---
_id: '45326'
author:
- first_name: Annalisa
full_name: Mattei, Annalisa
id: '84086'
last_name: Mattei
- first_name: Oxana
full_name: Eremin, Oxana
last_name: Eremin
citation:
ama: 'Mattei A, Eremin O. Corona und Krise. Perspektiven erziehungswissenschaftlicher
Frauen- und Geschlechterforschung. In: Bericht zur Jahrestagung der Sektion
Frauen- und Geschlechterforschung in der Erziehungswissenschaft in der Deutschen
Gesellschaft für Erziehungswissenschaft. Journal Netzwerk Frauen- und Geschlechterforschung
NRW Nr. 49/2021. ; 2021:87-89.'
apa: Mattei, A., & Eremin, O. (2021). Corona und Krise. Perspektiven erziehungswissenschaftlicher
Frauen- und Geschlechterforschung. Bericht zur Jahrestagung der Sektion Frauen-
und Geschlechterforschung in der Erziehungswissenschaft in der Deutschen Gesellschaft
für Erziehungswissenschaft, 87–89.
bibtex: '@inproceedings{Mattei_Eremin_2021, series={Journal Netzwerk Frauen- und
Geschlechterforschung NRW Nr. 49/2021}, title={Corona und Krise. Perspektiven
erziehungswissenschaftlicher Frauen- und Geschlechterforschung}, booktitle={Bericht
zur Jahrestagung der Sektion Frauen- und Geschlechterforschung in der Erziehungswissenschaft
in der Deutschen Gesellschaft für Erziehungswissenschaft}, author={Mattei, Annalisa
and Eremin, Oxana}, year={2021}, pages={87–89}, collection={Journal Netzwerk Frauen-
und Geschlechterforschung NRW Nr. 49/2021} }'
chicago: Mattei, Annalisa, and Oxana Eremin. “Corona und Krise. Perspektiven erziehungswissenschaftlicher
Frauen- und Geschlechterforschung.” In Bericht zur Jahrestagung der Sektion
Frauen- und Geschlechterforschung in der Erziehungswissenschaft in der Deutschen
Gesellschaft für Erziehungswissenschaft, 87–89. Journal Netzwerk Frauen- und
Geschlechterforschung NRW Nr. 49/2021, 2021.
ieee: A. Mattei and O. Eremin, “Corona und Krise. Perspektiven erziehungswissenschaftlicher
Frauen- und Geschlechterforschung,” in Bericht zur Jahrestagung der Sektion
Frauen- und Geschlechterforschung in der Erziehungswissenschaft in der Deutschen
Gesellschaft für Erziehungswissenschaft, Europa-Universität Flensburg , 2021,
pp. 87–89.
mla: Mattei, Annalisa, and Oxana Eremin. “Corona und Krise. Perspektiven erziehungswissenschaftlicher
Frauen- und Geschlechterforschung.” Bericht zur Jahrestagung der Sektion Frauen-
und Geschlechterforschung in der Erziehungswissenschaft in der Deutschen Gesellschaft
für Erziehungswissenschaft, 2021, pp. 87–89.
short: 'A. Mattei, O. Eremin, in: Bericht zur Jahrestagung der Sektion Frauen- und
Geschlechterforschung in der Erziehungswissenschaft in der Deutschen Gesellschaft
für Erziehungswissenschaft, 2021, pp. 87–89.'
conference:
location: 'Europa-Universität Flensburg '
name: Bericht zur Jahrestagung der Sektion Frauen- und Geschlechterforschung in
der Erziehungswissenschaft in der Deutschen Gesellschaft für Erziehungswissenschaft
am 04., 12. und 26. März
date_created: 2023-05-29T17:04:22Z
date_updated: 2023-06-20T19:44:58Z
department:
- _id: '405'
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://www.netzwerk-fgf.nrw.de/fileadmin/media/media-fgf/download/publikationen/netzwerk_fgf_journal_49_f_web.pdf
oa: '1'
page: 87-89
publication: Bericht zur Jahrestagung der Sektion Frauen- und Geschlechterforschung
in der Erziehungswissenschaft in der Deutschen Gesellschaft für Erziehungswissenschaft
publication_status: published
series_title: Journal Netzwerk Frauen- und Geschlechterforschung NRW Nr. 49/2021
status: public
title: Corona und Krise. Perspektiven erziehungswissenschaftlicher Frauen- und Geschlechterforschung
type: conference
user_id: '49063'
year: '2021'
...
---
_id: '45319'
author:
- first_name: Susanne Jutta
full_name: Schemmer, Susanne Jutta
id: '63477'
last_name: Schemmer
- first_name: Dietmar
full_name: Heisler, Dietmar
last_name: Heisler
- first_name: Julia
full_name: Rink, Julia
last_name: Rink
citation:
ama: 'Schemmer SJ, Heisler D, Rink J. Entwicklungschance oder Warteschleife? Berufsorientierung
und Berufswahl in der Berufsfachschule. In: Weyland U, Ziegler B, Driesel-Lange
K, Kruse A, eds. Entwicklungen und Perspektiven in der Berufsorientierung.
Stand und Herausforderungen. Online: (06.12.2021). Verlag Barbara Budrich;
2021:60-78.'
apa: 'Schemmer, S. J., Heisler, D., & Rink, J. (2021). Entwicklungschance oder
Warteschleife? Berufsorientierung und Berufswahl in der Berufsfachschule. In U.
Weyland, B. Ziegler, K. Driesel-Lange, & A. Kruse (Eds.), Entwicklungen
und Perspektiven in der Berufsorientierung. Stand und Herausforderungen. Online:
(06.12.2021) (pp. 60–78). Verlag Barbara Budrich.'
bibtex: '@inbook{Schemmer_Heisler_Rink_2021, place={Bonn}, title={Entwicklungschance
oder Warteschleife? Berufsorientierung und Berufswahl in der Berufsfachschule},
booktitle={Entwicklungen und Perspektiven in der Berufsorientierung. Stand und
Herausforderungen. Online: (06.12.2021)}, publisher={Verlag Barbara Budrich},
author={Schemmer, Susanne Jutta and Heisler, Dietmar and Rink, Julia}, editor={Weyland,
Ulrike and Ziegler, Birgit and Driesel-Lange, Katja and Kruse, Annika}, year={2021},
pages={60–78} }'
chicago: 'Schemmer, Susanne Jutta, Dietmar Heisler, and Julia Rink. “Entwicklungschance
oder Warteschleife? Berufsorientierung und Berufswahl in der Berufsfachschule.”
In Entwicklungen und Perspektiven in der Berufsorientierung. Stand und Herausforderungen.
Online: (06.12.2021), edited by Ulrike Weyland, Birgit Ziegler, Katja Driesel-Lange,
and Annika Kruse, 60–78. Bonn: Verlag Barbara Budrich, 2021.'
ieee: 'S. J. Schemmer, D. Heisler, and J. Rink, “Entwicklungschance oder Warteschleife?
Berufsorientierung und Berufswahl in der Berufsfachschule,” in Entwicklungen
und Perspektiven in der Berufsorientierung. Stand und Herausforderungen. Online:
(06.12.2021), U. Weyland, B. Ziegler, K. Driesel-Lange, and A. Kruse, Eds.
Bonn: Verlag Barbara Budrich, 2021, pp. 60–78.'
mla: 'Schemmer, Susanne Jutta, et al. “Entwicklungschance oder Warteschleife? Berufsorientierung
und Berufswahl in der Berufsfachschule.” Entwicklungen und Perspektiven in
der Berufsorientierung. Stand und Herausforderungen. Online: (06.12.2021),
edited by Ulrike Weyland et al., Verlag Barbara Budrich, 2021, pp. 60–78.'
short: 'S.J. Schemmer, D. Heisler, J. Rink, in: U. Weyland, B. Ziegler, K. Driesel-Lange,
A. Kruse (Eds.), Entwicklungen und Perspektiven in der Berufsorientierung. Stand
und Herausforderungen. Online: (06.12.2021), Verlag Barbara Budrich, Bonn, 2021,
pp. 60–78.'
date_created: 2023-05-29T16:48:44Z
date_updated: 2023-06-20T19:48:47Z
department:
- _id: '451'
editor:
- first_name: Ulrike
full_name: Weyland, Ulrike
last_name: Weyland
- first_name: Birgit
full_name: Ziegler, Birgit
last_name: Ziegler
- first_name: Katja
full_name: Driesel-Lange, Katja
last_name: Driesel-Lange
- first_name: Annika
full_name: Kruse, Annika
last_name: Kruse
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://www.agbfn.de/dokumente/pdf/AGBFN_Weyland_et_al_Berufsorientierung.pdf
oa: '1'
page: 60-78
place: Bonn
publication: 'Entwicklungen und Perspektiven in der Berufsorientierung. Stand und
Herausforderungen. Online: (06.12.2021)'
publication_status: published
publisher: Verlag Barbara Budrich
status: public
title: Entwicklungschance oder Warteschleife? Berufsorientierung und Berufswahl in
der Berufsfachschule
type: book_chapter
user_id: '49063'
year: '2021'
...
---
_id: '46194'
author:
- first_name: Tobias
full_name: Kenter, Tobias
id: '3145'
last_name: Kenter
- first_name: Adesh
full_name: Shambhu, Adesh
last_name: Shambhu
- first_name: Sara
full_name: Faghih-Naini, Sara
last_name: Faghih-Naini
- first_name: Vadym
full_name: Aizinger, Vadym
last_name: Aizinger
citation:
ama: 'Kenter T, Shambhu A, Faghih-Naini S, Aizinger V. Algorithm-hardware co-design
of a discontinuous Galerkin shallow-water model for a dataflow architecture on
FPGA. In: Proceedings of the Platform for Advanced Scientific Computing Conference.
