---
_id: '11717'
abstract:
- lang: eng
text: In this work, we address the limited availability of large annotated databases
for real-life audio event detection by utilizing the concept of transfer learning.
This technique aims to transfer knowledge from a source domain to a target domain,
even if source and target have different feature distributions and label sets.
We hypothesize that all acoustic events share the same inventory of basic acoustic
building blocks and differ only in the temporal order of these acoustic units.
We then construct a deep neural network with convolutional layers for extracting
the acoustic units and a recurrent layer for capturing the temporal order. Under
the above hypothesis, transfer learning from a source to a target domain with
a different acoustic event inventory is realized by transferring the convolutional
layers from the source to the target domain. The recurrent layer is, however,
learnt directly from the target domain. Experiments on the transfer from a synthetic
source database to the reallife target database of DCASE 2016 demonstrate that
transfer learning leads to improved detection performance on average. However,
the successful transfer to detect events which are very different from what was
seen in the source domain, could not be verified.
author:
- first_name: Prerna
full_name: Arora, Prerna
last_name: Arora
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Arora P, Haeb-Umbach R. A Study on Transfer Learning for Acoustic Event Detection
in a Real Life Scenario. In: IEEE 19th International Workshop on Multimedia
Signal Processing (MMSP). ; 2017.'
apa: Arora, P., & Haeb-Umbach, R. (2017). A Study on Transfer Learning for Acoustic
Event Detection in a Real Life Scenario. In IEEE 19th International Workshop
on Multimedia Signal Processing (MMSP).
bibtex: '@inproceedings{Arora_Haeb-Umbach_2017, title={A Study on Transfer Learning
for Acoustic Event Detection in a Real Life Scenario}, booktitle={IEEE 19th International
Workshop on Multimedia Signal Processing (MMSP)}, author={Arora, Prerna and Haeb-Umbach,
Reinhold}, year={2017} }'
chicago: Arora, Prerna, and Reinhold Haeb-Umbach. “A Study on Transfer Learning
for Acoustic Event Detection in a Real Life Scenario.” In IEEE 19th International
Workshop on Multimedia Signal Processing (MMSP), 2017.
ieee: P. Arora and R. Haeb-Umbach, “A Study on Transfer Learning for Acoustic Event
Detection in a Real Life Scenario,” in IEEE 19th International Workshop on
Multimedia Signal Processing (MMSP), 2017.
mla: Arora, Prerna, and Reinhold Haeb-Umbach. “A Study on Transfer Learning for
Acoustic Event Detection in a Real Life Scenario.” IEEE 19th International
Workshop on Multimedia Signal Processing (MMSP), 2017.
short: 'P. Arora, R. Haeb-Umbach, in: IEEE 19th International Workshop on Multimedia
Signal Processing (MMSP), 2017.'
date_created: 2019-07-12T05:26:54Z
date_updated: 2022-01-06T06:51:07Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2017/MMSP_2017_AroraHaeb.pdf
oa: '1'
publication: IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)
related_material:
link:
- description: Poster
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2017/MMSP_2017_AroraHaeb_poster.pdf
status: public
title: A Study on Transfer Learning for Acoustic Event Detection in a Real Life Scenario
type: conference
user_id: '44006'
year: '2017'
...
---
_id: '11735'
abstract:
- lang: eng
text: This report describes the computation of gradients by algorithmic differentiation
for statistically optimum beamforming operations. Especially the derivation of
complex-valued functions is a key component of this approach. Therefore the real-valued
algorithmic differentiation is extended via the complex-valued chain rule. In
addition to the basic mathematic operations the derivative of the eigenvalue problem
with complex-valued eigenvectors is one of the key results of this report. The
potential of this approach is shown with experimental results on the CHiME-3 challenge
database. There, the beamforming task is used as a front-end for an ASR system.
With the developed derivatives a joint optimization of a speech enhancement and
speech recognition system w.r.t. the recognition optimization criterion is possible.
author:
- first_name: Christoph
full_name: Boeddeker, Christoph
id: '40767'
last_name: Boeddeker
- first_name: Patrick
full_name: Hanebrink, Patrick
last_name: Hanebrink
- first_name: Lukas
full_name: Drude, Lukas
id: '11213'
last_name: Drude
- first_name: Jahn
full_name: Heymann, Jahn
id: '9168'
last_name: Heymann
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: Boeddeker C, Hanebrink P, Drude L, Heymann J, Haeb-Umbach R. On the Computation
of Complex-Valued Gradients with Application to Statistically Optimum Beamforming.;
2017.
apa: Boeddeker, C., Hanebrink, P., Drude, L., Heymann, J., & Haeb-Umbach, R.
(2017). On the Computation of Complex-valued Gradients with Application to
Statistically Optimum Beamforming.
bibtex: '@book{Boeddeker_Hanebrink_Drude_Heymann_Haeb-Umbach_2017, title={On the
Computation of Complex-valued Gradients with Application to Statistically Optimum
Beamforming}, author={Boeddeker, Christoph and Hanebrink, Patrick and Drude, Lukas
and Heymann, Jahn and Haeb-Umbach, Reinhold}, year={2017} }'
chicago: Boeddeker, Christoph, Patrick Hanebrink, Lukas Drude, Jahn Heymann, and
Reinhold Haeb-Umbach. On the Computation of Complex-Valued Gradients with Application
to Statistically Optimum Beamforming, 2017.
ieee: C. Boeddeker, P. Hanebrink, L. Drude, J. Heymann, and R. Haeb-Umbach, On
the Computation of Complex-valued Gradients with Application to Statistically
Optimum Beamforming. 2017.
mla: Boeddeker, Christoph, et al. On the Computation of Complex-Valued Gradients
with Application to Statistically Optimum Beamforming. 2017.
short: C. Boeddeker, P. Hanebrink, L. Drude, J. Heymann, R. Haeb-Umbach, On the
Computation of Complex-Valued Gradients with Application to Statistically Optimum
Beamforming, 2017.
date_created: 2019-07-12T05:27:15Z
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/2017/ArXiv_2017_BoeddekerHanebrinkHaeb_Article.pdf
oa: '1'
status: public
title: On the Computation of Complex-valued Gradients with Application to Statistically
Optimum Beamforming
type: report
user_id: '40767'
year: '2017'
...
---
_id: '11736'
abstract:
- lang: eng
text: In this paper we show how a neural network for spectral mask estimation for
an acoustic beamformer can be optimized by algorithmic differentiation. Using
the beamformer output SNR as the objective function to maximize, the gradient
is propagated through the beamformer all the way to the neural network which provides
the clean speech and noise masks from which the beamformer coefficients are estimated
by eigenvalue decomposition. A key theoretical result is the derivative of an
eigenvalue problem involving complex-valued eigenvectors. Experimental results
on the CHiME-3 challenge database demonstrate the effectiveness of the approach.
The tools developed in this paper are a key component for an end-to-end optimization
of speech enhancement and speech recognition.
author:
- first_name: Christoph
full_name: Boeddeker, Christoph
id: '40767'
last_name: Boeddeker
- first_name: Patrick
full_name: Hanebrink, Patrick
last_name: Hanebrink
- first_name: Lukas
full_name: Drude, Lukas
id: '11213'
last_name: Drude
- first_name: Jahn
full_name: Heymann, Jahn
id: '9168'
last_name: Heymann
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Boeddeker C, Hanebrink P, Drude L, Heymann J, Haeb-Umbach R. Optimizing Neural-Network
Supported Acoustic Beamforming by Algorithmic Differentiation. In: Proc. IEEE
Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP). ; 2017.'
apa: Boeddeker, C., Hanebrink, P., Drude, L., Heymann, J., & Haeb-Umbach, R.
