---
_id: '29294'
author:
- first_name: Tobias
full_name: Nickchen, Tobias
id: '27340'
last_name: Nickchen
orcid: 0000-0001-8958-9330
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
citation:
ama: 'Nickchen T, Heindorf S, Engels G. Generating Physically Sound Training Data
for Image Recognition of Additively Manufactured Parts. In: 2021 IEEE Winter
Conference on Applications of Computer Vision (WACV). IEEE; 2021. doi:10.1109/wacv48630.2021.00204'
apa: Nickchen, T., Heindorf, S., & Engels, G. (2021). Generating Physically
Sound Training Data for Image Recognition of Additively Manufactured Parts. 2021
IEEE Winter Conference on Applications of Computer Vision (WACV). https://doi.org/10.1109/wacv48630.2021.00204
bibtex: '@inproceedings{Nickchen_Heindorf_Engels_2021, title={Generating Physically
Sound Training Data for Image Recognition of Additively Manufactured Parts}, DOI={10.1109/wacv48630.2021.00204},
booktitle={2021 IEEE Winter Conference on Applications of Computer Vision (WACV)},
publisher={IEEE}, author={Nickchen, Tobias and Heindorf, Stefan and Engels, Gregor},
year={2021} }'
chicago: Nickchen, Tobias, Stefan Heindorf, and Gregor Engels. “Generating Physically
Sound Training Data for Image Recognition of Additively Manufactured Parts.” In
2021 IEEE Winter Conference on Applications of Computer Vision (WACV).
IEEE, 2021. https://doi.org/10.1109/wacv48630.2021.00204.
ieee: 'T. Nickchen, S. Heindorf, and G. Engels, “Generating Physically Sound Training
Data for Image Recognition of Additively Manufactured Parts,” 2021, doi: 10.1109/wacv48630.2021.00204.'
mla: Nickchen, Tobias, et al. “Generating Physically Sound Training Data for Image
Recognition of Additively Manufactured Parts.” 2021 IEEE Winter Conference
on Applications of Computer Vision (WACV), IEEE, 2021, doi:10.1109/wacv48630.2021.00204.
short: 'T. Nickchen, S. Heindorf, G. Engels, in: 2021 IEEE Winter Conference on
Applications of Computer Vision (WACV), IEEE, 2021.'
date_created: 2022-01-12T10:31:42Z
date_updated: 2022-10-17T15:07:38Z
department:
- _id: '66'
- _id: '574'
doi: 10.1109/wacv48630.2021.00204
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://openaccess.thecvf.com/content/WACV2021/papers/Nickchen_Generating_Physically_Sound_Training_Data_for_Image_Recognition_of_Additively_WACV_2021_paper.pdf
oa: '1'
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: 2021 IEEE Winter Conference on Applications of Computer Vision (WACV)
publication_status: published
publisher: IEEE
status: public
title: Generating Physically Sound Training Data for Image Recognition of Additively
Manufactured Parts
type: conference
user_id: '11871'
year: '2021'
...
---
_id: '33733'
author:
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
citation:
ama: Heindorf S. Automatically generating instructions from tutorials for search
and user navigation. Published online 2021.
apa: Heindorf, S. (2021). Automatically generating instructions from tutorials
for search and user navigation.
bibtex: '@article{Heindorf_2021, title={Automatically generating instructions from
tutorials for search and user navigation}, author={Heindorf, Stefan}, year={2021}
}'
chicago: Heindorf, Stefan. “Automatically Generating Instructions from Tutorials
for Search and User Navigation,” 2021.
ieee: S. Heindorf, “Automatically generating instructions from tutorials for search
and user navigation.” 2021.
mla: Heindorf, Stefan. Automatically Generating Instructions from Tutorials for
Search and User Navigation. 2021.
short: S. Heindorf, (2021).
date_created: 2022-10-15T19:19:10Z
date_updated: 2022-10-17T15:21:49Z
ipc: 'US15/885,363 '
ipn: '10936684'
main_file_link:
- open_access: '1'
url: https://patentimages.storage.googleapis.com/f6/21/79/657191c3dfe93b/US10936684.pdf
oa: '1'
publication_date: 2021-03-02
status: public
title: Automatically generating instructions from tutorials for search and user navigation
type: patent
user_id: '11871'
year: '2021'
...
---
_id: '23728'
abstract:
- lang: eng
text: We demonstrate the integration of amorphous tungsten silicide superconducting
nanowire single-photon detectors on titanium in-diffused lithium niobate waveguides.