ACM; 2021. doi:10.1145/3468267.3470617'
apa: Kenter, T., Shambhu, A., Faghih-Naini, S., & Aizinger, V. (2021). Algorithm-hardware
co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture
on FPGA. Proceedings of the Platform for Advanced Scientific Computing Conference.
https://doi.org/10.1145/3468267.3470617
bibtex: '@inproceedings{Kenter_Shambhu_Faghih-Naini_Aizinger_2021, title={Algorithm-hardware
co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture
on FPGA}, DOI={10.1145/3468267.3470617},
booktitle={Proceedings of the Platform for Advanced Scientific Computing Conference},
publisher={ACM}, author={Kenter, Tobias and Shambhu, Adesh and Faghih-Naini, Sara
and Aizinger, Vadym}, year={2021} }'
chicago: Kenter, Tobias, Adesh Shambhu, Sara Faghih-Naini, and Vadym Aizinger. “Algorithm-Hardware
Co-Design of a Discontinuous Galerkin Shallow-Water Model for a Dataflow Architecture
on FPGA.” In Proceedings of the Platform for Advanced Scientific Computing
Conference. ACM, 2021. https://doi.org/10.1145/3468267.3470617.
ieee: 'T. Kenter, A. Shambhu, S. Faghih-Naini, and V. Aizinger, “Algorithm-hardware
co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture
on FPGA,” 2021, doi: 10.1145/3468267.3470617.'
mla: Kenter, Tobias, et al. “Algorithm-Hardware Co-Design of a Discontinuous Galerkin
Shallow-Water Model for a Dataflow Architecture on FPGA.” Proceedings of the
Platform for Advanced Scientific Computing Conference, ACM, 2021, doi:10.1145/3468267.3470617.
short: 'T. Kenter, A. Shambhu, S. Faghih-Naini, V. Aizinger, in: Proceedings of
the Platform for Advanced Scientific Computing Conference, ACM, 2021.'
date_created: 2023-07-28T11:58:14Z
date_updated: 2023-07-28T12:03:19Z
department:
- _id: '27'
- _id: '518'
doi: 10.1145/3468267.3470617
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://dl.acm.org/doi/pdf/10.1145/3468267.3470617
oa: '1'
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: Proceedings of the Platform for Advanced Scientific Computing Conference
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: Algorithm-hardware co-design of a discontinuous Galerkin shallow-water model
for a dataflow architecture on FPGA
type: conference
user_id: '3145'
year: '2021'
...
---
_id: '46613'
abstract:
- lang: eng
text: Trotz massiver Förderungen für die Digitalisierung ist die Präsenzlehre noch
immer der Standard an deutschen Hochschulen. Aufgrund des Physical Distancing
im Zuge der Corona-Pandemie musste sie jedoch kurzfristig fast vollständig digitalisiert
werden. Die Beiträge des Bandes bieten einen multiperspektivischen Zugang zu den
damit verbundenen Herausforderungen und beleuchten, wie die verschiedenen Akteur*innen
die Umstellung auf digitale Lehr- und Lernformate umgesetzt und erlebt haben.
Durch die Zusammenführung der verschiedenen Sichtweisen können die Bedarfe und
Wünsche der einzelnen Akteursgruppen zusammengebracht und bei der nachhaltigen
Weiterentwicklung der Hochschullehre besser berücksichtigt werden.
alternative_title:
- Ein multiperspektivischer Zugang zur digitalen Lehre
citation:
ama: Neiske I, Osthushenrich J, Schaper N, Trier U, Vöing N, eds. Hochschule
auf Abstand. transcript Verlag; 2021. doi:10.14361/9783839456903
apa: Neiske, I., Osthushenrich, J., Schaper, N., Trier, U., & Vöing, N. (Eds.).
(2021). Hochschule auf Abstand. transcript Verlag. https://doi.org/10.14361/9783839456903
bibtex: '@book{Neiske_Osthushenrich_Schaper_Trier_Vöing_2021, place={Bielefeld,
Germany}, title={Hochschule auf Abstand}, DOI={10.14361/9783839456903},
publisher={transcript Verlag}, year={2021} }'
chicago: 'Neiske, Iris, Judith Osthushenrich, Niclas Schaper, Ulrike Trier, and
Nerea Vöing, eds. Hochschule auf Abstand. Bielefeld, Germany: transcript
Verlag, 2021. https://doi.org/10.14361/9783839456903.'
ieee: 'I. Neiske, J. Osthushenrich, N. Schaper, U. Trier, and N. Vöing, Eds., Hochschule
auf Abstand. Bielefeld, Germany: transcript Verlag, 2021.'
mla: Neiske, Iris, et al., editors. Hochschule auf Abstand. transcript Verlag,
2021, doi:10.14361/9783839456903.
short: I. Neiske, J. Osthushenrich, N. Schaper, U. Trier, N. Vöing, eds., Hochschule
auf Abstand, transcript Verlag, Bielefeld, Germany, 2021.
date_created: 2023-08-22T09:23:22Z
date_updated: 2023-09-01T08:11:37Z
department:
- _id: '544'
doi: 10.14361/9783839456903
editor:
- first_name: Iris
full_name: Neiske, Iris
id: '53827'
last_name: Neiske
- first_name: Judith
full_name: Osthushenrich, Judith
id: '12360'
last_name: Osthushenrich
- first_name: Niclas
full_name: Schaper, Niclas
last_name: Schaper
- first_name: Ulrike
full_name: Trier, Ulrike
id: '82117'
last_name: Trier
- first_name: Nerea
full_name: Vöing, Nerea
id: '5054'
last_name: Vöing
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://www.transcript-verlag.de/978-3-8376-5690-9/hochschule-auf-abstand/?number=978-3-8394-5690-3
oa: '1'
place: Bielefeld, Germany
publication_identifier:
isbn:
- '9783837656909'
- '9783839456903'
issn:
- 2749-7623
- 2749-7631
publication_status: published
publisher: transcript Verlag
status: public
title: Hochschule auf Abstand
type: book_editor
user_id: '12360'
year: '2021'
...
---
_id: '22724'
abstract:
- lang: eng
text: "\r\nPredictive Maintenance as a desirable maintenance strategy in industrial
applications relies on suitable condition monitoring solutions to reduce costs
and risks of the monitored technical systems. In general, those solutions utilize
model-based or data-driven methods to diagnose the current state or predict future
states of monitored technical systems. However, both methods have their advantages
and drawbacks. Combining both methods can improve uncertainty consideration and
accuracy. Different combination approaches of those hybrid methods exist to exploit
synergy effects. The choice of an appropriate approach depends on different requirements
and the goal behind the selection of a hybrid approach.\r\n\r\n \r\n\r\nIn this
work, the hybrid approach for estimating remaining useful lifetime takes potential
uncertainties into account. Therefore, a data-driven estimation of new measurements
is integrated within a model-based method. To consider uncertainties within the
system, a differentiation between different system behavior is realized throughout
diverse states of degradation.\r\n\r\nThe developed hybrid prediction approach
bases on a particle filtering method combined with a machine learning method,
to estimate the remaining useful lifetime of technical systems. Particle filtering
as a Monte Carlo simulation technique is suitable to map and propagate uncertainties.
Moreover, it is a state-of-the-art model-based method for predicting remaining
useful lifetime of technical systems. To integrate uncertainties a multi-model
particle filtering approach is employed. In general, resampling as a part of the
particle filtering approach has the potential to lead to an accurate prediction.
However, in the case where no future measurements are available, it may increase
the uncertainty of the prediction. By estimating new measurements, those uncertainties
are reduced within the data-driven part of the approach. Hence, both parts of
the hybrid approach strive to account for and reduce uncertainties.\r\n\r\n \r\n\r\nRubber-metal-elements
are employed as a use-case to evaluate the developed approach. Rubber-metal-elements,
which are used to isolate vibrations in various systems, such as railways, trucks
and wind turbines, show various uncertainties in their behavior and their degradation.
Those uncertainties are caused by diverse inner and outer factors, such as manufacturing
influences and operating conditions. By expert knowledge the influences are described,
analyzed and if possible reduced. However, the remaining uncertainties are considered
within the hybrid prediction method. Relative temperature is the selected measurand
to describe the element’s degradation. In lifetime tests, it is measured as the
difference between the element’s temperature and the ambient temperature. Thereby,
the influence of the ambient temperature on the element’s temperature is taken
into account. Those elements show three typical states of degradation that are
identified within the temperature measurements. Depending on the particular state
of degradation a new measurement is estimated within the hybrid approach to reduce
potential uncertainties.\r\n\r\nFinally, the performance of the developed hybrid
method is compared to a model-based method for estimating the remaining useful
lifetime of the same elements. Suitable performance indices are implemented to
underline the differences between the results."
author:
- first_name: Amelie
full_name: Bender, Amelie
id: '54290'
last_name: Bender
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Bender A, Sextro W. Hybrid Prediction Method for Remaining Useful Lifetime
Estimation Considering Uncertainties. In: Do P, King S, Fink Olga, eds. Proceedings
of the European Conference of the PHM Society 2021. Vol 6. ; 2021. doi:https://doi.org/10.36001/phme.2021.v6i1.2843
'
apa: Bender, A., & Sextro, W. (2021). Hybrid Prediction Method for Remaining
Useful Lifetime Estimation Considering Uncertainties. In P. Do, S. King, & Olga
Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021
(Vol. 6, Issue 1). https://doi.org/10.36001/phme.2021.v6i1.2843
bibtex: '@inproceedings{Bender_Sextro_2021, title={Hybrid Prediction Method for
Remaining Useful Lifetime Estimation Considering Uncertainties}, volume={6}, DOI={https://doi.org/10.36001/phme.2021.v6i1.2843
}, number={1}, booktitle={Proceedings of the European Conference of the PHM
Society 2021}, author={Bender, Amelie and Sextro, Walter}, editor={Do, Phuc and
King, Steve and Fink, Olga}, year={2021} }'
chicago: Bender, Amelie, and Walter Sextro. “Hybrid Prediction Method for Remaining
Useful Lifetime Estimation Considering Uncertainties.” In Proceedings of the
European Conference of the PHM Society 2021, edited by Phuc Do, Steve King,
and Olga Fink, Vol. 6, 2021. https://doi.org/10.36001/phme.2021.v6i1.2843 .
ieee: 'A. Bender and W. Sextro, “Hybrid Prediction Method for Remaining Useful Lifetime
Estimation Considering Uncertainties,” in Proceedings of the European Conference
of the PHM Society 2021, 2021, vol. 6, no. 1, doi: https://doi.org/10.36001/phme.2021.v6i1.2843 .'
mla: Bender, Amelie, and Walter Sextro. “Hybrid Prediction Method for Remaining
Useful Lifetime Estimation Considering Uncertainties.” Proceedings of the European
Conference of the PHM Society 2021, edited by Phuc Do et al., vol. 6, no.