(2017). Optimizing Neural-Network Supported Acoustic Beamforming by Algorithmic
Differentiation. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal
Processing (ICASSP).
bibtex: '@inproceedings{Boeddeker_Hanebrink_Drude_Heymann_Haeb-Umbach_2017, title={Optimizing
Neural-Network Supported Acoustic Beamforming by Algorithmic Differentiation},
booktitle={Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP)},
author={Boeddeker, Christoph and Hanebrink, Patrick and Drude, Lukas and Heymann,
Jahn and Haeb-Umbach, Reinhold}, year={2017} }'
chicago: Boeddeker, Christoph, Patrick Hanebrink, Lukas Drude, Jahn Heymann, and
Reinhold Haeb-Umbach. “Optimizing Neural-Network Supported Acoustic Beamforming
by Algorithmic Differentiation.” In Proc. IEEE Intl. Conf. on Acoustics, Speech
and Signal Processing (ICASSP), 2017.
ieee: C. Boeddeker, P. Hanebrink, L. Drude, J. Heymann, and R. Haeb-Umbach, “Optimizing
Neural-Network Supported Acoustic Beamforming by Algorithmic Differentiation,”
in Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP),
2017.
mla: Boeddeker, Christoph, et al. “Optimizing Neural-Network Supported Acoustic
Beamforming by Algorithmic Differentiation.” Proc. IEEE Intl. Conf. on Acoustics,
Speech and Signal Processing (ICASSP), 2017.
short: 'C. Boeddeker, P. Hanebrink, L. Drude, J. Heymann, R. Haeb-Umbach, in: Proc.
IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2017.'
date_created: 2019-07-12T05:27:16Z
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/2017/icassp_2017_boeddeker_paper.pdf
oa: '1'
publication: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP)
status: public
title: Optimizing Neural-Network Supported Acoustic Beamforming by Algorithmic Differentiation
type: conference
user_id: '44006'
year: '2017'
...
---
_id: '11737'
abstract:
- lang: eng
text: The benefits of both a logarithmic spectral amplitude (LSA) estimation and
a modeling in a generalized spectral domain (where short-time amplitudes are raised
to a generalized power exponent, not restricted to magnitude or power spectrum)
are combined in this contribution to achieve a better tradeoff between speech
quality and noise suppression in single-channel speech enhancement. A novel gain
function is derived to enhance the logarithmic generalized spectral amplitudes
of noisy speech. Experiments on the CHiME-3 dataset show that it outperforms the
famous minimum mean squared error (MMSE) LSA gain function of Ephraim and Malah
in terms of noise suppression by 1.4 dB, while the good speech quality of the
MMSE-LSA estimator is maintained.
author:
- first_name: Alleksej
full_name: Chinaev, Alleksej
last_name: Chinaev
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Chinaev A, Haeb-Umbach R. A Generalized Log-Spectral Amplitude Estimator for
Single-Channel Speech Enhancement. In: Proc. IEEE Intl. Conf. on Acoustics,
Speech and Signal Processing (ICASSP). ; 2017.'
apa: Chinaev, A., & Haeb-Umbach, R. (2017). A Generalized Log-Spectral Amplitude
Estimator for Single-Channel Speech Enhancement. In Proc. IEEE Intl. Conf.
on Acoustics, Speech and Signal Processing (ICASSP).
bibtex: '@inproceedings{Chinaev_Haeb-Umbach_2017, title={A Generalized Log-Spectral
Amplitude Estimator for Single-Channel Speech Enhancement}, booktitle={Proc. IEEE
Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP)}, author={Chinaev,
Alleksej and Haeb-Umbach, Reinhold}, year={2017} }'
chicago: Chinaev, Alleksej, and Reinhold Haeb-Umbach. “A Generalized Log-Spectral
Amplitude Estimator for Single-Channel Speech Enhancement.” In Proc. IEEE Intl.
Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2017.
ieee: A. Chinaev and R. Haeb-Umbach, “A Generalized Log-Spectral Amplitude Estimator
for Single-Channel Speech Enhancement,” in Proc. IEEE Intl. Conf. on Acoustics,
Speech and Signal Processing (ICASSP), 2017.
mla: Chinaev, Alleksej, and Reinhold Haeb-Umbach. “A Generalized Log-Spectral Amplitude
Estimator for Single-Channel Speech Enhancement.” Proc. IEEE Intl. Conf. on
Acoustics, Speech and Signal Processing (ICASSP), 2017.
short: 'A. Chinaev, R. Haeb-Umbach, in: Proc. IEEE Intl. Conf. on Acoustics, Speech
and Signal Processing (ICASSP), 2017.'
date_created: 2019-07-12T05:27:17Z
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/2017/ChinHaeb17.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/2017/ChinHaeb17_Slides.pdf
status: public
title: A Generalized Log-Spectral Amplitude Estimator for Single-Channel Speech Enhancement
type: conference
user_id: '44006'
year: '2017'
...
---
_id: '11754'
abstract:
- lang: eng
text: Recent advances in discriminatively trained mask estimation networks to extract
a single source utilizing beamforming techniques demonstrate, that the integration
of statistical models and deep neural networks (DNNs) are a promising approach
for robust automatic speech recognition (ASR) applications. In this contribution
we demonstrate how discriminatively trained embeddings on spectral features can
be tightly integrated into statistical model-based source separation to separate
and transcribe overlapping speech. Good generalization to unseen spatial configurations
is achieved by estimating a statistical model at test time, while still leveraging
discriminative training of deep clustering embeddings on a separate training set.
We formulate an expectation maximization (EM) algorithm which jointly estimates
a model for deep clustering embeddings and complex-valued spatial observations
in the short time Fourier transform (STFT) domain at test time. Extensive simulations
confirm, that the integrated model outperforms (a) a deep clustering model with
a subsequent beamforming step and (b) an EM-based model with a beamforming step
alone in terms of signal to distortion ratio (SDR) and perceptually motivated
metric (PESQ) gains. ASR results on a reverberated dataset further show, that
the aforementioned gains translate to reduced word error rates (WERs) even in
reverberant environments.
author:
- 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: 'Drude L, Haeb-Umbach R. Tight integration of spatial and spectral features
for BSS with Deep Clustering embeddings. In: INTERSPEECH 2017, Stockholm, Schweden.
; 2017.'
apa: Drude, L., & Haeb-Umbach, R. (2017). Tight integration of spatial and spectral
features for BSS with Deep Clustering embeddings. In INTERSPEECH 2017, Stockholm,
Schweden.
bibtex: '@inproceedings{Drude_Haeb-Umbach_2017, title={Tight integration of spatial
and spectral features for BSS with Deep Clustering embeddings}, booktitle={INTERSPEECH
2017, Stockholm, Schweden}, author={Drude, Lukas and Haeb-Umbach, Reinhold}, year={2017}
}'
chicago: Drude, Lukas, and Reinhold Haeb-Umbach. “Tight Integration of Spatial and
Spectral Features for BSS with Deep Clustering Embeddings.” In INTERSPEECH
2017, Stockholm, Schweden, 2017.
ieee: L. Drude and R. Haeb-Umbach, “Tight integration of spatial and spectral features
for BSS with Deep Clustering embeddings,” in INTERSPEECH 2017, Stockholm, Schweden,
2017.
mla: Drude, Lukas, and Reinhold Haeb-Umbach. “Tight Integration of Spatial and Spectral
Features for BSS with Deep Clustering Embeddings.” INTERSPEECH 2017, Stockholm,
Schweden, 2017.
short: 'L. Drude, R. Haeb-Umbach, in: INTERSPEECH 2017, Stockholm, Schweden, 2017.'
date_created: 2019-07-12T05:27:37Z
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/2017/INTERSPEECH_2017_Drude_paper.pdf
oa: '1'
publication: INTERSPEECH 2017, Stockholm, Schweden
related_material:
link:
- description: Slides
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2017/INTERSPEECH_2017_Drude_slides.pdf
status: public
title: Tight integration of spatial and spectral features for BSS with Deep Clustering
embeddings
type: conference
user_id: '44006'
year: '2017'
...
