_created: 2019-07-12T05:29:03Z
date_updated: 2022-01-06T06:51:10Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2016/JacobHaeb_ITG2016.pdf
oa: '1'
publication: 12. ITG Fachtagung Sprachkommunikation (ITG 2016)
related_material:
link:
- description: Poster
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2016/JacobHaeb_ITG2016_poster.pdf
status: public
title: On the Bias of Direction of Arrival Estimation Using Linear Microphone Arrays
type: conference
user_id: '44006'
year: '2016'
...
---
_id: '11834'
abstract:
- lang: eng
text: We present a system for the 4th CHiME challenge which significantly increases
the performance for all three tracks with respect to the provided baseline system.
The front-end uses a bi-directional Long Short-Term Memory (BLSTM)-based neural
network to estimate signal statistics. These then steer a Generalized Eigenvalue
beamformer. The back-end consists of a 22 layer deep Wide Residual Network and
two extra BLSTM layers. Working on a whole utterance instead of frames allows
us to refine Batch-Normalization. We also train our own BLSTM-based language model.
Adding a discriminative speaker adaptation leads to further gains. The final system
achieves a word error rate on the six channel real test data of 3.48%. For the
two channel track we achieve 5.96% and for the one channel track 9.34%. This is
the best reported performance on the challenge achieved by a single system, i.e.,
a configuration, which does not combine multiple systems. At the same time, our
system is independent of the microphone configuration. We can thus use the same
components for all three tracks.
author:
- first_name: Jahn
full_name: Heymann, Jahn
id: '9168'
last_name: Heymann
- first_name: Lukas
full_name: Drude, Lukas
id: '11213'
last_name: Drude
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Heymann J, Drude L, Haeb-Umbach R. Wide Residual BLSTM Network with Discriminative
Speaker Adaptation for Robust Speech Recognition. In: Computer Speech and Language.
; 2016.'
apa: Heymann, J., Drude, L., & Haeb-Umbach, R. (2016). Wide Residual BLSTM Network
with Discriminative Speaker Adaptation for Robust Speech Recognition. In Computer
Speech and Language.
bibtex: '@inproceedings{Heymann_Drude_Haeb-Umbach_2016, title={Wide Residual BLSTM
Network with Discriminative Speaker Adaptation for Robust Speech Recognition},
booktitle={Computer Speech and Language}, author={Heymann, Jahn and Drude, Lukas
and Haeb-Umbach, Reinhold}, year={2016} }'
chicago: Heymann, Jahn, Lukas Drude, and Reinhold Haeb-Umbach. “Wide Residual BLSTM
Network with Discriminative Speaker Adaptation for Robust Speech Recognition.”
In Computer Speech and Language, 2016.
ieee: J. Heymann, L. Drude, and R. Haeb-Umbach, “Wide Residual BLSTM Network with
Discriminative Speaker Adaptation for Robust Speech Recognition,” in Computer
Speech and Language, 2016.
mla: Heymann, Jahn, et al. “Wide Residual BLSTM Network with Discriminative Speaker
Adaptation for Robust Speech Recognition.” Computer Speech and Language,
2016.
short: 'J. Heymann, L. Drude, R. Haeb-Umbach, in: Computer Speech and Language,
2016.'
date_created: 2019-07-12T05:29:09Z
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/2016/chime4_upbonly_paper.pdf
oa: '1'
publication: Computer Speech and Language
related_material:
link:
- description: Poster
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2016/chime4_upbonly_poster.pdf
status: public
title: Wide Residual BLSTM Network with Discriminative Speaker Adaptation for Robust
Speech Recognition
type: conference
user_id: '44006'
year: '2016'
...
---
_id: '11840'
author:
- first_name: Keisuke
full_name: Kinoshita, Keisuke
last_name: Kinoshita
- first_name: Marc
full_name: Delcroix, Marc
last_name: Delcroix
- first_name: Sharon
full_name: Gannot, Sharon
last_name: Gannot
- first_name: Emanuel A. P.
full_name: Habets, Emanuel A. P.
last_name: Habets
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
- first_name: Walter
full_name: Kellermann, Walter
last_name: Kellermann
- first_name: Volker
full_name: Leutnant, Volker
last_name: Leutnant
- first_name: Roland
full_name: Maas, Roland
last_name: Maas
- first_name: Tomohiro
full_name: Nakatani, Tomohiro
last_name: Nakatani
- first_name: Bhiksha
full_name: Raj, Bhiksha
last_name: Raj
- first_name: Armin
full_name: Sehr, Armin
last_name: Sehr
- first_name: Takuya
full_name: Yoshioka, Takuya
last_name: Yoshioka
citation:
ama: 'Kinoshita K, Delcroix M, Gannot S, et al. A summary of the REVERB challenge:
state-of-the-art and remaining challenges in reverberant speech processing research.