1, 2021, doi:https://doi.org/10.36001/phme.2021.v6i1.2843
.
short: 'A. Bender, W. Sextro, in: P. Do, S. King, Olga Fink (Eds.), Proceedings
of the European Conference of the PHM Society 2021, 2021.'
conference:
end_date: 2021-07-02
name: 6th European Conference of Prognostics and Health Management
start_date: 2021-06-28
date_created: 2021-07-14T06:29:08Z
date_updated: 2023-09-22T07:19:48Z
department:
- _id: '151'
doi: 'https://doi.org/10.36001/phme.2021.v6i1.2843 '
editor:
- first_name: 'Phuc '
full_name: 'Do, Phuc '
last_name: Do
- first_name: Steve
full_name: King, Steve
last_name: King
- first_name: ' Olga'
full_name: Fink, Olga
last_name: Fink
intvolume: ' 6'
issue: '1'
keyword:
- Hybrid prediction method
- Multi-model particle filtering
- Uncertainty quantification
- RUL estimation
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://papers.phmsociety.org/index.php/phme/article/view/2843
oa: '1'
publication: Proceedings of the European Conference of the PHM Society 2021
publication_identifier:
unknown:
- 978-1-936263-34-9
publication_status: published
quality_controlled: '1'
status: public
title: Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering
Uncertainties
type: conference
user_id: '54290'
volume: 6
year: '2021'
...
---
_id: '22507'
abstract:
- lang: eng
text: Several methods, including order analysis, wavelet analysis and empirical
mode decomposition have been proposed and successfully employed for the health
state estimation of technical systems operating under varying conditions. However,
where information such as the speed of rotating machinery, component specifications
or other domain-specific information is unavailable, such methods are often infeasible.
Thus, this paper investigates the application of classical time-domain features,
features from the medical field and novel features from the highly comparative
time-series analysis (HCTSA) package, for the health state estimation of rotating
machinery operating under varying conditions. Furthermore, several feature selection
methods are investigated to identify features as viable health indicators for
the diagnostics and prognostics of technical systems. As a case study, the presented
methods are evaluated on real-world and experimentally acquired vibration data
of bearings operating under varying speed. The results show that the selected
features can successfully be employed as health indicators for technical systems
operating under varying conditions.
author:
- first_name: Osarenren Kennedy
full_name: Aimiyekagbon, Osarenren Kennedy
id: '9557'
last_name: Aimiyekagbon
- first_name: Amelie
full_name: Bender, Amelie
id: '54290'
last_name: Bender
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Aimiyekagbon OK, Bender A, Sextro W. On the applicability of time series features
as health indicators for technical systems operating under varying conditions.
In: Proceedings of the Seventeenth International Conference on Condition Monitoring
and Asset Management (CM 2021).'
apa: Aimiyekagbon, O. K., Bender, A., & Sextro, W. (n.d.). On the applicability
of time series features as health indicators for technical systems operating under
varying conditions. Proceedings of the Seventeenth International Conference
on Condition Monitoring and Asset Management (CM 2021). Seventeenth International
Conference on Condition Monitoring and Asset Management (CM 2021).
bibtex: '@inproceedings{Aimiyekagbon_Bender_Sextro, title={On the applicability
of time series features as health indicators for technical systems operating under
varying conditions}, booktitle={Proceedings of the Seventeenth International Conference
on Condition Monitoring and Asset Management (CM 2021)}, author={Aimiyekagbon,
Osarenren Kennedy and Bender, Amelie and Sextro, Walter} }'
chicago: Aimiyekagbon, Osarenren Kennedy, Amelie Bender, and Walter Sextro. “On
the Applicability of Time Series Features as Health Indicators for Technical Systems
Operating under Varying Conditions.” In Proceedings of the Seventeenth International
Conference on Condition Monitoring and Asset Management (CM 2021), n.d.
ieee: O. K. Aimiyekagbon, A. Bender, and W. Sextro, “On the applicability of time
series features as health indicators for technical systems operating under varying
conditions,” presented at the Seventeenth International Conference on Condition
Monitoring and Asset Management (CM 2021).
mla: Aimiyekagbon, Osarenren Kennedy, et al. “On the Applicability of Time Series
Features as Health Indicators for Technical Systems Operating under Varying Conditions.”
Proceedings of the Seventeenth International Conference on Condition Monitoring
and Asset Management (CM 2021).
short: 'O.K. Aimiyekagbon, A. Bender, W. Sextro, in: Proceedings of the Seventeenth
International Conference on Condition Monitoring and Asset Management (CM 2021),
n.d.'
conference:
end_date: 2021-06-18
name: Seventeenth International Conference on Condition Monitoring and Asset Management
(CM 2021)
start_date: 2021-06-14
date_created: 2021-06-23T05:24:39Z
date_updated: 2023-09-22T08:10:34Z
ddc:
- '620'
department:
- _id: '151'
file:
- access_level: open_access
content_type: application/pdf
creator: kennedy
date_created: 2021-06-23T06:43:44Z
date_updated: 2021-06-23T06:50:07Z
description: 'This is a post-print version of the article presented at the Seventeenth
International Con-ference on Condition Monitoring and Asset Management (CM 2021).
The event websiteis available at: https://www.bindt.org/events/CM-2021/ and the
abstract is available at:https://www.bindt.org/events/CM-2021/abstract-9a7/.'
file_id: '22508'
file_name: Aimiyekagbon_et_al_2021_On_the_applicability_of_time_series_features_as_health_indicators_postPrint.pdf
file_size: 1875572
relation: main_file
title: On the applicability of time series features as health indicators for technical
systems operating under varying conditions
file_date_updated: 2021-06-23T06:50:07Z
has_accepted_license: '1'
keyword:
- Wind turbine diagnostics
- bearing diagnostics
- non-stationary operating conditions
- varying operating conditions
- feature extraction
- feature selection
- fault detection
- failure detection
language:
- iso: eng
oa: '1'
publication: Proceedings of the Seventeenth International Conference on Condition
Monitoring and Asset Management (CM 2021)
publication_status: inpress
quality_controlled: '1'
status: public
title: On the applicability of time series features as health indicators for technical
systems operating under varying conditions
type: conference
user_id: '9557'
year: '2021'
...
---
_id: '27111'
abstract:
- lang: eng
text: In the industry 4.0 era, there is a growing need to transform unstructured
data acquired by a multitude of sources into information and subsequently into
knowledge to improve the quality of manufactured products, to boost production,
for predictive maintenance, etc. Data-driven approaches, such as machine learning
techniques, are typically employed to model the underlying relationship from data.
However, an increase in model accuracy with state-of-the-art methods, such as
deep convolutional neural networks, results in less interpretability and transparency.
Due to the ease of implementation, interpretation and transparency to both domain
experts and non-experts, a rule-based method is proposed in this paper, for prognostics
and health management (PHM) and specifically for diagnostics. The proposed method
utilizes the most relevant sensor signals acquired via feature extraction and
selection techniques and expert knowledge. As a case study, the presented method
is evaluated on data from a real-world quality control set-up provided by the
European prognostics and health management society (PHME) at the conference’s
2021 data challenge. With the proposed method, our team took the third place,
capable of successfully diagnosing different fault modes, irrespective of varying
conditions.
author:
- first_name: Osarenren Kennedy
full_name: Aimiyekagbon, Osarenren Kennedy
id: '9557'
last_name: Aimiyekagbon
- first_name: Lars
full_name: Muth, Lars
id: '77313'
last_name: Muth
orcid: 0000-0002-2938-5616
- first_name: Meike Claudia
full_name: Wohlleben, Meike Claudia
id: '43991'
last_name: Wohlleben
orcid: 0009-0009-9767-7168
- first_name: Amelie
full_name: Bender, Amelie
id: '54290'
last_name: Bender
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Aimiyekagbon OK, Muth L, Wohlleben MC, Bender A, Sextro W. Rule-based Diagnostics
of a Production Line. In: Do P, King S, Fink O, eds. Proceedings of the European
Conference of the PHM Society 2021. Vol 6. ; 2021:527-536. doi:10.36001/phme.2021.v6i1.3042'
apa: Aimiyekagbon, O. K., Muth, L., Wohlleben, M. C., Bender, A., & Sextro,
W. (2021). Rule-based Diagnostics of a Production Line. In P. Do, S. King, &
O. Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021
(Vol. 6, Issue 1, pp. 527–536). https://doi.org/10.36001/phme.2021.v6i1.3042
bibtex: '@inproceedings{Aimiyekagbon_Muth_Wohlleben_Bender_Sextro_2021, title={Rule-based
Diagnostics of a Production Line}, volume={6}, DOI={10.36001/phme.2021.v6i1.3042},
number={1}, booktitle={Proceedings of the European Conference of the PHM Society
2021}, author={Aimiyekagbon, Osarenren Kennedy and Muth, Lars and Wohlleben, Meike
Claudia and Bender, Amelie and Sextro, Walter}, editor={Do, Phuc and King, Steve
and Fink, Olga}, year={2021}, pages={527–536} }'
chicago: Aimiyekagbon, Osarenren Kennedy, Lars Muth, Meike Claudia Wohlleben, Amelie
Bender, and Walter Sextro. “Rule-Based Diagnostics of a Production Line.” In Proceedings
of the European Conference of the PHM Society 2021, edited by Phuc Do, Steve
King, and Olga Fink, 6:527–36, 2021. https://doi.org/10.36001/phme.2021.v6i1.3042.