---
_id: '11770'
abstract:
- lang: eng
text: 'In this contribution we show how to exploit text data to support word discovery
from audio input in an underresourced target language. Given audio, of which a
certain amount is transcribed at the word level, and additional unrelated text
data, the approach is able to learn a probabilistic mapping from acoustic units
to characters and utilize it to segment the audio data into words without the
need of a pronunciation dictionary. This is achieved by three components: an unsupervised
acoustic unit discovery system, a supervisedly trained acoustic unit-to-grapheme
converter, and a word discovery system, which is initialized with a language model
trained on the text data. Experiments for multiple setups show that the initialization
of the language model with text data improves the word segementation performance
by a large margin.'
author:
- first_name: Thomas
full_name: Glarner, Thomas
id: '14169'
last_name: Glarner
- first_name: Benedikt
full_name: Boenninghoff, Benedikt
last_name: Boenninghoff
- 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: 'Glarner T, Boenninghoff B, Walter O, Haeb-Umbach R. Leveraging Text Data for
Word Segmentation for Underresourced Languages. In: INTERSPEECH 2017, Stockholm,
Schweden. ; 2017.'
apa: Glarner, T., Boenninghoff, B., Walter, O., & Haeb-Umbach, R. (2017). Leveraging
Text Data for Word Segmentation for Underresourced Languages. In INTERSPEECH
2017, Stockholm, Schweden.
bibtex: '@inproceedings{Glarner_Boenninghoff_Walter_Haeb-Umbach_2017, title={Leveraging
Text Data for Word Segmentation for Underresourced Languages}, booktitle={INTERSPEECH
2017, Stockholm, Schweden}, author={Glarner, Thomas and Boenninghoff, Benedikt
and Walter, Oliver and Haeb-Umbach, Reinhold}, year={2017} }'
chicago: Glarner, Thomas, Benedikt Boenninghoff, Oliver Walter, and Reinhold Haeb-Umbach.
“Leveraging Text Data for Word Segmentation for Underresourced Languages.” In
INTERSPEECH 2017, Stockholm, Schweden, 2017.
ieee: T. Glarner, B. Boenninghoff, O. Walter, and R. Haeb-Umbach, “Leveraging Text
Data for Word Segmentation for Underresourced Languages,” in INTERSPEECH 2017,
Stockholm, Schweden, 2017.
mla: Glarner, Thomas, et al. “Leveraging Text Data for Word Segmentation for Underresourced
Languages.” INTERSPEECH 2017, Stockholm, Schweden, 2017.
short: 'T. Glarner, B. Boenninghoff, O. Walter, R. Haeb-Umbach, in: INTERSPEECH
2017, Stockholm, Schweden, 2017.'
date_created: 2019-07-12T05:27:55Z
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/2017/INTERSPEECH_2017_Glarner_paper.pdf
oa: '1'
publication: INTERSPEECH 2017, Stockholm, Schweden
related_material:
link:
- description: Poster
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2017/INTERSPEECH_2017_Glarner_poster.pdf
status: public
title: Leveraging Text Data for Word Segmentation for Underresourced Languages
type: conference
user_id: '44006'
year: '2017'
...
---
_id: '1180'
abstract:
- lang: eng
text: These days, there is a strong rise in the needs for machine learning applications,
requiring an automation of machine learning engineering which is referred to as
AutoML. In AutoML the selection, composition and parametrization of machine learning
algorithms is automated and tailored to a specific problem, resulting in a machine
learning pipeline. Current approaches reduce the AutoML problem to optimization
of hyperparameters. Based on recursive task networks, in this paper we present
one approach from the field of automated planning and one evolutionary optimization
approach. Instead of simply parametrizing a given pipeline, this allows for structure
optimization of machine learning pipelines, as well. We evaluate the two approaches
in an extensive evaluation, finding both approaches to have their strengths in
different areas. Moreover, the two approaches outperform the state-of-the-art
tool Auto-WEKA in many settings.
author:
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Wever MD, Mohr F, Hüllermeier E. Automatic Machine Learning: Hierachical Planning
Versus Evolutionary Optimization. In: 27th Workshop Computational Intelligence.
Dortmund; 2017.'
apa: 'Wever, M. D., Mohr, F., & Hüllermeier, E. (2017). Automatic Machine Learning:
Hierachical Planning Versus Evolutionary Optimization. In 27th Workshop Computational
Intelligence. Dortmund.'
bibtex: '@inproceedings{Wever_Mohr_Hüllermeier_2017, place={Dortmund}, title={Automatic
Machine Learning: Hierachical Planning Versus Evolutionary Optimization}, booktitle={27th
Workshop Computational Intelligence}, author={Wever, Marcel Dominik and Mohr,
Felix and Hüllermeier, Eyke}, year={2017} }'
chicago: 'Wever, Marcel Dominik, Felix Mohr, and Eyke Hüllermeier. “Automatic Machine
Learning: Hierachical Planning Versus Evolutionary Optimization.” In 27th Workshop
Computational Intelligence. Dortmund, 2017.'
ieee: 'M. D. Wever, F. Mohr, and E. Hüllermeier, “Automatic Machine Learning: Hierachical
Planning Versus Evolutionary Optimization,” in 27th Workshop Computational
Intelligence, Dortmund, 2017.'
mla: 'Wever, Marcel Dominik, et al. “Automatic Machine Learning: Hierachical Planning
Versus Evolutionary Optimization.” 27th Workshop Computational Intelligence,
2017.'
short: 'M.D. Wever, F. Mohr, E. Hüllermeier, in: 27th Workshop Computational Intelligence,
Dortmund, 2017.'
conference:
end_date: 2017-11-24
location: Dortmund
name: 27th Workshop Computational Intelligence
start_date: 2017-11-23
date_created: 2018-02-22T07:19:18Z
date_updated: 2022-01-06T06:51:09Z
ddc:
- '000'
department:
- _id: '355'
file:
- access_level: closed
content_type: application/pdf
creator: wever
date_created: 2018-11-06T15:28:09Z
date_updated: 2018-11-06T15:28:09Z
file_id: '5387'
file_name: CI Workshop AutoML.pdf
file_size: 323589
relation: main_file
success: 1
file_date_updated: 2018-11-06T15:28:09Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://publikationen.bibliothek.kit.edu/1000074341/4643874
oa: '1'
place: Dortmund
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
publication: 27th Workshop Computational Intelligence
publication_status: published
status: public
title: 'Automatic Machine Learning: Hierachical Planning Versus Evolutionary Optimization'
type: conference
user_id: '49109'
year: '2017'
...
---
_id: '11809'
abstract:
- lang: eng
text: This paper presents an end-to-end training approach for a beamformer-supported
multi-channel ASR system. A neural network which estimates masks for a statistically
optimum beamformer is jointly trained with a network for acoustic modeling. To
update its parameters, we propagate the gradients from the acoustic model all
the way through feature extraction and the complex valued beamforming operation.
Besides avoiding a mismatch between the front-end and the back-end, this approach
also eliminates the need for stereo data, i.e., the parallel availability of clean
and noisy versions of the signals. Instead, it can be trained with real noisy
multichannel data only. Also, relying on the signal statistics for beamforming,
the approach makes no assumptions on the configuration of the microphone array.
We further observe a performance gain through joint training in terms of word
error rate in an evaluation of the system on the CHiME 4 dataset.