EURASIP Journal on Advances in Signal Processing. 2016.'
apa: 'Kinoshita, K., Delcroix, M., Gannot, S., Habets, E. A. P., Haeb-Umbach, R.,
Kellermann, W., … Yoshioka, T. (2016). A summary of the REVERB challenge: state-of-the-art
and remaining challenges in reverberant speech processing research. EURASIP
Journal on Advances in Signal Processing.'
bibtex: '@article{Kinoshita_Delcroix_Gannot_Habets_Haeb-Umbach_Kellermann_Leutnant_Maas_Nakatani_Raj_et
al._2016, title={A summary of the REVERB challenge: state-of-the-art and remaining
challenges in reverberant speech processing research}, journal={EURASIP Journal
on Advances in Signal Processing}, author={Kinoshita, Keisuke and Delcroix, Marc
and Gannot, Sharon and Habets, Emanuel A. P. and Haeb-Umbach, Reinhold and Kellermann,
Walter and Leutnant, Volker and Maas, Roland and Nakatani, Tomohiro and Raj, Bhiksha
and et al.}, year={2016} }'
chicago: 'Kinoshita, Keisuke, Marc Delcroix, Sharon Gannot, Emanuel A. P. Habets,
Reinhold Haeb-Umbach, Walter Kellermann, Volker Leutnant, et al. “A Summary of
the REVERB Challenge: State-of-the-Art and Remaining Challenges in Reverberant
Speech Processing Research.” EURASIP Journal on Advances in Signal Processing,
2016.'
ieee: 'K. Kinoshita et al., “A summary of the REVERB challenge: state-of-the-art
and remaining challenges in reverberant speech processing research,” EURASIP
Journal on Advances in Signal Processing, 2016.'
mla: 'Kinoshita, Keisuke, et al. “A Summary of the REVERB Challenge: State-of-the-Art
and Remaining Challenges in Reverberant Speech Processing Research.” EURASIP
Journal on Advances in Signal Processing, 2016.'
short: K. Kinoshita, M. Delcroix, S. Gannot, E.A.P. Habets, R. Haeb-Umbach, W. Kellermann,
V. Leutnant, R. Maas, T. Nakatani, B. Raj, A. Sehr, T. Yoshioka, EURASIP Journal
on Advances in Signal Processing (2016).
date_created: 2019-07-12T05:29:16Z
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/2016/REVERB_summary.pdf
oa: '1'
publication: EURASIP Journal on Advances in Signal Processing
status: public
title: 'A summary of the REVERB challenge: state-of-the-art and remaining challenges
in reverberant speech processing research'
type: journal_article
user_id: '44006'
year: '2016'
...
---
_id: '11886'
abstract:
- lang: eng
text: Today, we are often surrounded by devices with one or more microphones, such
as smartphones, laptops, and wireless microphones. If they are part of an acoustic
sensor network, their distribution in the environment can be beneficially exploited
for various speech processing tasks. However, applications like speaker localization,
speaker tracking, and speech enhancement by beamforming avail themselves of the
geometrical configuration of the sensors. Therefore, acoustic microphone geometry
calibration has recently become a very active field of research. This article
provides an application-oriented, comprehensive survey of existing methods for
microphone position self-calibration, which will be categorized by the measurements
they use and the scenarios they can calibrate. Selected methods will be evaluated
comparatively with real-world recordings.
author:
- first_name: Axel
full_name: Plinge, Axel
last_name: Plinge
- first_name: Florian
full_name: Jacob, Florian
last_name: Jacob
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
- first_name: Gernot A.
full_name: Fink, Gernot A.
last_name: Fink
citation:
ama: 'Plinge A, Jacob F, Haeb-Umbach R, Fink GA. Acoustic Microphone Geometry Calibration:
An overview and experimental evaluation of state-of-the-art algorithms. IEEE
Signal Processing Magazine. 2016;33(4):14-29. doi:10.1109/MSP.2016.2555198'
apa: 'Plinge, A., Jacob, F., Haeb-Umbach, R., & Fink, G. A. (2016). Acoustic
Microphone Geometry Calibration: An overview and experimental evaluation of state-of-the-art
algorithms. IEEE Signal Processing Magazine, 33(4), 14–29. https://doi.org/10.1109/MSP.2016.2555198'
bibtex: '@article{Plinge_Jacob_Haeb-Umbach_Fink_2016, title={Acoustic Microphone
Geometry Calibration: An overview and experimental evaluation of state-of-the-art
algorithms}, volume={33}, DOI={10.1109/MSP.2016.2555198},
number={4}, journal={IEEE Signal Processing Magazine}, author={Plinge, Axel and
Jacob, Florian and Haeb-Umbach, Reinhold and Fink, Gernot A.}, year={2016}, pages={14–29}
}'
chicago: 'Plinge, Axel, Florian Jacob, Reinhold Haeb-Umbach, and Gernot A. Fink.