ieee: 'O. K. Aimiyekagbon, L. Muth, M. C. Wohlleben, A. Bender, and W. Sextro, “Rule-based
Diagnostics of a Production Line,” in Proceedings of the European Conference
of the PHM Society 2021, 2021, vol. 6, no. 1, pp. 527–536, doi: 10.36001/phme.2021.v6i1.3042.'
mla: Aimiyekagbon, Osarenren Kennedy, et al. “Rule-Based Diagnostics of a Production
Line.” Proceedings of the European Conference of the PHM Society 2021,
edited by Phuc Do et al., vol. 6, no. 1, 2021, pp. 527–36, doi:10.36001/phme.2021.v6i1.3042.
short: 'O.K. Aimiyekagbon, L. Muth, M.C. Wohlleben, A. Bender, W. Sextro, in: P.
Do, S. King, O. Fink (Eds.), Proceedings of the European Conference of the PHM
Society 2021, 2021, pp. 527–536.'
conference:
name: PHM Society European Conference
date_created: 2021-11-03T12:26:39Z
date_updated: 2023-09-22T09:13:01Z
department:
- _id: '151'
doi: 10.36001/phme.2021.v6i1.3042
editor:
- first_name: Phuc
full_name: Do, Phuc
last_name: Do
- first_name: Steve
full_name: King, Steve
last_name: King
- first_name: Olga
full_name: Fink, Olga
last_name: Fink
intvolume: ' 6'
issue: '1'
keyword:
- PHME 2021
- Feature Selection Classification
- Feature Selection Clustering
- Interpretable Model
- Transparent Model
- Industry 4.0
- Real-World Diagnostics
- Quality Control
- Predictive Maintenance
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://papers.phmsociety.org/index.php/phme/article/download/3042/1812
oa: '1'
page: 527-536
publication: Proceedings of the European Conference of the PHM Society 2021
publication_status: published
quality_controlled: '1'
status: public
title: Rule-based Diagnostics of a Production Line
type: conference
user_id: '9557'
volume: 6
year: '2021'
...
---
_id: '24788'
author:
- first_name: Samer
full_name: Alhaddad, Samer
id: '42456'
last_name: Alhaddad
- first_name: Jens
full_name: Förstner, Jens
id: '158'
last_name: Förstner
orcid: 0000-0001-7059-9862
- first_name: Stefan
full_name: Groth, Stefan
last_name: Groth
- first_name: Daniel
full_name: Grünewald, Daniel
last_name: Grünewald
- first_name: Yevgen
full_name: Grynko, Yevgen
id: '26059'
last_name: Grynko
- first_name: Frank
full_name: Hannig, Frank
last_name: Hannig
- first_name: Tobias
full_name: Kenter, Tobias
id: '3145'
last_name: Kenter
- first_name: Franz‐Josef
full_name: Pfreundt, Franz‐Josef
last_name: Pfreundt
- first_name: Christian
full_name: Plessl, Christian
id: '16153'
last_name: Plessl
orcid: 0000-0001-5728-9982
- first_name: Merlind
full_name: Schotte, Merlind
last_name: Schotte
- first_name: Thomas
full_name: Steinke, Thomas
last_name: Steinke
- first_name: Jürgen
full_name: Teich, Jürgen
last_name: Teich
- first_name: Martin
full_name: Weiser, Martin
last_name: Weiser
- first_name: Florian
full_name: Wende, Florian
last_name: Wende
citation:
ama: 'Alhaddad S, Förstner J, Groth S, et al. The HighPerMeshes framework for numerical
algorithms on unstructured grids. Concurrency and Computation: Practice and
Experience. Published online 2021:e6616. doi:10.1002/cpe.6616'
apa: 'Alhaddad, S., Förstner, J., Groth, S., Grünewald, D., Grynko, Y., Hannig,
F., Kenter, T., Pfreundt, F., Plessl, C., Schotte, M., Steinke, T., Teich, J.,
Weiser, M., & Wende, F. (2021). The HighPerMeshes framework for numerical
algorithms on unstructured grids. Concurrency and Computation: Practice and
Experience, e6616. https://doi.org/10.1002/cpe.6616'
bibtex: '@article{Alhaddad_Förstner_Groth_Grünewald_Grynko_Hannig_Kenter_Pfreundt_Plessl_Schotte_et
al._2021, title={The HighPerMeshes framework for numerical algorithms on unstructured
grids}, DOI={10.1002/cpe.6616},
journal={Concurrency and Computation: Practice and Experience}, author={Alhaddad,
Samer and Förstner, Jens and Groth, Stefan and Grünewald, Daniel and Grynko, Yevgen
and Hannig, Frank and Kenter, Tobias and Pfreundt, Franz‐Josef and Plessl, Christian
and Schotte, Merlind and et al.}, year={2021}, pages={e6616} }'
chicago: 'Alhaddad, Samer, Jens Förstner, Stefan Groth, Daniel Grünewald, Yevgen
Grynko, Frank Hannig, Tobias Kenter, et al. “The HighPerMeshes Framework for Numerical
Algorithms on Unstructured Grids.” Concurrency and Computation: Practice and
Experience, 2021, e6616. https://doi.org/10.1002/cpe.6616.'
ieee: 'S. Alhaddad et al., “The HighPerMeshes framework for numerical algorithms
on unstructured grids,” Concurrency and Computation: Practice and Experience,
p. e6616, 2021, doi: 10.1002/cpe.6616.'
mla: 'Alhaddad, Samer, et al. “The HighPerMeshes Framework for Numerical Algorithms
on Unstructured Grids.” Concurrency and Computation: Practice and Experience,
2021, p. e6616, doi:10.1002/cpe.6616.'
short: 'S. Alhaddad, J. Förstner, S. Groth, D. Grünewald, Y. Grynko, F. Hannig,
T. Kenter, F. Pfreundt, C. Plessl, M. Schotte, T. Steinke, J. Teich, M. Weiser,
F. Wende, Concurrency and Computation: Practice and Experience (2021) e6616.'
date_created: 2021-09-22T06:15:50Z
date_updated: 2023-09-26T11:42:19Z
ddc:
- '004'
department:
- _id: '61'
- _id: '230'
- _id: '27'
- _id: '518'
doi: 10.1002/cpe.6616
file:
- access_level: open_access
content_type: application/pdf
creator: fossie
date_created: 2021-09-22T06:19:29Z
date_updated: 2021-09-22T06:19:29Z
file_id: '24789'
file_name: 2021-09 Alhaddad - Concurrency... - The HighPerMeshes framework for numerical
algorithms on unstructured grids.pdf
file_size: 2300152
relation: main_file
file_date_updated: 2021-09-22T06:19:29Z
has_accepted_license: '1'
keyword:
- tet_topic_hpc
language:
- iso: eng
oa: '1'
page: e6616
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
- _id: '33'
grant_number: 01|H16005A
name: HighPerMeshes
publication: 'Concurrency and Computation: Practice and Experience'
publication_identifier:
issn:
- 1532-0626
- 1532-0634
publication_status: published
quality_controlled: '1'
status: public
title: The HighPerMeshes framework for numerical algorithms on unstructured grids
type: journal_article
user_id: '15278'
year: '2021'
...
---
_id: '30961'
author:
- first_name: Christina
full_name: Lammer, Christina
id: '84580'
last_name: Lammer
citation:
ama: 'Lammer C. Andrea Karimé: Sterne im Kopf und ein unglaublicher Plan. Köln:
Peter Hammer Verlag 2021. www.kibum.de (Thomas Boyken und Jörn Brüggemann),;
2021.'
apa: 'Lammer, C. (2021). Andrea Karimé: Sterne im Kopf und ein unglaublicher
Plan. Köln: Peter Hammer Verlag 2021. www.kibum.de (Thomas Boyken und Jörn
Brüggemann),.'
bibtex: '@book{Lammer_2021, place={Oldenburg}, series={KIBUM “Wissenschaft in zehn
Minuten”}, title={Andrea Karimé: Sterne im Kopf und ein unglaublicher Plan. Köln:
Peter Hammer Verlag 2021}, publisher={www.kibum.de (Thomas Boyken und Jörn Brüggemann),},
author={Lammer, Christina}, year={2021}, collection={KIBUM “Wissenschaft in zehn
Minuten”} }'
chicago: 'Lammer, Christina. Andrea Karimé: Sterne im Kopf und ein unglaublicher
Plan. Köln: Peter Hammer Verlag 2021. KIBUM “Wissenschaft in zehn Minuten.”