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: Christoph
full_name: Boeddeker, Christoph
id: '40767'
last_name: Boeddeker
- first_name: Patrick
full_name: Hanebrink, Patrick
last_name: Hanebrink
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Heymann J, Drude L, Boeddeker C, Hanebrink P, Haeb-Umbach R. BEAMNET: End-to-End
Training of a Beamformer-Supported Multi-Channel ASR System. In: Proc. IEEE
Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP). ; 2017.'
apa: 'Heymann, J., Drude, L., Boeddeker, C., Hanebrink, P., & Haeb-Umbach, R.
(2017). BEAMNET: End-to-End Training of a Beamformer-Supported Multi-Channel ASR
System. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing
(ICASSP).'
bibtex: '@inproceedings{Heymann_Drude_Boeddeker_Hanebrink_Haeb-Umbach_2017, title={BEAMNET:
End-to-End Training of a Beamformer-Supported Multi-Channel ASR System}, booktitle={Proc.
IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP)}, author={Heymann,
Jahn and Drude, Lukas and Boeddeker, Christoph and Hanebrink, Patrick and Haeb-Umbach,
Reinhold}, year={2017} }'
chicago: 'Heymann, Jahn, Lukas Drude, Christoph Boeddeker, Patrick Hanebrink, and
Reinhold Haeb-Umbach. “BEAMNET: End-to-End Training of a Beamformer-Supported
Multi-Channel ASR System.” In Proc. IEEE Intl. Conf. on Acoustics, Speech and
Signal Processing (ICASSP), 2017.'
ieee: 'J. Heymann, L. Drude, C. Boeddeker, P. Hanebrink, and R. Haeb-Umbach, “BEAMNET:
End-to-End Training of a Beamformer-Supported Multi-Channel ASR System,” in Proc.
IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2017.'
mla: 'Heymann, Jahn, et al. “BEAMNET: End-to-End Training of a Beamformer-Supported
Multi-Channel ASR System.” Proc. IEEE Intl. Conf. on Acoustics, Speech and
Signal Processing (ICASSP), 2017.'
short: 'J. Heymann, L. Drude, C. Boeddeker, P. Hanebrink, R. Haeb-Umbach, in: Proc.
IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2017.'
date_created: 2019-07-12T05:28:40Z
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/2017/icassp_2017_heymann_paper.pdf
oa: '1'
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP)
related_material:
link:
- description: Poster
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2017/icassp_2017_heymann_poster.pdf
status: public
title: 'BEAMNET: End-to-End Training of a Beamformer-Supported Multi-Channel ASR System'
type: conference
user_id: '40767'
year: '2017'
...
---
_id: '11811'
abstract:
- lang: eng
text: 'Acoustic beamforming can greatly improve the performance of Automatic Speech
Recognition (ASR) and speech enhancement systems when multiple channels are available.
We recently proposed a way to support the model-based Generalized Eigenvalue beamforming
operation with a powerful neural network for spectral mask estimation. The enhancement
system has a number of desirable properties. In particular, neither assumptions
need to be made about the nature of the acoustic transfer function (e.g., being
anechonic), nor does the array configuration need to be known. While the system
has been originally developed to enhance speech in noisy environments, we show
in this article that it is also effective in suppressing reverberation, thus leading
to a generic trainable multi-channel speech enhancement system for robust speech
processing. To support this claim, we consider two distinct datasets: The CHiME
3 challenge, which features challenging real-world noise distortions, and the
Reverb challenge, which focuses on distortions caused by reverberation. We evaluate
the system both with respect to a speech enhancement and a recognition task. For
the first task we propose a new way to cope with the distortions introduced by
the Generalized Eigenvalue beamformer by renormalizing the target energy for each
frequency bin, and measure its effectiveness in terms of the PESQ score. For the
latter we feed the enhanced signal to a strong DNN back-end and achieve state-of-the-art
ASR results on both datasets. We further experiment with different network architectures
for spectral mask estimation: One small feed-forward network with only one hidden
layer, one Convolutional Neural Network and one bi-directional Long Short-Term
Memory network, showing that even a small network is capable of delivering significant
performance improvements.'
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. A Generic Neural Acoustic Beamforming Architecture
for Robust Multi-Channel Speech Processing. Computer Speech and Language.
2017.
apa: Heymann, J., Drude, L., & Haeb-Umbach, R. (2017). A Generic Neural Acoustic
Beamforming Architecture for Robust Multi-Channel Speech Processing. Computer
Speech and Language.
bibtex: '@article{Heymann_Drude_Haeb-Umbach_2017, title={A Generic Neural Acoustic
Beamforming Architecture for Robust Multi-Channel Speech Processing}, journal={Computer
Speech and Language}, author={Heymann, Jahn and Drude, Lukas and Haeb-Umbach,
Reinhold}, year={2017} }'
chicago: Heymann, Jahn, Lukas Drude, and Reinhold Haeb-Umbach. “A Generic Neural
Acoustic Beamforming Architecture for Robust Multi-Channel Speech Processing.”
Computer Speech and Language, 2017.
ieee: J. Heymann, L. Drude, and R. Haeb-Umbach, “A Generic Neural Acoustic Beamforming
Architecture for Robust Multi-Channel Speech Processing,” Computer Speech and
Language, 2017.
mla: Heymann, Jahn, et al. “A Generic Neural Acoustic Beamforming Architecture for
Robust Multi-Channel Speech Processing.” Computer Speech and Language,
2017.
short: J. Heymann, L. Drude, R. Haeb-Umbach, Computer Speech and Language (2017).
date_created: 2019-07-12T05:28:43Z
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/2017/ComputerSpeechLanguage_2017_heymann_paper.pdf
oa: '1'
publication: Computer Speech and Language
status: public
title: A Generic Neural Acoustic Beamforming Architecture for Robust Multi-Channel
Speech Processing
type: journal_article
user_id: '44006'
year: '2017'
...
---
_id: '119'
author:
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
citation:
ama: Wever MD. Active Learning of User Requirement Specifications in Dynamic
Software Service Markets. Universität Paderborn; 2017.
apa: Wever, M. D. (2017). Active Learning of User Requirement Specifications
in Dynamic Software Service Markets. Universität Paderborn.
bibtex: '@book{Wever_2017, title={Active Learning of User Requirement Specifications
in Dynamic Software Service Markets}, publisher={Universität Paderborn}, author={Wever,
Marcel Dominik}, year={2017} }'
chicago: Wever, Marcel Dominik. Active Learning of User Requirement Specifications
in Dynamic Software Service Markets. Universität Paderborn, 2017.
ieee: M. D. Wever, Active Learning of User Requirement Specifications in Dynamic
Software Service Markets. Universität Paderborn, 2017.
mla: Wever, Marcel Dominik. Active Learning of User Requirement Specifications
in Dynamic Software Service Markets. Universität Paderborn, 2017.
short: M.D. Wever, Active Learning of User Requirement Specifications in Dynamic
Software Service Markets, Universität Paderborn, 2017.
date_created: 2017-10-17T12:41:14Z
date_updated: 2022-01-06T06:51:12Z
ddc:
- '000'
file:
- access_level: open_access
content_type: application/pdf
creator: wever
date_created: 2018-11-06T15:31:48Z
date_updated: 2020-07-16T11:53:45Z
file_id: '5388'
file_name: MT-export-2017-03-17.pdf
file_size: 4012186
relation: main_file
file_date_updated: 2020-07-16T11:53:45Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '1'
name: SFB 901
- _id: '9'
name: SFB 901 - Subprojekt B1
- _id: '3'
name: SFB 901 - Project Area B
publisher: Universität Paderborn
status: public
title: Active Learning of User Requirement Specifications in Dynamic Software Service
Markets
type: mastersthesis
user_id: '33176'
year: '2017'
...