We show proof-of-principle detection of evanescently coupled photons of 1550 nm
wavelength using bidirectional waveguide coupling for two orthogonal polarization
directions. We investigate the internal detection efficiency as well as detector
absorption using coupling-independent characterization measurements. Furthermore,
we describe strategies to improve the yield and efficiency of these devices.
article_type: original
author:
- first_name: Jan Philipp
full_name: Höpker, Jan Philipp
id: '33913'
last_name: Höpker
- first_name: Varun B
full_name: Verma, Varun B
last_name: Verma
- first_name: Maximilian
full_name: Protte, Maximilian
id: '46170'
last_name: Protte
- first_name: Raimund
full_name: Ricken, Raimund
last_name: Ricken
- first_name: Viktor
full_name: Quiring, Viktor
last_name: Quiring
- first_name: Christof
full_name: Eigner, Christof
id: '13244'
last_name: Eigner
orcid: https://orcid.org/0000-0002-5693-3083
- first_name: Lena
full_name: Ebers, Lena
id: '40428'
last_name: Ebers
- first_name: Manfred
full_name: Hammer, Manfred
id: '48077'
last_name: Hammer
orcid: 0000-0002-6331-9348
- first_name: Jens
full_name: Förstner, Jens
id: '158'
last_name: Förstner
orcid: 0000-0001-7059-9862
- first_name: Christine
full_name: Silberhorn, Christine
id: '26263'
last_name: Silberhorn
- first_name: Richard P
full_name: Mirin, Richard P
last_name: Mirin
- first_name: Sae
full_name: Woo Nam, Sae
last_name: Woo Nam
- first_name: Tim
full_name: Bartley, Tim
id: '49683'
last_name: Bartley
citation:
ama: 'Höpker JP, Verma VB, Protte M, et al. Integrated superconducting nanowire
single-photon detectors on titanium in-diffused lithium niobate waveguides. Journal
of Physics: Photonics. 2021;3:034022. doi:10.1088/2515-7647/ac105b'
apa: 'Höpker, J. P., Verma, V. B., Protte, M., Ricken, R., Quiring, V., Eigner,
C., Ebers, L., Hammer, M., Förstner, J., Silberhorn, C., Mirin, R. P., Woo Nam,
S., & Bartley, T. (2021). Integrated superconducting nanowire single-photon
detectors on titanium in-diffused lithium niobate waveguides. Journal of Physics:
Photonics, 3, 034022. https://doi.org/10.1088/2515-7647/ac105b'
bibtex: '@article{Höpker_Verma_Protte_Ricken_Quiring_Eigner_Ebers_Hammer_Förstner_Silberhorn_et
al._2021, title={Integrated superconducting nanowire single-photon detectors on
titanium in-diffused lithium niobate waveguides}, volume={3}, DOI={10.1088/2515-7647/ac105b},
journal={Journal of Physics: Photonics}, author={Höpker, Jan Philipp and Verma,
Varun B and Protte, Maximilian and Ricken, Raimund and Quiring, Viktor and Eigner,
Christof and Ebers, Lena and Hammer, Manfred and Förstner, Jens and Silberhorn,
Christine and et al.}, year={2021}, pages={034022} }'
chicago: 'Höpker, Jan Philipp, Varun B Verma, Maximilian Protte, Raimund Ricken,
Viktor Quiring, Christof Eigner, Lena Ebers, et al. “Integrated Superconducting
Nanowire Single-Photon Detectors on Titanium in-Diffused Lithium Niobate Waveguides.”
Journal of Physics: Photonics 3 (2021): 034022. https://doi.org/10.1088/2515-7647/ac105b.'
ieee: 'J. P. Höpker et al., “Integrated superconducting nanowire single-photon
detectors on titanium in-diffused lithium niobate waveguides,” Journal of Physics:
Photonics, vol. 3, p. 034022, 2021, doi: 10.1088/2515-7647/ac105b.'
mla: 'Höpker, Jan Philipp, et al. “Integrated Superconducting Nanowire Single-Photon
Detectors on Titanium in-Diffused Lithium Niobate Waveguides.” Journal of Physics:
Photonics, vol. 3, 2021, p. 034022, doi:10.1088/2515-7647/ac105b.'
short: 'J.P. Höpker, V.B. Verma, M. Protte, R. Ricken, V. Quiring, C. Eigner, L.
Ebers, M. Hammer, J. Förstner, C. Silberhorn, R.P. Mirin, S. Woo Nam, T. Bartley,
Journal of Physics: Photonics 3 (2021) 034022.'
date_created: 2021-09-03T08:04:06Z
date_updated: 2022-10-25T07:34:42Z
ddc:
- '530'
department:
- _id: '15'
- _id: '61'
- _id: '230'
doi: 10.1088/2515-7647/ac105b
file:
- access_level: open_access
content_type: application/pdf
creator: fossie
date_created: 2021-09-07T07:41:04Z
date_updated: 2021-09-07T07:41:04Z
file_id: '23825'
file_name: 2021-07 Höpker J._Phys._Photonics_3_034022.pdf
file_size: 1097820
relation: main_file
file_date_updated: 2021-09-07T07:41:04Z
has_accepted_license: '1'
intvolume: ' 3'
language:
- iso: eng
oa: '1'
page: '034022'
project:
- _id: '53'
name: TRR 142
publication: 'Journal of Physics: Photonics'
publication_identifier:
issn:
- 2515-7647
publication_status: published
status: public
title: Integrated superconducting nanowire single-photon detectors on titanium in-diffused
lithium niobate waveguides
type: journal_article
user_id: '49683'
volume: 3
year: '2021'
...