Oldenburg: www.kibum.de (Thomas Boyken und Jörn Brüggemann), 2021.'
ieee: 'C. Lammer, Andrea Karimé: Sterne im Kopf und ein unglaublicher Plan. Köln:
Peter Hammer Verlag 2021. Oldenburg: www.kibum.de (Thomas Boyken und Jörn
Brüggemann), 2021.'
mla: 'Lammer, Christina. Andrea Karimé: Sterne im Kopf und ein unglaublicher
Plan. Köln: Peter Hammer Verlag 2021. www.kibum.de (Thomas Boyken und Jörn
Brüggemann), 2021.'
short: 'C. Lammer, Andrea Karimé: Sterne im Kopf und ein unglaublicher Plan. Köln:
Peter Hammer Verlag 2021, www.kibum.de (Thomas Boyken und Jörn Brüggemann), Oldenburg,
2021.'
date_created: 2022-04-27T08:26:44Z
date_updated: 2023-10-02T08:15:47Z
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://www.kibum.de/documents/vidcasts/2021/transcriptions/02Christina_Lammer-Karime_Keun.pdf
oa: '1'
place: Oldenburg
publisher: www.kibum.de (Thomas Boyken und Jörn Brüggemann),
series_title: KIBUM "Wissenschaft in zehn Minuten"
status: public
title: 'Andrea Karimé: Sterne im Kopf und ein unglaublicher Plan. Köln: Peter Hammer
Verlag 2021'
type: misc
user_id: '84580'
year: '2021'
...
---
_id: '25227'
abstract:
- lang: eng
text: AbstractQuantum well (QW) heterostructures
have been extensively used for the realization of a wide range of optical and
electronic devices. Exploiting their potential for further improvement and development
requires a fundamental understanding of their electronic structure. So far, the
most commonly used experimental techniques for this purpose have been all-optical
spectroscopy methods that, however, are generally averaging in momentum space.
Additional information can be gained by angle-resolved photoelectron spectroscopy
(ARPES), which measures the electronic structure with momentum resolution. Here
we report on the use of extremely low-energy ARPES (photon energy ~ 7 eV) to increase
depth sensitivity and access buried QW states, located at 3 nm and 6 nm below
the surface of cubic-GaN/AlN and GaAs/AlGaAs heterostructures, respectively. We
find that the QW states in cubic-GaN/AlN can indeed be observed, but not their
energy dispersion, because of the high surface roughness. The GaAs/AlGaAs QW states,
on the other hand, are buried too deep to be detected by extremely low-energy
ARPES. Since the sample surface is much flatter, the ARPES spectra of the GaAs/AlGaAs
show distinct features in momentum space, which can be reconducted to the band
structure of the topmost surface layer of the QW structure. Our results provide
important information about the samples’ properties required to perform extremely
low-energy ARPES experiments on electronic states buried in semiconductor heterostructures.
article_number: '19081'
article_type: original
author:
- first_name: Mahdi
full_name: Hajlaoui, Mahdi
last_name: Hajlaoui
- first_name: Stefano
full_name: Ponzoni, Stefano
last_name: Ponzoni
- first_name: Michael
full_name: Deppe, Michael
last_name: Deppe
- first_name: Tobias
full_name: Henksmeier, Tobias
last_name: Henksmeier
- first_name: Donat Josef
full_name: As, Donat Josef
id: '14'
last_name: As
orcid: 0000-0003-1121-3565
- first_name: Dirk
full_name: Reuter, Dirk
id: '37763'
last_name: Reuter
- first_name: Thomas
full_name: Zentgraf, Thomas
id: '30525'
last_name: Zentgraf
orcid: 0000-0002-8662-1101
- first_name: Gunther
full_name: Springholz, Gunther
last_name: Springholz
- first_name: Claus Michael
full_name: Schneider, Claus Michael
last_name: Schneider
- first_name: Stefan
full_name: Cramm, Stefan
last_name: Cramm
- first_name: Mirko
full_name: Cinchetti, Mirko
last_name: Cinchetti
citation:
ama: Hajlaoui M, Ponzoni S, Deppe M, et al. Extremely low-energy ARPES of quantum
well states in cubic-GaN/AlN and GaAs/AlGaAs heterostructures. Scientific Reports.
2021;11. doi:10.1038/s41598-021-98569-6
apa: Hajlaoui, M., Ponzoni, S., Deppe, M., Henksmeier, T., As, D. J., Reuter, D.,
Zentgraf, T., Springholz, G., Schneider, C. M., Cramm, S., & Cinchetti, M.
(2021). Extremely low-energy ARPES of quantum well states in cubic-GaN/AlN and
GaAs/AlGaAs heterostructures. Scientific Reports, 11, Article 19081.
https://doi.org/10.1038/s41598-021-98569-6
bibtex: '@article{Hajlaoui_Ponzoni_Deppe_Henksmeier_As_Reuter_Zentgraf_Springholz_Schneider_Cramm_et
al._2021, title={Extremely low-energy ARPES of quantum well states in cubic-GaN/AlN
and GaAs/AlGaAs heterostructures}, volume={11}, DOI={10.1038/s41598-021-98569-6},
number={19081}, journal={Scientific Reports}, author={Hajlaoui, Mahdi and Ponzoni,
Stefano and Deppe, Michael and Henksmeier, Tobias and As, Donat Josef and Reuter,
Dirk and Zentgraf, Thomas and Springholz, Gunther and Schneider, Claus Michael
and Cramm, Stefan and et al.}, year={2021} }'
chicago: Hajlaoui, Mahdi, Stefano Ponzoni, Michael Deppe, Tobias Henksmeier, Donat
Josef As, Dirk Reuter, Thomas Zentgraf, et al. “Extremely Low-Energy ARPES of
Quantum Well States in Cubic-GaN/AlN and GaAs/AlGaAs Heterostructures.” Scientific
Reports 11 (2021). https://doi.org/10.1038/s41598-021-98569-6.
ieee: 'M. Hajlaoui et al., “Extremely low-energy ARPES of quantum well states
in cubic-GaN/AlN and GaAs/AlGaAs heterostructures,” Scientific Reports,
vol. 11, Art. no. 19081, 2021, doi: 10.1038/s41598-021-98569-6.'
mla: Hajlaoui, Mahdi, et al. “Extremely Low-Energy ARPES of Quantum Well States
in Cubic-GaN/AlN and GaAs/AlGaAs Heterostructures.” Scientific Reports,
vol. 11, 19081, 2021, doi:10.1038/s41598-021-98569-6.
short: M. Hajlaoui, S. Ponzoni, M. Deppe, T. Henksmeier, D.J. As, D. Reuter, T.
Zentgraf, G. Springholz, C.M. Schneider, S. Cramm, M. Cinchetti, Scientific Reports
11 (2021).
date_created: 2021-10-01T07:29:15Z
date_updated: 2023-10-09T09:15:12Z
department:
- _id: '15'
- _id: '230'
- _id: '289'
doi: 10.1038/s41598-021-98569-6
intvolume: ' 11'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.nature.com/articles/s41598-021-98569-6
oa: '1'
project:
- _id: '53'
grant_number: '231447078'
name: TRR 142
- _id: '54'
name: TRR 142 - Project Area A
- _id: '65'
grant_number: '231447078'
name: TRR 142 - Subproject A8
- _id: '55'
name: TRR 142 - Project Area B
- _id: '67'
name: TRR 142 - Subproject B2
- _id: '63'
grant_number: '231447078'
name: TRR 142 - Subproject A6
publication: Scientific Reports
publication_identifier:
issn:
- 2045-2322
publication_status: published
quality_controlled: '1'
status: public
title: Extremely low-energy ARPES of quantum well states in cubic-GaN/AlN and GaAs/AlGaAs
heterostructures
type: journal_article
user_id: '14931'
volume: 11
year: '2021'
...
---
_id: '44843'
abstract:
- lang: eng
text: "Unsupervised blind source separation methods do not require a training phase\r\nand
thus cannot suffer from a train-test mismatch, which is a common concern in\r\nneural
network based source separation. The unsupervised techniques can be\r\ncategorized
in two classes, those building upon the sparsity of speech in the\r\nShort-Time
Fourier transform domain and those exploiting non-Gaussianity or\r\nnon-stationarity
of the source signals. In this contribution, spatial mixture\r\nmodels which fall
in the first category and independent vector analysis (IVA)\r\nas a representative
of the second category are compared w.r.t. their separation\r\nperformance and
the performance of a downstream speech recognizer on a\r\nreverberant dataset
of reasonable size. Furthermore, we introduce a serial\r\nconcatenation of the
two, where the result of the mixture model serves as\r\ninitialization of IVA,
which achieves significantly better WER performance than\r\neach algorithm individually
and even approaches the performance of a much more\r\ncomplex neural network based
technique."
author:
- first_name: Christoph
full_name: Boeddeker, Christoph
id: '40767'
last_name: Boeddeker
- first_name: Frederik
full_name: Rautenberg, Frederik
id: '72602'
last_name: Rautenberg
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Boeddeker C, Rautenberg F, Haeb-Umbach R. A Comparison and Combination of
Unsupervised Blind Source Separation Techniques. In: ITG Conference on Speech
Communication. ; 2021.'
apa: Boeddeker, C., Rautenberg, F., & Haeb-Umbach, R. (2021). A Comparison and
Combination of Unsupervised Blind Source Separation Techniques. ITG Conference
on Speech Communication. ITG Conference on Speech Communication, Kiel.
bibtex: '@inproceedings{Boeddeker_Rautenberg_Haeb-Umbach_2021, title={A Comparison
and Combination of Unsupervised Blind Source Separation Techniques}, booktitle={ITG
Conference on Speech Communication}, author={Boeddeker, Christoph and Rautenberg,
Frederik and Haeb-Umbach, Reinhold}, year={2021} }'
chicago: Boeddeker, Christoph, Frederik Rautenberg, and Reinhold Haeb-Umbach. “A
Comparison and Combination of Unsupervised Blind Source Separation Techniques.”