---
_id: '15912'
author:
- first_name: Martin
full_name: Grothe, Martin
last_name: Grothe
- first_name: Tobias
full_name: Niemann, Tobias
last_name: Niemann
- first_name: Juraj
full_name: Somorovsky, Juraj
id: '83504'
last_name: Somorovsky
orcid: 0000-0002-3593-7720
- first_name: Jörg
full_name: Schwenk, Jörg
last_name: Schwenk
citation:
ama: 'Grothe M, Niemann T, Somorovsky J, Schwenk J. Breaking and Fixing Gridcoin.
In: 11th {USENIX} Workshop on Offensive Technologies ({WOOT} 17). Vancouver,
BC: {USENIX} Association; 2017.'
apa: 'Grothe, M., Niemann, T., Somorovsky, J., & Schwenk, J. (2017). Breaking
and Fixing Gridcoin. In 11th {USENIX} Workshop on Offensive Technologies ({WOOT}
17). Vancouver, BC: {USENIX} Association.'
bibtex: '@inproceedings{Grothe_Niemann_Somorovsky_Schwenk_2017, place={Vancouver,
BC}, title={Breaking and Fixing Gridcoin}, booktitle={11th {USENIX} Workshop on
Offensive Technologies ({WOOT} 17)}, publisher={{USENIX} Association}, author={Grothe,
Martin and Niemann, Tobias and Somorovsky, Juraj and Schwenk, Jörg}, year={2017}
}'
chicago: 'Grothe, Martin, Tobias Niemann, Juraj Somorovsky, and Jörg Schwenk. “Breaking
and Fixing Gridcoin.” In 11th {USENIX} Workshop on Offensive Technologies ({WOOT}
17). Vancouver, BC: {USENIX} Association, 2017.'
ieee: M. Grothe, T. Niemann, J. Somorovsky, and J. Schwenk, “Breaking and Fixing
Gridcoin,” in 11th {USENIX} Workshop on Offensive Technologies ({WOOT} 17),
2017.
mla: Grothe, Martin, et al. “Breaking and Fixing Gridcoin.” 11th {USENIX} Workshop
on Offensive Technologies ({WOOT} 17), {USENIX} Association, 2017.
short: 'M. Grothe, T. Niemann, J. Somorovsky, J. Schwenk, in: 11th {USENIX} Workshop
on Offensive Technologies ({WOOT} 17), {USENIX} Association, Vancouver, BC, 2017.'
date_created: 2020-02-15T10:05:49Z
date_updated: 2022-01-06T06:52:40Z
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.usenix.org/conference/woot17/workshop-program/presentation/grothe
oa: '1'
place: Vancouver, BC
publication: 11th {USENIX} Workshop on Offensive Technologies ({WOOT} 17)
publisher: '{USENIX} Association'
status: public
title: Breaking and Fixing Gridcoin
type: conference
user_id: '83504'
year: '2017'
...
---
_id: '10206'
author:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Theodor
full_name: Lettmann, Theodor
id: '315'
last_name: Lettmann
orcid: 0000-0001-5859-2457
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Mohr F, Lettmann T, Hüllermeier E. Planning with Independent Task Networks.
In: Proc. 40th Annual German Conference on Advances in Artificial Intelligence
(KI 2017). ; 2017:193-206. doi:10.1007/978-3-319-67190-1_15'
apa: Mohr, F., Lettmann, T., & Hüllermeier, E. (2017). Planning with Independent
Task Networks. In Proc. 40th Annual German Conference on Advances in Artificial
Intelligence (KI 2017) (pp. 193–206). https://doi.org/10.1007/978-3-319-67190-1_15
bibtex: '@inproceedings{Mohr_Lettmann_Hüllermeier_2017, title={Planning with Independent
Task Networks}, DOI={10.1007/978-3-319-67190-1_15},
booktitle={Proc. 40th Annual German Conference on Advances in Artificial Intelligence
(KI 2017)}, author={Mohr, Felix and Lettmann, Theodor and Hüllermeier, Eyke},
year={2017}, pages={193–206} }'
chicago: Mohr, Felix, Theodor Lettmann, and Eyke Hüllermeier. “Planning with Independent
Task Networks.” In Proc. 40th Annual German Conference on Advances in Artificial
Intelligence (KI 2017), 193–206, 2017. https://doi.org/10.1007/978-3-319-67190-1_15.
ieee: F. Mohr, T. Lettmann, and E. Hüllermeier, “Planning with Independent Task
Networks,” in Proc. 40th Annual German Conference on Advances in Artificial
Intelligence (KI 2017), 2017, pp. 193–206.
mla: Mohr, Felix, et al. “Planning with Independent Task Networks.” Proc. 40th
Annual German Conference on Advances in Artificial Intelligence (KI 2017),
2017, pp. 193–206, doi:10.1007/978-3-319-67190-1_15.
short: 'F. Mohr, T. Lettmann, E. Hüllermeier, in: Proc. 40th Annual German Conference
on Advances in Artificial Intelligence (KI 2017), 2017, pp. 193–206.'
date_created: 2019-06-07T15:24:16Z
date_updated: 2022-01-06T06:50:31Z
ddc:
- '000'
department:
- _id: '7'
- _id: '34'
- _id: '355'
doi: 10.1007/978-3-319-67190-1_15
file:
- access_level: open_access
content_type: application/pdf
creator: lettmann
date_created: 2020-02-28T12:50:18Z
date_updated: 2020-02-28T12:50:18Z
file_id: '16157'
file_name: ki17.pdf
file_size: 374421
relation: main_file
file_date_updated: 2020-02-28T12:50:18Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
page: 193-206
publication: Proc. 40th Annual German Conference on Advances in Artificial Intelligence
(KI 2017)
status: public
title: Planning with Independent Task Networks
type: conference
user_id: '315'
year: '2017'
...
---
_id: '30148'
author:
- first_name: Elena
full_name: Ficara, Elena
id: '35768'
last_name: Ficara
citation:
ama: Ficara E. Was ist Synthese? Fatum Magazin. 2017;6:9.
apa: Ficara, E. (2017). Was ist Synthese? Fatum Magazin, 6, 9.
bibtex: '@article{Ficara_2017, title={Was ist Synthese?}, volume={6}, journal={Fatum
Magazin}, author={Ficara, Elena}, year={2017}, pages={9} }'
chicago: 'Ficara, Elena. “Was ist Synthese?” Fatum Magazin 6 (2017): 9.'
ieee: E. Ficara, “Was ist Synthese?,” Fatum Magazin, vol. 6, p. 9, 2017.
mla: Ficara, Elena. “Was ist Synthese?” Fatum Magazin, vol. 6, 2017, p. 9.
short: E. Ficara, Fatum Magazin 6 (2017) 9.
date_created: 2022-02-27T19:46:01Z
date_updated: 2022-03-01T12:04:47Z
intvolume: ' 6'
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://www.fatum-magazin.de/ausgaben/synthese/was-ist-das-synthese/antwort-von-elena-ficara.html
oa: '1'
page: '9'
publication: Fatum Magazin
status: public
title: Was ist Synthese?
type: journal_article
user_id: '35768'
volume: 6
year: '2017'
...
---
_id: '29930'
author:
- first_name: Markus
full_name: Ott, Markus
last_name: Ott
- first_name: Alexander
full_name: Beckmann, Alexander
last_name: Beckmann
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: 'Ott M, Beckmann A, Böcker J. A Compensation Method for Production Tolerances
in Electric Drive Systems Using an Extended Open-Loop Torque Control. In: European
Battery, Hybrid and Fuel Cell Electric Vehicle Congress Geneva, 14th-16th March
2017. ; 2017.'
apa: Ott, M., Beckmann, A., & Böcker, J. (2017). A Compensation Method for Production
Tolerances in Electric Drive Systems Using an Extended Open-Loop Torque Control.