“Acoustic Microphone Geometry Calibration: An Overview and Experimental Evaluation
of State-of-the-Art Algorithms.” IEEE Signal Processing Magazine 33, no.
4 (2016): 14–29. https://doi.org/10.1109/MSP.2016.2555198.'
ieee: 'A. Plinge, F. Jacob, R. Haeb-Umbach, and G. A. Fink, “Acoustic Microphone
Geometry Calibration: An overview and experimental evaluation of state-of-the-art
algorithms,” IEEE Signal Processing Magazine, vol. 33, no. 4, pp. 14–29,
2016.'
mla: 'Plinge, Axel, et al. “Acoustic Microphone Geometry Calibration: An Overview
and Experimental Evaluation of State-of-the-Art Algorithms.” IEEE Signal Processing
Magazine, vol. 33, no. 4, 2016, pp. 14–29, doi:10.1109/MSP.2016.2555198.'
short: A. Plinge, F. Jacob, R. Haeb-Umbach, G.A. Fink, IEEE Signal Processing Magazine
33 (2016) 14–29.
date_created: 2019-07-12T05:30:09Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
doi: 10.1109/MSP.2016.2555198
intvolume: ' 33'
issue: '4'
keyword:
- Acoustic sensors
- Microphones
- Portable computers
- Smart phones
- Wireless communication
- Wireless sensor networks
language:
- iso: eng
page: 14-29
publication: IEEE Signal Processing Magazine
publication_identifier:
issn:
- 1053-5888
status: public
title: 'Acoustic Microphone Geometry Calibration: An overview and experimental evaluation
of state-of-the-art algorithms'
type: journal_article
user_id: '44006'
volume: 33
year: '2016'
...
---
_id: '11908'
abstract:
- lang: eng
text: 'This paper describes automatic speech recognition (ASR) systems developed
jointly by RWTH, UPB and FORTH for the 1ch, 2ch and 6ch track of the 4th CHiME
Challenge. In the 2ch and 6ch tracks the final system output is obtained by a
Confusion Network Combination (CNC) of multiple systems. The Acoustic Model (AM)
is a deep neural network based on Bidirectional Long Short-Term Memory (BLSTM)
units. The systems differ by front ends and training sets used for the acoustic
training. The model for the 1ch track is trained without any preprocessing. For
each front end we trained and evaluated individual acoustic models. We compare
the ASR performance of different beamforming approaches: a conventional superdirective
beamformer [1] and an MVDR beamformer as in [2], where the steering vector is
estimated based on [3]. Furthermore we evaluated a BLSTM supported Generalized
Eigenvalue beamformer using NN-GEV [4]. The back end is implemented using RWTH?s
open-source toolkits RASR [5], RETURNN [6] and rwthlm [7]. We rescore lattices
with a Long Short-Term Memory (LSTM) based language model. The overall best results
are obtained by a system combination that includes the lattices from the system
of UPB?s submission [8]. Our final submission scored second in each of the three
tracks of the 4th CHiME Challenge.'
author:
- first_name: Tobias
full_name: Menne, Tobias
last_name: Menne
- first_name: Jahn
full_name: Heymann, Jahn
id: '9168'
last_name: Heymann
- first_name: Anastasios
full_name: Alexandridis, Anastasios
last_name: Alexandridis
- first_name: Kazuki
full_name: Irie, Kazuki
last_name: Irie
- first_name: Albert
full_name: Zeyer, Albert
last_name: Zeyer
- first_name: Markus
full_name: Kitza, Markus
last_name: Kitza
- first_name: Pavel
full_name: Golik, Pavel
last_name: Golik
- first_name: Ilia
full_name: Kulikov, Ilia
last_name: Kulikov
- first_name: Lukas
full_name: Drude, Lukas
id: '11213'
last_name: Drude
- first_name: Ralf
full_name: Schlüter, Ralf
last_name: Schlüter
- first_name: Hermann
full_name: Ney, Hermann
last_name: Ney
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
- first_name: Athanasios
full_name: Mouchtaris, Athanasios
last_name: Mouchtaris
citation:
ama: 'Menne T, Heymann J, Alexandridis A, et al. The RWTH/UPB/FORTH System Combination
for the 4th CHiME Challenge Evaluation. In: Computer Speech and Language.