---
_id: '25046'
abstract:
- lang: eng
text: While increasing digitalization enables multiple advantages for a
reliable operation of technical systems, a remaining challenge in the context
of condition monitoring is seen in suitable consideration of uncertainties affecting
the monitored system. Therefore, a suitable prognostic approach to predict the
remaining useful lifetime of complex technical systems is required. To handle
different kinds of uncertainties, a novel Multi-Model-Particle Filtering-based
prognostic approach is developed and evaluated by the use case of rubber-metal-elements.
These elements are maintained preventively due to the strong influence of uncertainties
on their behavior. In this paper, two measurement quantities are compared concerning
their ability to establish a prediction of the remaining useful lifetime of the
monitored elements and the influence of present uncertainties. Based on three
performance indices, the results are evaluated. A comparison with predictions
of a classical Particle Filter underlines the superiority of the developed Multi-Model-Particle
Filter. Finally, the value of the developed method for enabling condition monitoring
of technical systems related to uncertainties is given exemplary by a comparison
between the preventive and the predictive maintenance strategy for the use case.
article_number: '210'
article_type: original
author:
- first_name: Amelie
full_name: Bender, Amelie
id: '54290'
last_name: Bender
citation:
ama: Bender A. A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider
Uncertainties in RUL Predictions. Machines. 2021;9(10). doi:10.3390/machines9100210
apa: Bender, A. (2021). A Multi-Model-Particle Filtering-Based Prognostic Approach
to Consider Uncertainties in RUL Predictions. Machines, 9(10), Article
210. https://doi.org/10.3390/machines9100210
bibtex: '@article{Bender_2021, title={A Multi-Model-Particle Filtering-Based Prognostic
Approach to Consider Uncertainties in RUL Predictions}, volume={9}, DOI={10.3390/machines9100210},
number={10210}, journal={Machines}, author={Bender, Amelie}, year={2021} }'
chicago: Bender, Amelie. “A Multi-Model-Particle Filtering-Based Prognostic Approach
to Consider Uncertainties in RUL Predictions.” Machines 9, no. 10 (2021).
https://doi.org/10.3390/machines9100210.
ieee: 'A. Bender, “A Multi-Model-Particle Filtering-Based Prognostic Approach to
Consider Uncertainties in RUL Predictions,” Machines, vol. 9, no. 10, Art.
no. 210, 2021, doi: 10.3390/machines9100210.'
mla: Bender, Amelie. “A Multi-Model-Particle Filtering-Based Prognostic Approach
to Consider Uncertainties in RUL Predictions.” Machines, vol. 9, no. 10,
210, 2021, doi:10.3390/machines9100210.
short: A. Bender, Machines 9 (2021).
date_created: 2021-09-27T07:07:58Z
date_updated: 2022-11-03T11:42:46Z
department:
- _id: '151'
doi: 10.3390/machines9100210
intvolume: ' 9'
issue: '10'
keyword:
- prognostics
- RUL predictions
- particle filter
- uncertainty consideration
- Multi-Model-Particle Filter
- model-based approach
- rubber-metal-elements
- predictive maintenance
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.mdpi.com/2075-1702/9/10/210
oa: '1'
publication: Machines
publication_identifier:
issn:
- 2075-1702
publication_status: published
quality_controlled: '1'
status: public
title: A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties
in RUL Predictions
type: journal_article
user_id: '54290'
volume: 9
year: '2021'
...
---
_id: '35889'
abstract:
- lang: eng
text: Network and service coordination is important to provide modern services consisting
of multiple interconnected components, e.g., in 5G, network function virtualization
(NFV), or cloud and edge computing. In this paper, I outline my dissertation research,
which proposes six approaches to automate such network and service coordination.