European Battery, Hybrid and Fuel Cell Electric Vehicle Congress Geneva, 14th-16th
March 2017. European Battery, Hybrid and Fuel Cell Electric Vehicle Congress,
Geneva, Switzerland.
bibtex: '@inproceedings{Ott_Beckmann_Böcker_2017, title={A Compensation Method for
Production Tolerances in Electric Drive Systems Using an Extended Open-Loop Torque
Control}, booktitle={European Battery, Hybrid and Fuel Cell Electric Vehicle Congress
Geneva, 14th-16th March 2017}, author={Ott, Markus and Beckmann, Alexander and
Böcker, Joachim}, year={2017} }'
chicago: Ott, Markus, Alexander Beckmann, and Joachim Böcker. “A Compensation Method
for Production Tolerances in Electric Drive Systems Using an Extended Open-Loop
Torque Control.” In European Battery, Hybrid and Fuel Cell Electric Vehicle
Congress Geneva, 14th-16th March 2017, 2017.
ieee: M. Ott, A. Beckmann, and J. Böcker, “A Compensation Method for Production
Tolerances in Electric Drive Systems Using an Extended Open-Loop Torque Control,”
presented at the European Battery, Hybrid and Fuel Cell Electric Vehicle Congress,
Geneva, Switzerland, 2017.
mla: Ott, Markus, et al. “A Compensation Method for Production Tolerances in Electric
Drive Systems Using an Extended Open-Loop Torque Control.” European Battery,
Hybrid and Fuel Cell Electric Vehicle Congress Geneva, 14th-16th March 2017,
2017.
short: 'M. Ott, A. Beckmann, J. Böcker, in: European Battery, Hybrid and Fuel Cell
Electric Vehicle Congress Geneva, 14th-16th March 2017, 2017.'
conference:
location: Geneva, Switzerland
name: European Battery, Hybrid and Fuel Cell Electric Vehicle Congress
start_date: 2017-03
date_created: 2022-02-21T12:58:24Z
date_updated: 2022-03-02T08:20:59Z
ddc:
- '620'
department:
- _id: '34'
- _id: '52'
file:
- access_level: open_access
content_type: application/pdf
creator: boecker
date_created: 2022-02-21T12:56:13Z
date_updated: 2022-03-02T08:20:59Z
file_id: '29932'
file_name: 2017-Ott-Beckmann-Boecker.pdf
file_size: 1226838
relation: main_file
file_date_updated: 2022-03-02T08:20:59Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
publication: European Battery, Hybrid and Fuel Cell Electric Vehicle Congress Geneva,
14th-16th March 2017
status: public
title: A Compensation Method for Production Tolerances in Electric Drive Systems Using
an Extended Open-Loop Torque Control
type: conference
user_id: '66'
year: '2017'
...
---
_id: '24363'
author:
- first_name: Ilona
full_name: Horwath, Ilona
last_name: Horwath
citation:
ama: 'Horwath I. Scotts Institutionenbegriff als Heuristik zur Analyse von Geschlechterverhältnissen
in Organisationen: Inspirationsquelle „Geschlechterwissen. In: Scotts Institutionenbegriff
Als Heuristik Zur Analyse von Geschlechterverhältnissen in Organisationen: Inspirationsquelle
„Geschlechterwissen,. ; 2017.'
apa: 'Horwath, I. (2017). Scotts Institutionenbegriff als Heuristik zur Analyse
von Geschlechterverhältnissen in Organisationen: Inspirationsquelle „Geschlechterwissen.
In Scotts Institutionenbegriff Als Heuristik Zur Analyse von Geschlechterverhältnissen
in Organisationen: Inspirationsquelle „Geschlechterwissen,.'
bibtex: '@inbook{Horwath_2017, title={Scotts Institutionenbegriff als Heuristik
zur Analyse von Geschlechterverhältnissen in Organisationen: Inspirationsquelle
„Geschlechterwissen}, booktitle={Scotts Institutionenbegriff Als Heuristik Zur
Analyse von Geschlechterverhältnissen in Organisationen: Inspirationsquelle „Geschlechterwissen,},
author={Horwath, Ilona}, year={2017} }'
chicago: 'Horwath, Ilona. “Scotts Institutionenbegriff Als Heuristik Zur Analyse
von Geschlechterverhältnissen in Organisationen: Inspirationsquelle „Geschlechterwissen.”
In Scotts Institutionenbegriff Als Heuristik Zur Analyse von Geschlechterverhältnissen
in Organisationen: Inspirationsquelle „Geschlechterwissen, 2017.'
ieee: 'I. Horwath, “Scotts Institutionenbegriff als Heuristik zur Analyse von Geschlechterverhältnissen
in Organisationen: Inspirationsquelle „Geschlechterwissen,” in Scotts Institutionenbegriff
Als Heuristik Zur Analyse von Geschlechterverhältnissen in Organisationen: Inspirationsquelle
„Geschlechterwissen, 2017.'
mla: 'Horwath, Ilona. “Scotts Institutionenbegriff Als Heuristik Zur Analyse von
Geschlechterverhältnissen in Organisationen: Inspirationsquelle „Geschlechterwissen.”
Scotts Institutionenbegriff Als Heuristik Zur Analyse von Geschlechterverhältnissen
in Organisationen: Inspirationsquelle „Geschlechterwissen, 2017.'
short: 'I. Horwath, in: Scotts Institutionenbegriff Als Heuristik Zur Analyse von
Geschlechterverhältnissen in Organisationen: Inspirationsquelle „Geschlechterwissen,
2017.'
date_created: 2021-09-14T10:09:29Z
date_updated: 2022-04-21T18:21:40Z
ddc:
- '300'
department:
- _id: '603'
file:
- access_level: open_access
content_type: application/pdf
creator: innem
date_created: 2021-09-14T10:07:48Z
date_updated: 2021-09-14T10:07:48Z
file_id: '24364'
file_name: Horwath_2017.pdf
file_size: 476743
relation: main_file
file_date_updated: 2021-09-14T10:07:48Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
publication: 'Scotts Institutionenbegriff Als Heuristik Zur Analyse von Geschlechterverhältnissen
in Organisationen: Inspirationsquelle „Geschlechterwissen,'
quality_controlled: '1'
status: public
title: 'Scotts Institutionenbegriff als Heuristik zur Analyse von Geschlechterverhältnissen
in Organisationen: Inspirationsquelle „Geschlechterwissen'
type: book_chapter
user_id: '83744'
year: '2017'
...
---
_id: '9986'
abstract:
- lang: ger
text: Das Ultraschall-Drahtbonden mit Aluminiumdraht ist aktuell ein Standardverfahren
zur Kontaktierung von Leistungshalbleitermodulen. Jedoch soll die Einführung von
Kupferdraht als Bondmaterial in der Zukunft zu zahlreichen Verbesserungen der
Module führen. Dies ist bedingt durch die wesentlich besseren elektrischen und
thermischen Eigenschaften von Kupfer gegenüber Aluminium, die dazu führen, dass
z. B. eine weitere Miniaturisierung elektrischer Komponenten möglich wird. Darüber
hinaus könnte insbesondere die Verlässlichkeit der Module signifikant verbessert
werden. Doch bisher wurde Kupferdraht trotz seiner überlegenen physikalischen
Eigenschaften im Wesentlichen nur vereinzelt eingesetzt, da der Prozess deutlich
empfindlicher auf Störgrößen reagiert. Um dennoch zuverlässige Kupferbondverbindungen
in Leistungshalbleitermodulen herstellen zu können, wird in dieser Arbeit ein
Verfahren vorgestellt, das die Herstellung von Ultraschall-Bondverbindungen mittels
modellbasierter Mehrzieloptimierung realisiert. Dazu ist umfangreiches Prozesswissen
in Form eines geeigneten Modells für den Bondprozess notwendig. Das vorgestellte
Modell ist in der Lage, alle notwendigen Effekte und den Einfluss wesentlicher
Prozessparameter detailliert abzubilden, sodass eine anschließende Mehrzieloptimierung
zur Bestimmung der pareto-optimalen Betriebspunkte und zugehörigen Prozessparameter
ermöglicht wird. Die dafür notwendigen Teilmodelle und Mehrzieloptimierungen werden
dargestellt und validiert. Überdies wird ein Prototyp in Form einer modifizierten
Bondmaschine inklusive einer Möglichkeit zur Verhaltensanpassung aufgebaut und
getestet.