; 2016.'
apa: Menne, T., Heymann, J., Alexandridis, A., Irie, K., Zeyer, A., Kitza, M., …
Mouchtaris, A. (2016). The RWTH/UPB/FORTH System Combination for the 4th CHiME
Challenge Evaluation. In Computer Speech and Language.
bibtex: '@inproceedings{Menne_Heymann_Alexandridis_Irie_Zeyer_Kitza_Golik_Kulikov_Drude_Schlüter_et
al._2016, title={The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge
Evaluation}, booktitle={Computer Speech and Language}, author={Menne, Tobias and
Heymann, Jahn and Alexandridis, Anastasios and Irie, Kazuki and Zeyer, Albert
and Kitza, Markus and Golik, Pavel and Kulikov, Ilia and Drude, Lukas and Schlüter,
Ralf and et al.}, year={2016} }'
chicago: Menne, Tobias, Jahn Heymann, Anastasios Alexandridis, Kazuki Irie, Albert
Zeyer, Markus Kitza, Pavel Golik, et al. “The RWTH/UPB/FORTH System Combination
for the 4th CHiME Challenge Evaluation.” In Computer Speech and Language,
2016.
ieee: T. Menne et al., “The RWTH/UPB/FORTH System Combination for the 4th
CHiME Challenge Evaluation,” in Computer Speech and Language, 2016.
mla: Menne, Tobias, et al. “The RWTH/UPB/FORTH System Combination for the 4th CHiME
Challenge Evaluation.” Computer Speech and Language, 2016.
short: 'T. Menne, J. Heymann, A. Alexandridis, K. Irie, A. Zeyer, M. Kitza, P. Golik,
I. Kulikov, L. Drude, R. Schlüter, H. Ney, R. Haeb-Umbach, A. Mouchtaris, in:
Computer Speech and Language, 2016.'
date_created: 2019-07-12T05:30:35Z
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/2016/chime4_rwthupbforth_paper.pdf
oa: '1'
publication: Computer Speech and Language
status: public
title: The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation
type: conference
user_id: '44006'
year: '2016'
...
---
_id: '11920'
abstract:
- lang: eng
text: In this paper we demonstrate an algorithm to learn words from speech using
non-parametric Bayesian hierarchical models in an unsupervised setting. We exploit
the assumption of a hierarchical structure of speech, namely the formation of
spoken words as a sequence of phonemes. We employ the Nested Hierarchical Pitman-Yor
Language Model, which allows an a priori unknown and possibly unlimited number
of words. We assume the n-gram probabilities of words, the m-gram probabilities
of phoneme sequences in words and the phoneme sequences of the words themselves
as latent variables to be learned. We evaluate the algorithm on a cross language
task using an existing speech recognizer trained on English speech to decode speech
in the Xitsonga language supplied for the 2015 ZeroSpeech challenge. We apply
the learning algorithm on the resulting phoneme graphs and achieve the highest
token precision and F score compared to present systems.
author:
- first_name: Oliver
full_name: Walter, Oliver
last_name: Walter
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Walter O, Haeb-Umbach R. Unsupervised Word Discovery from Speech using Bayesian
Hierarchical Models. In: 38th German Conference on Pattern Recognition (GCPR
2016). ; 2016.'
apa: Walter, O., & Haeb-Umbach, R. (2016). Unsupervised Word Discovery from
Speech using Bayesian Hierarchical Models. In 38th German Conference on Pattern
Recognition (GCPR 2016).
bibtex: '@inproceedings{Walter_Haeb-Umbach_2016, title={Unsupervised Word Discovery
from Speech using Bayesian Hierarchical Models}, booktitle={38th German Conference
on Pattern Recognition (GCPR 2016)}, author={Walter, Oliver and Haeb-Umbach, Reinhold},
year={2016} }'
chicago: Walter, Oliver, and Reinhold Haeb-Umbach. “Unsupervised Word Discovery
from Speech Using Bayesian Hierarchical Models.” In 38th German Conference
on Pattern Recognition (GCPR 2016), 2016.
ieee: O. Walter and R. Haeb-Umbach, “Unsupervised Word Discovery from Speech using
Bayesian Hierarchical Models,” in 38th German Conference on Pattern Recognition
(GCPR 2016), 2016.
mla: Walter, Oliver, and Reinhold Haeb-Umbach. “Unsupervised Word Discovery from
Speech Using Bayesian Hierarchical Models.” 38th German Conference on Pattern
Recognition (GCPR 2016), 2016.
short: 'O. Walter, R. Haeb-Umbach, in: 38th German Conference on Pattern Recognition
(GCPR 2016), 2016.'
date_created: 2019-07-12T05:30:49Z
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/2016/WaHa16.pdf
oa: '1'
publication: 38th German Conference on Pattern Recognition (GCPR 2016)
related_material:
link:
- description: Presentation
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2016/WaHa16_Talk.pdf
status: public
title: Unsupervised Word Discovery from Speech using Bayesian Hierarchical Models
type: conference
user_id: '44006'
year: '2016'
...