In ITG Conference on Speech Communication, 2021.
ieee: C. Boeddeker, F. Rautenberg, and R. Haeb-Umbach, “A Comparison and Combination
of Unsupervised Blind Source Separation Techniques,” presented at the ITG Conference
on Speech Communication, Kiel, 2021.
mla: Boeddeker, Christoph, et al. “A Comparison and Combination of Unsupervised
Blind Source Separation Techniques.” ITG Conference on Speech Communication,
2021.
short: 'C. Boeddeker, F. Rautenberg, R. Haeb-Umbach, in: ITG Conference on Speech
Communication, 2021.'
conference:
location: Kiel
name: ITG Conference on Speech Communication
date_created: 2023-05-15T07:59:33Z
date_updated: 2023-11-15T15:29:32Z
ddc:
- '000'
department:
- _id: '54'
external_id:
arxiv:
- '2106.05627'
file:
- access_level: open_access
content_type: application/pdf
creator: frra
date_created: 2023-05-16T08:37:31Z
date_updated: 2023-11-15T15:29:32Z
file_id: '44856'
file_name: 2106.05627.pdf
file_size: 295972
relation: main_file
file_date_updated: 2023-11-15T15:29:32Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/pdf/2106.05627.pdf
oa: '1'
publication: ITG Conference on Speech Communication
status: public
title: A Comparison and Combination of Unsupervised Blind Source Separation Techniques
type: conference
user_id: '40767'
year: '2021'
...
---
_id: '28259'
author:
- first_name: Christoph
full_name: Boeddeker, Christoph
id: '40767'
last_name: Boeddeker
- first_name: Wangyou
full_name: Zhang, Wangyou
last_name: Zhang
- first_name: Tomohiro
full_name: Nakatani, Tomohiro
last_name: Nakatani
- first_name: Keisuke
full_name: Kinoshita, Keisuke
last_name: Kinoshita
- first_name: Tsubasa
full_name: Ochiai, Tsubasa
last_name: Ochiai
- first_name: Marc
full_name: Delcroix, Marc
last_name: Delcroix
- first_name: Naoyuki
full_name: Kamo, Naoyuki
last_name: Kamo
- first_name: Yanmin
full_name: Qian, Yanmin
last_name: Qian
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Boeddeker C, Zhang W, Nakatani T, et al. Convolutive Transfer Function Invariant
SDR Training Criteria for Multi-Channel Reverberant Speech Separation. In: ICASSP
2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP). ; 2021. doi:10.1109/icassp39728.2021.9414661'
apa: Boeddeker, C., Zhang, W., Nakatani, T., Kinoshita, K., Ochiai, T., Delcroix,
M., Kamo, N., Qian, Y., & Haeb-Umbach, R. (2021). Convolutive Transfer Function
Invariant SDR Training Criteria for Multi-Channel Reverberant Speech Separation.
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal
Processing (ICASSP). https://doi.org/10.1109/icassp39728.2021.9414661
bibtex: '@inproceedings{Boeddeker_Zhang_Nakatani_Kinoshita_Ochiai_Delcroix_Kamo_Qian_Haeb-Umbach_2021,
title={Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel
Reverberant Speech Separation}, DOI={10.1109/icassp39728.2021.9414661},
booktitle={ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)}, author={Boeddeker, Christoph and Zhang, Wangyou
and Nakatani, Tomohiro and Kinoshita, Keisuke and Ochiai, Tsubasa and Delcroix,
Marc and Kamo, Naoyuki and Qian, Yanmin and Haeb-Umbach, Reinhold}, year={2021}
}'
chicago: Boeddeker, Christoph, Wangyou Zhang, Tomohiro Nakatani, Keisuke Kinoshita,
Tsubasa Ochiai, Marc Delcroix, Naoyuki Kamo, Yanmin Qian, and Reinhold Haeb-Umbach.
“Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel
Reverberant Speech Separation.” In ICASSP 2021 - 2021 IEEE International Conference
on Acoustics, Speech and Signal Processing (ICASSP), 2021. https://doi.org/10.1109/icassp39728.2021.9414661.
ieee: 'C. Boeddeker et al., “Convolutive Transfer Function Invariant SDR
Training Criteria for Multi-Channel Reverberant Speech Separation,” 2021, doi:
10.1109/icassp39728.2021.9414661.'
mla: Boeddeker, Christoph, et al. “Convolutive Transfer Function Invariant SDR Training
Criteria for Multi-Channel Reverberant Speech Separation.” ICASSP 2021 - 2021
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
2021, doi:10.1109/icassp39728.2021.9414661.
short: 'C. Boeddeker, W. Zhang, T. Nakatani, K. Kinoshita, T. Ochiai, M. Delcroix,
N. Kamo, Y. Qian, R. Haeb-Umbach, in: ICASSP 2021 - 2021 IEEE International Conference
on Acoustics, Speech and Signal Processing (ICASSP), 2021.'
date_created: 2021-12-03T12:00:16Z
date_updated: 2023-11-15T15:18:09Z
ddc:
- '000'
department:
- _id: '54'
doi: 10.1109/icassp39728.2021.9414661
file:
- access_level: open_access
content_type: application/pdf
creator: cbj
date_created: 2021-12-03T12:01:20Z
date_updated: 2023-11-15T15:18:08Z
file_id: '28260'
file_name: ICASSP2021_BSSEval.pdf
file_size: 228717
relation: main_file
file_date_updated: 2023-11-15T15:18:08Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)
publication_status: published
status: public
title: Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel
Reverberant Speech Separation
type: conference
user_id: '40767'
year: '2021'
...
---
_id: '23998'
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Jens
full_name: Heitkaemper, Jens
id: '27643'
last_name: Heitkaemper
- first_name: Joerg
full_name: Ullmann, Joerg
id: '16256'
last_name: Ullmann
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Schmalenstroeer J, Heitkaemper J, Ullmann J, Haeb-Umbach R. Open Range Pitch
Tracking for Carrier Frequency Difference Estimation from HF Transmitted Speech.
In: 29th European Signal Processing Conference (EUSIPCO). ; 2021:1-5.'
apa: Schmalenstroeer, J., Heitkaemper, J., Ullmann, J., & Haeb-Umbach, R. (2021).
Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF
Transmitted Speech. 29th European Signal Processing Conference (EUSIPCO),
1–5.
bibtex: '@inproceedings{Schmalenstroeer_Heitkaemper_Ullmann_Haeb-Umbach_2021, title={Open
Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted
Speech}, booktitle={29th European Signal Processing Conference (EUSIPCO)}, author={Schmalenstroeer,
Joerg and Heitkaemper, Jens and Ullmann, Joerg and Haeb-Umbach, Reinhold}, year={2021},
pages={1–5} }'
chicago: Schmalenstroeer, Joerg, Jens Heitkaemper, Joerg Ullmann, and Reinhold Haeb-Umbach.
“Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF
Transmitted Speech.” In 29th European Signal Processing Conference (EUSIPCO),
1–5, 2021.
ieee: J. Schmalenstroeer, J. Heitkaemper, J. Ullmann, and R. Haeb-Umbach, “Open
Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted
Speech,” in 29th European Signal Processing Conference (EUSIPCO), 2021,
pp. 1–5.
mla: Schmalenstroeer, Joerg, et al. “Open Range Pitch Tracking for Carrier Frequency
Difference Estimation from HF Transmitted Speech.” 29th European Signal Processing
Conference (EUSIPCO), 2021, pp. 1–5.
short: 'J. Schmalenstroeer, J. Heitkaemper, J. Ullmann, R. Haeb-Umbach, in: 29th
European Signal Processing Conference (EUSIPCO), 2021, pp. 1–5.'
date_created: 2021-09-09T08:40:04Z
date_updated: 2023-11-15T14:56:38Z
department:
- _id: '54'
extern: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2103.01599
oa: '1'
page: 1-5
publication: 29th European Signal Processing Conference (EUSIPCO)
status: public
title: Open Range Pitch Tracking for Carrier Frequency Difference Estimation from
HF Transmitted Speech
type: conference
user_id: '460'
year: '2021'
...
---
_id: '48787'
author:
- first_name: Olaf
full_name: Hartung, Olaf
id: '79451'
last_name: Hartung
citation:
ama: 'Hartung O. Rezension von: Jörg van Norden, Thomas Must, Lars Deile, Peter
Riedel, Susan Krause und Wanda Schürenberg (Hgg.): Geschichtsdidaktische Grundbegriffe.
Ein Bilderbuch für Studium, Lehre und Beruf. Hannover 2020. H-Soz-Kult.
Published online 2021.'
apa: 'Hartung, O. (2021). Rezension von: Jörg van Norden, Thomas Must, Lars Deile,
Peter Riedel, Susan Krause und Wanda Schürenberg (Hgg.): Geschichtsdidaktische
Grundbegriffe. Ein Bilderbuch für Studium, Lehre und Beruf. Hannover 2020. In
H-Soz-Kult. Clio-online - Historisches Fachinformationssystem e.V.'
bibtex: '@article{Hartung_2021, place={Berlin}, title={Rezension von: Jörg van Norden,
Thomas Must, Lars Deile, Peter Riedel, Susan Krause und Wanda Schürenberg (Hgg.):
Geschichtsdidaktische Grundbegriffe. Ein Bilderbuch für Studium, Lehre und Beruf.