author:
- first_name: Andreas
full_name: Unger, Andreas
last_name: Unger
citation:
ama: Unger A. Modellbasierte Mehrzieloptimierung Zur Herstellung von Ultraschall-Drahtbondverbindungen
in Leistungshalbleitermodulen. Universität Paderborn; 2017.
apa: Unger, A. (2017). Modellbasierte Mehrzieloptimierung zur Herstellung von
Ultraschall-Drahtbondverbindungen in Leistungshalbleitermodulen. Universität
Paderborn.
bibtex: '@book{Unger_2017, title={Modellbasierte Mehrzieloptimierung zur Herstellung
von Ultraschall-Drahtbondverbindungen in Leistungshalbleitermodulen}, publisher={Universität
Paderborn}, author={Unger, Andreas}, year={2017} }'
chicago: Unger, Andreas. Modellbasierte Mehrzieloptimierung Zur Herstellung von
Ultraschall-Drahtbondverbindungen in Leistungshalbleitermodulen. Universität
Paderborn, 2017.
ieee: A. Unger, Modellbasierte Mehrzieloptimierung zur Herstellung von Ultraschall-Drahtbondverbindungen
in Leistungshalbleitermodulen. Universität Paderborn, 2017.
mla: Unger, Andreas. Modellbasierte Mehrzieloptimierung Zur Herstellung von Ultraschall-Drahtbondverbindungen
in Leistungshalbleitermodulen. Universität Paderborn, 2017.
short: A. Unger, Modellbasierte Mehrzieloptimierung Zur Herstellung von Ultraschall-Drahtbondverbindungen
in Leistungshalbleitermodulen, Universität Paderborn, 2017.
date_created: 2019-05-27T09:54:33Z
date_updated: 2022-12-07T14:35:06Z
department:
- _id: '151'
extern: '1'
keyword:
- Drahtbondverbindungen
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://digital.ub.uni-paderborn.de/hs/id/2601656
oa: '1'
publisher: Universität Paderborn
status: public
title: Modellbasierte Mehrzieloptimierung zur Herstellung von Ultraschall-Drahtbondverbindungen
in Leistungshalbleitermodulen
type: dissertation
user_id: '210'
year: '2017'
...
---
_id: '13110'
author:
- first_name: Ruth Edith
full_name: Hagengruber, Ruth Edith
id: '198'
last_name: Hagengruber
orcid: https://orcid.org/0000-0003-3360-6335
citation:
ama: Hagengruber RE. Bergès, Sandrine; Coffee, Alan (Eds.). The Social and Political
Philosophy of Mary Wollstonecraft. Oxford University Press, 2017. Published online
2017.
apa: Hagengruber, R. E. (2017). Bergès, Sandrine; Coffee, Alan (Eds.). The Social
and Political Philosophy of Mary Wollstonecraft. Oxford University Press, 2017.
bibtex: '@article{Hagengruber_2017, title={Bergès, Sandrine; Coffee, Alan (Eds.).
The Social and Political Philosophy of Mary Wollstonecraft. Oxford University
Press, 2017.}, author={Hagengruber, Ruth Edith}, year={2017} }'
chicago: Hagengruber, Ruth Edith. “Bergès, Sandrine; Coffee, Alan (Eds.). The Social
and Political Philosophy of Mary Wollstonecraft. Oxford University Press, 2017.,”
2017.
ieee: R. E. Hagengruber, “Bergès, Sandrine; Coffee, Alan (Eds.). The Social and
Political Philosophy of Mary Wollstonecraft. Oxford University Press, 2017.” 2017.
mla: Hagengruber, Ruth Edith. Bergès, Sandrine; Coffee, Alan (Eds.). The Social
and Political Philosophy of Mary Wollstonecraft. Oxford University Press, 2017.
2017.
short: R.E. Hagengruber, (2017).
date_created: 2019-08-30T12:11:18Z
date_updated: 2022-12-08T23:38:44Z
department:
- _id: '519'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://ndpr.nd.edu/news/the-social-and-political-philosophy-of-mary-wollstonecraft-2/
oa: '1'
publication_status: published
status: public
title: Bergès, Sandrine; Coffee, Alan (Eds.). The Social and Political Philosophy
of Mary Wollstonecraft. Oxford University Press, 2017.
type: review
user_id: '49063'
year: '2017'
...
---
_id: '35065'
author:
- first_name: Johannes
full_name: Süßmann, Johannes
id: '16220'
last_name: Süßmann
orcid: 0000-0001-5716-0863
citation:
ama: 'Süßmann J. Religion und Politik im Röhrentruper Rezeß von 1617. [Laudatio
auf Johannes Stüer.] . In: Universität Paderborn, ed. Neujahrsempfang der Universität
Paderborn 15. Januar 2017. Laudationes. ; 2017:17 f.'
apa: Süßmann, J. (2017). Religion und Politik im Röhrentruper Rezeß von 1617. [Laudatio
auf Johannes Stüer.] . In Universität Paderborn (Ed.), Neujahrsempfang der
Universität Paderborn 15. Januar 2017. Laudationes (p. 17 f.).
bibtex: '@inproceedings{Süßmann_2017, place={Paderborn}, title={Religion und Politik
im Röhrentruper Rezeß von 1617. [Laudatio auf Johannes Stüer.] }, booktitle={Neujahrsempfang
der Universität Paderborn 15. Januar 2017. Laudationes}, author={Süßmann, Johannes},
editor={Universität Paderborn}, year={2017}, pages={17 f.} }'
chicago: Süßmann, Johannes. “Religion und Politik im Röhrentruper Rezeß von 1617.
[Laudatio auf Johannes Stüer.] .” In Neujahrsempfang der Universität Paderborn
15. Januar 2017. Laudationes, edited by Universität Paderborn, 17 f. Paderborn,
2017.
ieee: J. Süßmann, “Religion und Politik im Röhrentruper Rezeß von 1617. [Laudatio
auf Johannes Stüer.] ,” in Neujahrsempfang der Universität Paderborn 15. Januar
2017. Laudationes, 2017, p. 17 f.
mla: Süßmann, Johannes. “Religion und Politik im Röhrentruper Rezeß von 1617. [Laudatio
auf Johannes Stüer.] .” Neujahrsempfang der Universität Paderborn 15. Januar
2017. Laudationes, edited by Universität Paderborn, 2017, p. 17 f.
short: 'J. Süßmann, in: Universität Paderborn (Ed.), Neujahrsempfang der Universität
Paderborn 15. Januar 2017. Laudationes, Paderborn, 2017, p. 17 f.'
corporate_editor:
- Universität Paderborn
date_created: 2022-12-29T14:37:08Z
date_updated: 2022-12-29T14:55:46Z
department:
- _id: '446'
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://www.uni-paderborn.de/fileadmin/nachrichten/2010-19/2017/Januar/Heft_Laudationes_2017.pdf
oa: '1'
page: 17 f.
place: Paderborn
publication: Neujahrsempfang der Universität Paderborn 15. Januar 2017. Laudationes
publication_status: published
status: public
title: 'Religion und Politik im Röhrentruper Rezeß von 1617. [Laudatio auf Johannes
Stüer.] '
type: conference_abstract
user_id: '16220'
year: '2017'
...