---
_id: '12975'
author:
- first_name: Matthias
full_name: Kampmann, Matthias
id: '10935'
last_name: Kampmann
- first_name: Sybille
full_name: Hellebrand, Sybille
id: '209'
last_name: Hellebrand
orcid: 0000-0002-3717-3939
citation:
ama: 'Kampmann M, Hellebrand S. X Marks the Spot: Scan-Flip-Flop Clustering for
Faster-than-at-Speed Test. In: 25th IEEE Asian Test Symposium (ATS’16).
Hiroshima, Japan: IEEE; 2016:1-6. doi:10.1109/ats.2016.20'
apa: 'Kampmann, M., & Hellebrand, S. (2016). X Marks the Spot: Scan-Flip-Flop
Clustering for Faster-than-at-Speed Test. In 25th IEEE Asian Test Symposium
(ATS’16) (pp. 1–6). Hiroshima, Japan: IEEE. https://doi.org/10.1109/ats.2016.20'
bibtex: '@inproceedings{Kampmann_Hellebrand_2016, place={Hiroshima, Japan}, title={X
Marks the Spot: Scan-Flip-Flop Clustering for Faster-than-at-Speed Test}, DOI={10.1109/ats.2016.20}, booktitle={25th
IEEE Asian Test Symposium (ATS’16)}, publisher={IEEE}, author={Kampmann, Matthias
and Hellebrand, Sybille}, year={2016}, pages={1–6} }'
chicago: 'Kampmann, Matthias, and Sybille Hellebrand. “X Marks the Spot: Scan-Flip-Flop
Clustering for Faster-than-at-Speed Test.” In 25th IEEE Asian Test Symposium
(ATS’16), 1–6. Hiroshima, Japan: IEEE, 2016. https://doi.org/10.1109/ats.2016.20.'
ieee: 'M. Kampmann and S. Hellebrand, “X Marks the Spot: Scan-Flip-Flop Clustering
for Faster-than-at-Speed Test,” in 25th IEEE Asian Test Symposium (ATS’16),
2016, pp. 1–6.'
mla: 'Kampmann, Matthias, and Sybille Hellebrand. “X Marks the Spot: Scan-Flip-Flop
Clustering for Faster-than-at-Speed Test.” 25th IEEE Asian Test Symposium (ATS’16),
IEEE, 2016, pp. 1–6, doi:10.1109/ats.2016.20.'
short: 'M. Kampmann, S. Hellebrand, in: 25th IEEE Asian Test Symposium (ATS’16),
IEEE, Hiroshima, Japan, 2016, pp. 1–6.'
date_created: 2019-08-28T08:53:04Z
date_updated: 2022-01-06T06:51:27Z
department:
- _id: '48'
doi: 10.1109/ats.2016.20
language:
- iso: eng
page: 1-6
place: Hiroshima, Japan
publication: 25th IEEE Asian Test Symposium (ATS'16)
publisher: IEEE
status: public
title: 'X Marks the Spot: Scan-Flip-Flop Clustering for Faster-than-at-Speed Test'
type: conference
user_id: '209'
year: '2016'
...
---
_id: '15176'
author:
- first_name: Nadine
full_name: Feldmann, Nadine
id: '23082'
last_name: Feldmann
- first_name: Fabian
full_name: Bause, Fabian
last_name: Bause
- first_name: Bernd
full_name: Henning, Bernd
id: '213'
last_name: Henning
citation:
ama: Feldmann N, Bause F, Henning B. GUM-konforme Unsicherheitsabschätzung bei
inversen Problemen am Beispiel akustischer Transmissionsmessungen.; 2016.
apa: Feldmann, N., Bause, F., & Henning, B. (2016). GUM-konforme Unsicherheitsabschätzung
bei inversen Problemen am Beispiel akustischer Transmissionsmessungen.
bibtex: '@book{Feldmann_Bause_Henning_2016, title={GUM-konforme Unsicherheitsabschätzung
bei inversen Problemen am Beispiel akustischer Transmissionsmessungen}, author={Feldmann,
Nadine and Bause, Fabian and Henning, Bernd}, year={2016} }'
chicago: Feldmann, Nadine, Fabian Bause, and Bernd Henning. GUM-konforme Unsicherheitsabschätzung
bei inversen Problemen am Beispiel akustischer Transmissionsmessungen, 2016.
ieee: N. Feldmann, F. Bause, and B. Henning, GUM-konforme Unsicherheitsabschätzung
bei inversen Problemen am Beispiel akustischer Transmissionsmessungen. 2016.
mla: Feldmann, Nadine, et al. GUM-konforme Unsicherheitsabschätzung bei inversen
Problemen am Beispiel akustischer Transmissionsmessungen. 2016.
short: N. Feldmann, F. Bause, B. Henning, GUM-konforme Unsicherheitsabschätzung
bei inversen Problemen am Beispiel akustischer Transmissionsmessungen, 2016.
date_created: 2019-11-25T13:26:07Z
date_updated: 2022-01-06T06:52:16Z
department:
- _id: '49'
language:
- iso: ger
project:
- _id: '87'
grant_number: '222271124'
name: Bestimmung komplexer akustischer Materialkenngrößen
status: public
title: GUM-konforme Unsicherheitsabschätzung bei inversen Problemen am Beispiel akustischer
Transmissionsmessungen
type: misc
user_id: '23082'
year: '2016'
...