Hannover 2020}, journal={H-Soz-Kult}, publisher={Clio-online - Historisches Fachinformationssystem
e.V.}, author={Hartung, Olaf}, year={2021} }'
chicago: 'Hartung, Olaf. “Rezension von: Jörg van Norden, Thomas Must, Lars Deile,
Peter Riedel, Susan Krause Und Wanda Schürenberg (Hgg.): Geschichtsdidaktische
Grundbegriffe. Ein Bilderbuch Für Studium, Lehre Und Beruf. Hannover 2020.” H-Soz-Kult.
Berlin: Clio-online - Historisches Fachinformationssystem e.V., 2021.'
ieee: 'O. Hartung, “Rezension von: Jörg van Norden, Thomas Must, Lars Deile, Peter
Riedel, Susan Krause und Wanda Schürenberg (Hgg.): Geschichtsdidaktische Grundbegriffe.
Ein Bilderbuch für Studium, Lehre und Beruf. Hannover 2020,” H-Soz-Kult.
Clio-online - Historisches Fachinformationssystem e.V., Berlin, 2021.'
mla: 'Hartung, Olaf. “Rezension von: Jörg van Norden, Thomas Must, Lars Deile, Peter
Riedel, Susan Krause Und Wanda Schürenberg (Hgg.): Geschichtsdidaktische Grundbegriffe.
Ein Bilderbuch Für Studium, Lehre Und Beruf. Hannover 2020.” H-Soz-Kult,
Clio-online - Historisches Fachinformationssystem e.V., 2021.'
short: O. Hartung, H-Soz-Kult (2021).
date_created: 2023-11-12T13:38:37Z
date_updated: 2023-11-16T18:13:51Z
department:
- _id: '6'
- _id: '444'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://www.hsozkult.de/publicationreview/id/reb-94711
oa: '1'
place: Berlin
publication: H-Soz-Kult
publication_date: 2021-04-23
publisher: Clio-online - Historisches Fachinformationssystem e.V.
status: public
title: 'Rezension von: Jörg van Norden, Thomas Must, Lars Deile, Peter Riedel, Susan
Krause und Wanda Schürenberg (Hgg.): Geschichtsdidaktische Grundbegriffe. Ein Bilderbuch
für Studium, Lehre und Beruf. Hannover 2020'
type: review
user_id: '79451'
year: '2021'
...
---
_id: '22528'
abstract:
- lang: eng
text: Due to the ad hoc nature of wireless acoustic sensor networks, the position
of the sensor nodes is typically unknown. This contribution proposes a technique
to estimate the position and orientation of the sensor nodes from the recorded
speech signals. The method assumes that a node comprises a microphone array with
synchronously sampled microphones rather than a single microphone, but does not
require the sampling clocks of the nodes to be synchronized. From the observed
audio signals, the distances between the acoustic sources and arrays, as well
as the directions of arrival, are estimated. They serve as input to a non-linear
least squares problem, from which both the sensor nodes’ positions and orientations,
as well as the source positions, are alternatingly estimated in an iterative process.
Given one set of unknowns, i.e., either the source positions or the sensor nodes’
geometry, the other set of unknowns can be computed in closed-form. The proposed
approach is computationally efficient and the first one, which employs both distance
and directional information for geometry calibration in a common cost function.
Since both distance and direction of arrival measurements suffer from outliers,
e.g., caused by strong reflections of the sound waves on the surfaces of the room,
we introduce measures to deemphasize or remove unreliable measurements. Additionally,
we discuss modifications of our previously proposed deep neural network-based
acoustic distance estimator, to account not only for omnidirectional sources but
also for directional sources. Simulation results show good positioning accuracy
and compare very favorably with alternative approaches from the literature.
author:
- first_name: Tobias
full_name: Gburrek, Tobias
id: '44006'
last_name: Gburrek
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: Gburrek T, Schmalenstroeer J, Haeb-Umbach R. Geometry calibration in wireless
acoustic sensor networks utilizing DoA and distance information. EURASIP Journal
on Audio, Speech, and Music Processing. Published online 2021. doi:10.1186/s13636-021-00210-x
apa: Gburrek, T., Schmalenstroeer, J., & Haeb-Umbach, R. (2021). Geometry calibration
in wireless acoustic sensor networks utilizing DoA and distance information. EURASIP
Journal on Audio, Speech, and Music Processing. https://doi.org/10.1186/s13636-021-00210-x
bibtex: '@article{Gburrek_Schmalenstroeer_Haeb-Umbach_2021, title={Geometry calibration
in wireless acoustic sensor networks utilizing DoA and distance information},
DOI={10.1186/s13636-021-00210-x},
journal={EURASIP Journal on Audio, Speech, and Music Processing}, author={Gburrek,
Tobias and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2021} }'
chicago: Gburrek, Tobias, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Geometry
Calibration in Wireless Acoustic Sensor Networks Utilizing DoA and Distance Information.”
EURASIP Journal on Audio, Speech, and Music Processing, 2021. https://doi.org/10.1186/s13636-021-00210-x.
ieee: 'T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “Geometry calibration
in wireless acoustic sensor networks utilizing DoA and distance information,”
EURASIP Journal on Audio, Speech, and Music Processing, 2021, doi: 10.1186/s13636-021-00210-x.'
mla: Gburrek, Tobias, et al. “Geometry Calibration in Wireless Acoustic Sensor Networks
Utilizing DoA and Distance Information.” EURASIP Journal on Audio, Speech,
and Music Processing, 2021, doi:10.1186/s13636-021-00210-x.
short: T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, EURASIP Journal on Audio,
Speech, and Music Processing (2021).
date_created: 2021-07-05T05:30:15Z
date_updated: 2023-11-17T06:36:17Z
department:
- _id: '54'
doi: 10.1186/s13636-021-00210-x
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://asmp-eurasipjournals.springeropen.com/articles/10.1186/s13636-021-00210-x
oa: '1'
publication: EURASIP Journal on Audio, Speech, and Music Processing
publication_identifier:
issn:
- 1687-4722
publication_status: published
quality_controlled: '1'
status: public
title: Geometry calibration in wireless acoustic sensor networks utilizing DoA and
distance information
type: journal_article
user_id: '44006'
year: '2021'
...
---
_id: '23994'
author:
- first_name: Tobias
full_name: Gburrek, Tobias
id: '44006'
last_name: Gburrek
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Gburrek T, Schmalenstroeer J, Haeb-Umbach R. Iterative Geometry Calibration
from Distance Estimates for Wireless Acoustic Sensor Networks. In: ICASSP 2021
- 2021 IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP). ; 2021. doi:10.1109/icassp39728.2021.9413831'
apa: Gburrek, T., Schmalenstroeer, J., & Haeb-Umbach, R. (2021). Iterative Geometry
Calibration from Distance Estimates for Wireless Acoustic Sensor Networks. ICASSP
2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP). https://doi.org/10.1109/icassp39728.2021.9413831
bibtex: '@inproceedings{Gburrek_Schmalenstroeer_Haeb-Umbach_2021, title={Iterative
Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks},
DOI={10.1109/icassp39728.2021.9413831},
booktitle={ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)}, author={Gburrek, Tobias and Schmalenstroeer,
Joerg and Haeb-Umbach, Reinhold}, year={2021} }'
chicago: Gburrek, Tobias, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Iterative
Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks.”
In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and
Signal Processing (ICASSP), 2021. https://doi.org/10.1109/icassp39728.2021.9413831.
ieee: 'T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “Iterative Geometry Calibration
from Distance Estimates for Wireless Acoustic Sensor Networks,” 2021, doi: 10.1109/icassp39728.2021.9413831.'
mla: Gburrek, Tobias, et al. “Iterative Geometry Calibration from Distance Estimates
for Wireless Acoustic Sensor Networks.” ICASSP 2021 - 2021 IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, doi:10.1109/icassp39728.2021.9413831.
short: 'T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, in: ICASSP 2021 - 2021 IEEE
International Conference on Acoustics, Speech and Signal Processing (ICASSP),
2021.'
date_created: 2021-09-09T08:30:16Z
date_updated: 2023-11-17T06:30:12Z
ddc:
- '004'
department:
- _id: '54'
doi: 10.1109/icassp39728.2021.9413831
file:
- access_level: open_access
content_type: application/pdf
creator: tgburrek
date_created: 2023-11-17T06:29:40Z
date_updated: 2023-11-17T06:30:11Z
file_id: '48988'
file_name: icassp21.pdf
file_size: 312400
relation: main_file
file_date_updated: 2023-11-17T06:30:11Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
publication: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)
publication_status: published
quality_controlled: '1'
status: public
title: Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic
Sensor Networks
type: conference
user_id: '44006'
year: '2021'
...
---
_id: '23999'
author:
- first_name: Tobias
full_name: Gburrek, Tobias
id: '44006'
last_name: Gburrek
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Gburrek T, Schmalenstroeer J, Haeb-Umbach R. On Source-Microphone Distance
Estimation Using Convolutional Recurrent Neural Networks. In: Speech Communication;
14th ITG-Symposium. ; 2021:1-5.'
apa: Gburrek, T., Schmalenstroeer, J., & Haeb-Umbach, R. (2021). On Source-Microphone
Distance Estimation Using Convolutional Recurrent Neural Networks. Speech Communication;
14th ITG-Symposium, 1–5.
bibtex: '@inproceedings{Gburrek_Schmalenstroeer_Haeb-Umbach_2021, title={On Source-Microphone
Distance Estimation Using Convolutional Recurrent Neural Networks}, booktitle={Speech
Communication; 14th ITG-Symposium}, author={Gburrek, Tobias and Schmalenstroeer,
Joerg and Haeb-Umbach, Reinhold}, year={2021}, pages={1–5} }'
chicago: Gburrek, Tobias, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “On Source-Microphone
Distance Estimation Using Convolutional Recurrent Neural Networks.” In Speech
Communication; 14th ITG-Symposium, 1–5, 2021.
ieee: T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “On Source-Microphone
Distance Estimation Using Convolutional Recurrent Neural Networks,” in Speech
Communication; 14th ITG-Symposium, 2021, pp. 1–5.
mla: Gburrek, Tobias, et al. “On Source-Microphone Distance Estimation Using Convolutional
Recurrent Neural Networks.” Speech Communication; 14th ITG-Symposium, 2021,
pp. 1–5.
short: 'T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, in: Speech Communication;
14th ITG-Symposium, 2021, pp. 1–5.'
date_created: 2021-09-09T08:40:44Z
date_updated: 2023-11-17T06:32:20Z
ddc:
- '004'
department:
- _id: '54'
file:
- access_level: open_access
content_type: application/pdf
creator: tgburrek
date_created: 2023-11-17T06:31:37Z
date_updated: 2023-11-17T06:31:37Z
file_id: '48989'
file_name: dist_est.pdf
file_size: 449694
relation: main_file
file_date_updated: 2023-11-17T06:31:37Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
page: 1-5
publication: Speech Communication; 14th ITG-Symposium
quality_controlled: '1'
status: public
title: On Source-Microphone Distance Estimation Using Convolutional Recurrent Neural
Networks
type: conference
user_id: '44006'
year: '2021'
...