---
_id: '29248'
article_type: original
author:
- first_name: Isabel
full_name: Steinhardt, Isabel
id: '90339'
last_name: Steinhardt
orcid: https://orcid.org/0000-0002-2590-6189
- first_name: Philipp
full_name: Pohlenz, Philipp
last_name: Pohlenz
- first_name: Marianne
full_name: Merkt, Marianne
last_name: Merkt
citation:
ama: 'Steinhardt I, Pohlenz P, Merkt M. Editorial: Reclaiming Quality Development:
Forschung über Lehre und Studium als Teil der Qualitätsentwicklung . Zeitschrift
für Hochschulentwicklung. 2017;12(3). doi:10.3217/zfhe-12-03/01'
apa: 'Steinhardt, I., Pohlenz, P., & Merkt, M. (2017). Editorial: Reclaiming
Quality Development: Forschung über Lehre und Studium als Teil der Qualitätsentwicklung
. Zeitschrift für Hochschulentwicklung, 12(3). https://doi.org/10.3217/zfhe-12-03/01'
bibtex: '@article{Steinhardt_Pohlenz_Merkt_2017, title={Editorial: Reclaiming Quality
Development: Forschung über Lehre und Studium als Teil der Qualitätsentwicklung
}, volume={12}, DOI={10.3217/zfhe-12-03/01},
number={3}, journal={Zeitschrift für Hochschulentwicklung}, author={Steinhardt,
Isabel and Pohlenz, Philipp and Merkt, Marianne}, year={2017} }'
chicago: 'Steinhardt, Isabel, Philipp Pohlenz, and Marianne Merkt. “Editorial: Reclaiming
Quality Development: Forschung über Lehre und Studium als Teil der Qualitätsentwicklung
.” Zeitschrift für Hochschulentwicklung 12, no. 3 (2017). https://doi.org/10.3217/zfhe-12-03/01.'
ieee: 'I. Steinhardt, P. Pohlenz, and M. Merkt, “Editorial: Reclaiming Quality Development:
Forschung über Lehre und Studium als Teil der Qualitätsentwicklung ,” Zeitschrift
für Hochschulentwicklung, vol. 12, no. 3, 2017, doi: 10.3217/zfhe-12-03/01.'
mla: 'Steinhardt, Isabel, et al. “Editorial: Reclaiming Quality Development: Forschung
über Lehre und Studium als Teil der Qualitätsentwicklung .” Zeitschrift für
Hochschulentwicklung, vol. 12, no. 3, 2017, doi:10.3217/zfhe-12-03/01.'
short: I. Steinhardt, P. Pohlenz, M. Merkt, Zeitschrift für Hochschulentwicklung
12 (2017).
date_created: 2022-01-11T16:22:16Z
date_updated: 2022-01-11T16:35:50Z
department:
- _id: '477'
doi: 10.3217/zfhe-12-03/01
extern: '1'
intvolume: ' 12'
issue: '3'
language:
- iso: ger
main_file_link:
- open_access: '1'
oa: '1'
publication: Zeitschrift für Hochschulentwicklung
publication_status: published
status: public
title: 'Editorial: Reclaiming Quality Development: Forschung über Lehre und Studium
als Teil der Qualitätsentwicklung '
type: journal_article
user_id: '90339'
volume: 12
year: '2017'
...
---
_id: '29735'
abstract:
- lang: eng
text: 'The present volume has aimed to cover a broad range of approaches to agency
at work, exploring its relationship with professional learning and development.
Thus, the chapters included in this book have discussed the role of agency in
learning and development, considering a variety of working life contexts and applying
both conceptual and empirical perspectives. This final chapter provides an overview
of both the conceptual approaches and the empirical implementations. We see the
perspectives as complementary. From the content of the book, we discern the phenomena
as falling on two main dimensions, clustering at opposite ends of these dimensions.
Thus, the following contrasts are evidenced: (a) agency understood as a personal
capacity, vs. agency as behaviour, and (b) agency as an individual phenomenon,
vs. agency as a collective phenomenon. All the chapters emphasise that agency
is needed for learning and development. However, they differ in how they view
the relationships between the concepts. They also exhibit differences in the empirical
decisions taken and the research strategies chosen. In this concluding chapter,
we discuss the main similarities and differences emerging from the chapters. We
also highlight avenues for future research on agency and its relationship with
professional learning.'
author:
- first_name: Susanna
full_name: Paloniemi, Susanna
last_name: Paloniemi
- first_name: Michael
full_name: Goller, Michael
id: '30984'
last_name: Goller
orcid: 0000-0002-2820-9178
citation:
ama: 'Paloniemi S, Goller M. The Multifaceted Nature of Agency and Professional
Learning. In: Goller M, Paloniemi S, eds. Agency at Work: An Agentic Perspective
on Professional Learning and Development. Springer International Publishing;
2017:465-478. doi:10.1007/978-3-319-60943-0_23'
apa: 'Paloniemi, S., & Goller, M. (2017). The Multifaceted Nature of Agency
and Professional Learning. In M. Goller & S. Paloniemi (Eds.), Agency at
work: An agentic perspective on professional learning and development (pp.
465–478). Springer International Publishing. https://doi.org/10.1007/978-3-319-60943-0_23'
bibtex: '@inbook{Paloniemi_Goller_2017, place={Cham}, title={The Multifaceted Nature
of Agency and Professional Learning}, DOI={10.1007/978-3-319-60943-0_23},
booktitle={Agency at work: An agentic perspective on professional learning and
development}, publisher={Springer International Publishing}, author={Paloniemi,
Susanna and Goller, Michael}, editor={Goller, Michael and Paloniemi, Susanna},
year={2017}, pages={465–478} }'
chicago: 'Paloniemi, Susanna, and Michael Goller. “The Multifaceted Nature of Agency
and Professional Learning.” In Agency at Work: An Agentic Perspective on Professional
Learning and Development, edited by Michael Goller and Susanna Paloniemi,
465–78. Cham: Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-60943-0_23.'
ieee: 'S. Paloniemi and M. Goller, “The Multifaceted Nature of Agency and Professional
Learning,” in Agency at work: An agentic perspective on professional learning
and development, M. Goller and S. Paloniemi, Eds. Cham: Springer International
Publishing, 2017, pp. 465–478.'
mla: 'Paloniemi, Susanna, and Michael Goller. “The Multifaceted Nature of Agency
and Professional Learning.” Agency at Work: An Agentic Perspective on Professional
Learning and Development, edited by Michael Goller and Susanna Paloniemi,
Springer International Publishing, 2017, pp. 465–78, doi:10.1007/978-3-319-60943-0_23.'
short: 'S. Paloniemi, M. Goller, in: M. Goller, S. Paloniemi (Eds.), Agency at Work:
An Agentic Perspective on Professional Learning and Development, Springer International
Publishing, Cham, 2017, pp. 465–478.'
date_created: 2022-02-03T12:26:49Z
date_updated: 2022-02-03T13:26:36Z
department:
- _id: '452'
doi: 10.1007/978-3-319-60943-0_23
editor:
- first_name: Michael
full_name: Goller, Michael
last_name: Goller
- first_name: Susanna
full_name: Paloniemi, Susanna
last_name: Paloniemi
keyword:
- Agency
- Workplace learning
- Professional development
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://link.springer.com/chapter/10.1007/978-3-319-60943-0_23
oa: '1'
page: 465-478
place: Cham
publication: 'Agency at work: An agentic perspective on professional learning and
development'
publication_identifier:
isbn:
- '9783319609423'
- '9783319609430'
issn:
- 2210-5549
- 2210-5557
publication_status: published
publisher: Springer International Publishing
status: public
title: The Multifaceted Nature of Agency and Professional Learning
type: book_chapter
user_id: '79910'
year: '2017'
...