---
_id: '13860'
author:
- first_name: Fabian
full_name: Bause, Fabian
last_name: Bause
citation:
ama: Bause F. Ein Ultraschallbasiertes Inverses Messverfahren Zur Charakterisierung
Viskoelastischer Materialparameter von Polymeren. Universität Paderborn; 2016.
apa: Bause, F. (2016). Ein ultraschallbasiertes inverses Messverfahren zur Charakterisierung
viskoelastischer Materialparameter von Polymeren. Universität Paderborn.
bibtex: '@book{Bause_2016, title={Ein ultraschallbasiertes inverses Messverfahren
zur Charakterisierung viskoelastischer Materialparameter von Polymeren}, publisher={Universität
Paderborn}, author={Bause, Fabian}, year={2016} }'
chicago: Bause, Fabian. Ein Ultraschallbasiertes Inverses Messverfahren Zur Charakterisierung
Viskoelastischer Materialparameter von Polymeren. Universität Paderborn, 2016.
ieee: F. Bause, Ein ultraschallbasiertes inverses Messverfahren zur Charakterisierung
viskoelastischer Materialparameter von Polymeren. Universität Paderborn, 2016.
mla: Bause, Fabian. Ein Ultraschallbasiertes Inverses Messverfahren Zur Charakterisierung
Viskoelastischer Materialparameter von Polymeren. Universität Paderborn, 2016.
short: F. Bause, Ein Ultraschallbasiertes Inverses Messverfahren Zur Charakterisierung
Viskoelastischer Materialparameter von Polymeren, Universität Paderborn, 2016.
date_created: 2019-10-15T10:38:36Z
date_updated: 2022-01-06T06:51:45Z
department:
- _id: '49'
language:
- iso: eng
publisher: Universität Paderborn
status: public
title: Ein ultraschallbasiertes inverses Messverfahren zur Charakterisierung viskoelastischer
Materialparameter von Polymeren
type: dissertation
user_id: '15911'
year: '2016'
...
---
_id: '13864'
author:
- first_name: F.
full_name: Bause, F.
last_name: Bause
- first_name: Bernd
full_name: Henning, Bernd
id: '213'
last_name: Henning
citation:
ama: 'Bause F, Henning B. 5.3.1 - Ein ultraschallbasiertes inverses Messverfahren
zur Charakterisierung viskoelastischer Materialparameter von Polymeren. In: LibreCat
University; 2016. doi:10.5162/SENSOREN2016/5.3.1'
apa: Bause, F., & Henning, B. (2016). 5.3.1 - Ein ultraschallbasiertes inverses
Messverfahren zur Charakterisierung viskoelastischer Materialparameter von Polymeren.
LibreCat University. https://doi.org/10.5162/SENSOREN2016/5.3.1
bibtex: '@inproceedings{Bause_Henning_2016, title={5.3.1 - Ein ultraschallbasiertes
inverses Messverfahren zur Charakterisierung viskoelastischer Materialparameter
von Polymeren}, DOI={10.5162/SENSOREN2016/5.3.1},
publisher={LibreCat University}, author={Bause, F. and Henning, Bernd}, year={2016}
}'
chicago: Bause, F., and Bernd Henning. “5.3.1 - Ein Ultraschallbasiertes Inverses
Messverfahren Zur Charakterisierung Viskoelastischer Materialparameter von Polymeren.”
LibreCat University, 2016. https://doi.org/10.5162/SENSOREN2016/5.3.1.
ieee: F. Bause and B. Henning, “5.3.1 - Ein ultraschallbasiertes inverses Messverfahren
zur Charakterisierung viskoelastischer Materialparameter von Polymeren,” 2016.
mla: Bause, F., and Bernd Henning. 5.3.1 - Ein Ultraschallbasiertes Inverses
Messverfahren Zur Charakterisierung Viskoelastischer Materialparameter von Polymeren.
LibreCat University, 2016, doi:10.5162/SENSOREN2016/5.3.1.
short: 'F. Bause, B. Henning, in: LibreCat University, 2016.'
date_created: 2019-10-15T11:03:43Z
date_updated: 2022-01-06T06:51:45Z
department:
- _id: '49'
doi: 10.5162/SENSOREN2016/5.3.1
language:
- iso: eng
publisher: LibreCat University
status: public
title: 5.3.1 - Ein ultraschallbasiertes inverses Messverfahren zur Charakterisierung
viskoelastischer Materialparameter von Polymeren
type: conference
user_id: '15911'
year: '2016'
...