---
_id: '23997'
author:
- first_name: Aleksej
full_name: Chinaev, Aleksej
last_name: Chinaev
- first_name: Gerald
full_name: Enzner, Gerald
last_name: Enzner
- first_name: Tobias
full_name: Gburrek, Tobias
id: '44006'
last_name: Gburrek
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
citation:
ama: 'Chinaev A, Enzner G, Gburrek T, Schmalenstroeer J. Online Estimation of Sampling
Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss. In: 29th
European Signal Processing Conference (EUSIPCO). ; 2021:1-5.'
apa: Chinaev, A., Enzner, G., Gburrek, T., & Schmalenstroeer, J. (2021). Online
Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with
Packet Loss. 29th European Signal Processing Conference (EUSIPCO), 1–5.
bibtex: '@inproceedings{Chinaev_Enzner_Gburrek_Schmalenstroeer_2021, title={Online
Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with
Packet Loss}, booktitle={29th European Signal Processing Conference (EUSIPCO)},
author={Chinaev, Aleksej and Enzner, Gerald and Gburrek, Tobias and Schmalenstroeer,
Joerg}, year={2021}, pages={1–5} }'
chicago: Chinaev, Aleksej, Gerald Enzner, Tobias Gburrek, and Joerg Schmalenstroeer.
“Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks
with Packet Loss.” In 29th European Signal Processing Conference (EUSIPCO),
1–5, 2021.
ieee: A. Chinaev, G. Enzner, T. Gburrek, and J. Schmalenstroeer, “Online Estimation
of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss,”
in 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1–5.
mla: Chinaev, Aleksej, et al. “Online Estimation of Sampling Rate Offsets in Wireless
Acoustic Sensor Networks with Packet Loss.” 29th European Signal Processing
Conference (EUSIPCO), 2021, pp. 1–5.
short: 'A. Chinaev, G. Enzner, T. Gburrek, J. Schmalenstroeer, in: 29th European
Signal Processing Conference (EUSIPCO), 2021, pp. 1–5.'
date_created: 2021-09-09T08:39:06Z
date_updated: 2023-11-17T06:37:10Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://eurasip.org/Proceedings/Eusipco/Eusipco2021/pdfs/0001110.pdf
oa: '1'
page: 1-5
publication: 29th European Signal Processing Conference (EUSIPCO)
quality_controlled: '1'
status: public
title: Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks
with Packet Loss
type: conference
user_id: '44006'
year: '2021'
...
---
_id: '49017'
author:
- first_name: Tilman
full_name: Moritz, Tilman
id: '23692'
last_name: Moritz
citation:
ama: 'Moritz T. A. Seidler, I. Monok (Hgg.): Reformation und Bücher. Zentren der
Ideen – Zentren der Buchproduktion. Wiesbaden 2020. sehepunkte. 2021;21(10).'
apa: 'Moritz, T. (2021). A. Seidler, I. Monok (Hgg.): Reformation und Bücher. Zentren
der Ideen – Zentren der Buchproduktion. Wiesbaden 2020. In sehepunkte (Vol.
21, Issue 10).'
bibtex: '@article{Moritz_2021, title={A. Seidler, I. Monok (Hgg.): Reformation und
Bücher. Zentren der Ideen – Zentren der Buchproduktion. Wiesbaden 2020}, volume={21},
number={10}, journal={sehepunkte}, author={Moritz, Tilman}, year={2021} }'
chicago: 'Moritz, Tilman. “A. Seidler, I. Monok (Hgg.): Reformation und Bücher.
Zentren der Ideen – Zentren der Buchproduktion. Wiesbaden 2020.” sehepunkte,
2021.'
ieee: 'T. Moritz, “A. Seidler, I. Monok (Hgg.): Reformation und Bücher. Zentren
der Ideen – Zentren der Buchproduktion. Wiesbaden 2020,” sehepunkte, vol.
21, no. 10. 2021.'
mla: 'Moritz, Tilman. “A. Seidler, I. Monok (Hgg.): Reformation und Bücher. Zentren
der Ideen – Zentren der Buchproduktion. Wiesbaden 2020.” sehepunkte, vol.
21, no. 10, 2021.'
short: T. Moritz, sehepunkte 21 (2021).
date_created: 2023-11-17T10:04:39Z
date_updated: 2023-11-17T10:18:36Z
intvolume: ' 21'
issue: '10'
language:
- iso: ger
main_file_link:
- open_access: '1'
url: http://www.sehepunkte.de/2021/10/33878.html
oa: '1'
publication: sehepunkte
publication_date: 2021-10-15
publication_status: published
status: public
title: 'A. Seidler, I. Monok (Hgg.): Reformation und Bücher. Zentren der Ideen – Zentren
der Buchproduktion. Wiesbaden 2020'
type: review
user_id: '23692'
volume: 21
year: '2021'
...
---
_id: '29304'
abstract:
- lang: eng
text: 'In this work we address disentanglement of style and content in speech signals.
We propose a fully convolutional variational autoencoder employing two encoders:
a content encoder and a style encoder. To foster disentanglement, we propose adversarial
contrastive predictive coding. This new disentanglement method does neither need
parallel data nor any supervision. We show that the proposed technique is capable
of separating speaker and content traits into the two different representations
and show competitive speaker-content disentanglement performance compared to other
unsupervised approaches. We further demonstrate an increased robustness of the
content representation against a train-test mismatch compared to spectral features,
when used for phone recognition.'
author:
- first_name: Janek
full_name: Ebbers, Janek
id: '34851'
last_name: Ebbers
- first_name: Michael
full_name: Kuhlmann, Michael
id: '49871'
last_name: Kuhlmann
- first_name: Tobias
full_name: Cord-Landwehr, Tobias
id: '44393'
last_name: Cord-Landwehr
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Ebbers J, Kuhlmann M, Cord-Landwehr T, Haeb-Umbach R. Contrastive Predictive
Coding Supported Factorized Variational Autoencoder for Unsupervised Learning
of Disentangled Speech Representations. In: Proceedings of the IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2021:3860–3864.'
apa: Ebbers, J., Kuhlmann, M., Cord-Landwehr, T., & Haeb-Umbach, R. (2021).
Contrastive Predictive Coding Supported Factorized Variational Autoencoder for
Unsupervised Learning of Disentangled Speech Representations. Proceedings of
the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
3860–3864.
bibtex: '@inproceedings{Ebbers_Kuhlmann_Cord-Landwehr_Haeb-Umbach_2021, title={Contrastive
Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised
Learning of Disentangled Speech Representations}, booktitle={Proceedings of the
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
author={Ebbers, Janek and Kuhlmann, Michael and Cord-Landwehr, Tobias and Haeb-Umbach,
Reinhold}, year={2021}, pages={3860–3864} }'
chicago: Ebbers, Janek, Michael Kuhlmann, Tobias Cord-Landwehr, and Reinhold Haeb-Umbach.
“Contrastive Predictive Coding Supported Factorized Variational Autoencoder for
Unsupervised Learning of Disentangled Speech Representations.” In Proceedings
of the IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP), 3860–3864, 2021.
ieee: J. Ebbers, M. Kuhlmann, T. Cord-Landwehr, and R. Haeb-Umbach, “Contrastive
Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised
Learning of Disentangled Speech Representations,” in Proceedings of the IEEE
International Conference on Acoustics, Speech and Signal Processing (ICASSP),
2021, pp. 3860–3864.
mla: Ebbers, Janek, et al. “Contrastive Predictive Coding Supported Factorized Variational
Autoencoder for Unsupervised Learning of Disentangled Speech Representations.”
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal
Processing (ICASSP), 2021, pp. 3860–3864.
short: 'J. Ebbers, M. Kuhlmann, T. Cord-Landwehr, R. Haeb-Umbach, in: Proceedings
of the IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP), 2021, pp. 3860–3864.'
date_created: 2022-01-13T07:55:29Z
date_updated: 2023-11-22T08:29:42Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: open_access
content_type: application/pdf
creator: ebbers
date_created: 2022-01-13T07:56:30Z
date_updated: 2022-01-13T08:19:19Z
file_id: '29305'
file_name: Template.pdf
file_size: 236628
relation: main_file
file_date_updated: 2022-01-13T08:19:19Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
page: 3860–3864
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: Proceedings of the IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)
quality_controlled: '1'
status: public
title: Contrastive Predictive Coding Supported Factorized Variational Autoencoder
for Unsupervised Learning of Disentangled Speech Representations
type: conference
user_id: '34851'
year: '2021'
...