---
_id: '13865'
author:
- first_name: S.
full_name: Ester, S.
last_name: Ester
- first_name: M.
full_name: Struschka, M.
last_name: Struschka
- first_name: Bernd
full_name: Henning, Bernd
id: '213'
last_name: Henning
citation:
ama: 'Ester S, Struschka M, Henning B. 3.2.3 - Direktgravimetrischer Partikelmasse-Sensor
zur quasikontinuierlichen Emissionsmessung. In: LibreCat University; 2016. doi:10.5162/SENSOREN2016/3.2.3'
apa: Ester, S., Struschka, M., & Henning, B. (2016). 3.2.3 - Direktgravimetrischer
Partikelmasse-Sensor zur quasikontinuierlichen Emissionsmessung. LibreCat University.
https://doi.org/10.5162/SENSOREN2016/3.2.3
bibtex: '@inproceedings{Ester_Struschka_Henning_2016, title={3.2.3 - Direktgravimetrischer
Partikelmasse-Sensor zur quasikontinuierlichen Emissionsmessung}, DOI={10.5162/SENSOREN2016/3.2.3},
publisher={LibreCat University}, author={Ester, S. and Struschka, M. and Henning,
Bernd}, year={2016} }'
chicago: Ester, S., M. Struschka, and Bernd Henning. “3.2.3 - Direktgravimetrischer
Partikelmasse-Sensor Zur Quasikontinuierlichen Emissionsmessung.” LibreCat University,
2016. https://doi.org/10.5162/SENSOREN2016/3.2.3.
ieee: S. Ester, M. Struschka, and B. Henning, “3.2.3 - Direktgravimetrischer Partikelmasse-Sensor
zur quasikontinuierlichen Emissionsmessung,” 2016.
mla: Ester, S., et al. 3.2.3 - Direktgravimetrischer Partikelmasse-Sensor Zur
Quasikontinuierlichen Emissionsmessung. LibreCat University, 2016, doi:10.5162/SENSOREN2016/3.2.3.
short: 'S. Ester, M. Struschka, B. Henning, in: LibreCat University, 2016.'
date_created: 2019-10-15T11:04:18Z
date_updated: 2022-01-06T06:51:45Z
department:
- _id: '49'
doi: 10.5162/SENSOREN2016/3.2.3
language:
- iso: eng
publisher: LibreCat University
status: public
title: 3.2.3 - Direktgravimetrischer Partikelmasse-Sensor zur quasikontinuierlichen
Emissionsmessung
type: conference
user_id: '15911'
year: '2016'
...
---
_id: '13215'
author:
- first_name: Elmar
full_name: Moritzer, Elmar
last_name: Moritzer
- first_name: Matthias
full_name: Hüttner, Matthias
last_name: Hüttner
- first_name: Bernd
full_name: Henning, Bernd
id: '213'
last_name: Henning
- first_name: Manuel
full_name: Webersen, Manuel
id: '11289'
last_name: Webersen
orcid: 0000-0001-6411-4232
citation:
ama: 'Moritzer E, Hüttner M, Henning B, Webersen M. An Approach to Non-Destructive
Testing of Aged Polymers. In: The Polymer Processing Society, ed. ; 2016.'
apa: Moritzer, E., Hüttner, M., Henning, B., & Webersen, M. (2016). An Approach
to Non-Destructive Testing of Aged Polymers. In The Polymer Processing Society
(Ed.). Presented at the 32nd International Conference of the Polymer Processing
Society, Lyon.
bibtex: '@inproceedings{Moritzer_Hüttner_Henning_Webersen_2016, title={An Approach
to Non-Destructive Testing of Aged Polymers}, author={Moritzer, Elmar and Hüttner,
Matthias and Henning, Bernd and Webersen, Manuel}, editor={The Polymer Processing
SocietyEditor}, year={2016} }'
chicago: Moritzer, Elmar, Matthias Hüttner, Bernd Henning, and Manuel Webersen.
“An Approach to Non-Destructive Testing of Aged Polymers.” edited by The Polymer
Processing Society, 2016.
ieee: E. Moritzer, M. Hüttner, B. Henning, and M. Webersen, “An Approach to Non-Destructive
Testing of Aged Polymers,” presented at the 32nd International Conference of the
Polymer Processing Society, Lyon, 2016.
mla: Moritzer, Elmar, et al. An Approach to Non-Destructive Testing of Aged Polymers.
Edited by The Polymer Processing Society, 2016.
short: 'E. Moritzer, M. Hüttner, B. Henning, M. Webersen, in: The Polymer Processing
Society (Ed.), 2016.'
conference:
end_date: 2016-07-29
location: Lyon
name: 32nd International Conference of the Polymer Processing Society
start_date: 2016-07-25
corporate_editor:
- The Polymer Processing Society
date_created: 2019-09-13T13:13:44Z
date_updated: 2022-01-06T06:51:31Z
department:
- _id: '49'
language:
- iso: eng
status: public
title: An Approach to Non-Destructive Testing of Aged Polymers
type: conference
user_id: '11289'
year: '2016'
...
---
_id: '13216'
author:
- first_name: Elmar
full_name: Moritzer, Elmar
last_name: Moritzer
- first_name: Matthias
full_name: Hüttner, Matthias
last_name: Hüttner
- first_name: Bernd
full_name: Henning, Bernd
id: '213'
last_name: Henning
- first_name: Manuel
full_name: Webersen, Manuel
id: '11289'
last_name: Webersen
orcid: 0000-0001-6411-4232
citation:
ama: Moritzer E, Hüttner M, Henning B, Webersen M. Molekularen Schäden auf der Spur.
Kunststoffe. 2016;(4):94-96.
apa: Moritzer, E., Hüttner, M., Henning, B., & Webersen, M. (2016). Molekularen
Schäden auf der Spur. Kunststoffe, (4), 94–96.
bibtex: '@article{Moritzer_Hüttner_Henning_Webersen_2016, title={Molekularen Schäden
auf der Spur}, number={4}, journal={Kunststoffe}, author={Moritzer, Elmar and
Hüttner, Matthias and Henning, Bernd and Webersen, Manuel}, year={2016}, pages={94–96}
}'
chicago: 'Moritzer, Elmar, Matthias Hüttner, Bernd Henning, and Manuel Webersen.
“Molekularen Schäden auf der Spur.” Kunststoffe, no. 4 (2016): 94–96.'
ieee: E. Moritzer, M. Hüttner, B. Henning, and M. Webersen, “Molekularen Schäden
auf der Spur,” Kunststoffe, no. 4, pp. 94–96, 2016.
mla: Moritzer, Elmar, et al. “Molekularen Schäden auf der Spur.” Kunststoffe,
no. 4, 2016, pp. 94–96.
short: E. Moritzer, M. Hüttner, B. Henning, M. Webersen, Kunststoffe (2016) 94–96.
date_created: 2019-09-13T13:15:33Z
date_updated: 2022-01-06T06:51:31Z
department:
- _id: '49'
issue: '4'
language:
- iso: ger
page: 94-96
publication: Kunststoffe
status: public
title: Molekularen Schäden auf der Spur
type: journal_article
user_id: '11289'
year: '2016'
...
---
_id: '13217'
author:
- first_name: Elmar
full_name: Moritzer, Elmar
last_name: Moritzer
- first_name: Matthias
full_name: Hüttner, Matthias
last_name: Hüttner
- first_name: Bernd
full_name: Henning, Bernd
id: '213'
last_name: Henning
- first_name: Manuel
full_name: Webersen, Manuel
id: '11289'
last_name: Webersen
orcid: 0000-0001-6411-4232
citation:
ama: Moritzer E, Hüttner M, Henning B, Webersen M. Detecting Molecular Damage. Kunststoffe
International. 2016;(4):43-45.
apa: Moritzer, E., Hüttner, M., Henning, B., & Webersen, M. (2016). Detecting
Molecular Damage. Kunststoffe International, (4), 43–45.
bibtex: '@article{Moritzer_Hüttner_Henning_Webersen_2016, title={Detecting Molecular
Damage}, number={4}, journal={Kunststoffe International}, author={Moritzer, Elmar
and Hüttner, Matthias and Henning, Bernd and Webersen, Manuel}, year={2016}, pages={43–45}
}'
chicago: 'Moritzer, Elmar, Matthias Hüttner, Bernd Henning, and Manuel Webersen.
“Detecting Molecular Damage.” Kunststoffe International, no. 4 (2016):
43–45.'
ieee: E. Moritzer, M. Hüttner, B. Henning, and M. Webersen, “Detecting Molecular
Damage,” Kunststoffe International, no. 4, pp. 43–45, 2016.
mla: Moritzer, Elmar, et al. “Detecting Molecular Damage.” Kunststoffe International,
no. 4, 2016, pp. 43–45.
short: E. Moritzer, M. Hüttner, B. Henning, M. Webersen, Kunststoffe International
(2016) 43–45.
date_created: 2019-09-13T13:16:27Z
date_updated: 2022-01-06T06:51:31Z
department:
- _id: '49'
issue: '4'
language:
- iso: eng
page: 43-45
publication: Kunststoffe International
status: public
title: Detecting Molecular Damage
type: journal_article
user_id: '11289'
year: '2016'
...