All approaches dynamically react to the current demand and optimize coordination
for high service quality and low costs. The approaches range from centralized
to distributed methods and from conventional heuristic algorithms and mixed-integer
linear programs to machine learning approaches using supervised and reinforcement
learning. I briefly discuss their main ideas and advantages over other state-of-the-art
approaches and compare strengths and weaknesses.
author:
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
citation:
ama: Schneider SB. Conventional and Machine Learning Approaches for Network and
Service Coordination.; 2021.
apa: Schneider, S. B. (2021). Conventional and Machine Learning Approaches for
Network and Service Coordination.
bibtex: '@book{Schneider_2021, title={Conventional and Machine Learning Approaches
for Network and Service Coordination}, author={Schneider, Stefan Balthasar}, year={2021}
}'
chicago: Schneider, Stefan Balthasar. Conventional and Machine Learning Approaches
for Network and Service Coordination, 2021.
ieee: S. B. Schneider, Conventional and Machine Learning Approaches for Network
and Service Coordination. 2021.
mla: Schneider, Stefan Balthasar. Conventional and Machine Learning Approaches
for Network and Service Coordination. 2021.
short: S.B. Schneider, Conventional and Machine Learning Approaches for Network
and Service Coordination, 2021.
date_created: 2023-01-10T15:08:50Z
date_updated: 2023-01-10T15:09:05Z
ddc:
- '004'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: stschn
date_created: 2023-01-10T15:07:03Z
date_updated: 2023-01-10T15:07:03Z
file_id: '35890'
file_name: main.pdf
file_size: 133340
relation: main_file
file_date_updated: 2023-01-10T15:07:03Z
has_accepted_license: '1'
keyword:
- nfv
- coordination
- machine learning
- reinforcement learning
- phd
- digest
language:
- iso: eng
oa: '1'
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
- _id: '16'
name: 'SFB 901 - C4: SFB 901 - Subproject C4'
status: public
title: Conventional and Machine Learning Approaches for Network and Service Coordination
type: working_paper
user_id: '35343'
year: '2021'
...
---
_id: '36260'
author:
- first_name: Jutta
full_name: Weber, Jutta
id: '31494'
last_name: Weber
citation:
ama: 'Weber J. Artificial Intelligence and the Sociotechnical Imaginary: On Skynet,
Self-Healing Swarms and Slaughterbots. In: Maurer K, Graae AI, eds. Drone Imaginaries.
The Power of Remote Vision. Manchester University Press; 2021:167-179.'
apa: 'Weber, J. (2021). Artificial Intelligence and the Sociotechnical Imaginary:
On Skynet, Self-Healing Swarms and Slaughterbots. In K. Maurer & A. I. Graae
(Eds.), Drone Imaginaries. The Power of Remote Vision (pp. 167–179). Manchester
University Press.'
bibtex: '@inbook{Weber_2021, place={Manchester}, title={Artificial Intelligence
and the Sociotechnical Imaginary: On Skynet, Self-Healing Swarms and Slaughterbots},
booktitle={Drone Imaginaries. The Power of Remote Vision}, publisher={Manchester
University Press}, author={Weber, Jutta}, editor={Maurer, Kathrin and Graae, Andreas
Immanuel}, year={2021}, pages={167–179} }'
chicago: 'Weber, Jutta. “Artificial Intelligence and the Sociotechnical Imaginary:
On Skynet, Self-Healing Swarms and Slaughterbots.” In Drone Imaginaries. The
Power of Remote Vision, edited by Kathrin Maurer and Andreas Immanuel Graae,
167–79. Manchester: Manchester University Press, 2021.'
ieee: 'J. Weber, “Artificial Intelligence and the Sociotechnical Imaginary: On Skynet,
Self-Healing Swarms and Slaughterbots,” in Drone Imaginaries. The Power of
Remote Vision, K. Maurer and A. I. Graae, Eds. Manchester: Manchester University
Press, 2021, pp. 167–179.'
mla: 'Weber, Jutta. “Artificial Intelligence and the Sociotechnical Imaginary: On
Skynet, Self-Healing Swarms and Slaughterbots.” Drone Imaginaries. The Power
of Remote Vision, edited by Kathrin Maurer and Andreas Immanuel Graae, Manchester
University Press, 2021, pp. 167–79.'
short: 'J. Weber, in: K. Maurer, A.I. Graae (Eds.), Drone Imaginaries. The Power
of Remote Vision, Manchester University Press, Manchester, 2021, pp. 167–179.'
date_created: 2023-01-12T06:18:46Z
date_updated: 2023-01-12T06:19:16Z
department:
- _id: '411'
editor:
- first_name: Kathrin
full_name: Maurer, Kathrin
last_name: Maurer
- first_name: Andreas Immanuel
full_name: Graae, Andreas Immanuel
last_name: Graae
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://juttaweber.eu/wordpress/wp-content/uploads/2020/03/Weber_Artificial-intelligence-and-the-socio-technical-imaginary-1.pdf
oa: '1'
page: 167-179
place: Manchester
publication: Drone Imaginaries. The Power of Remote Vision
publisher: Manchester University Press
status: public
title: 'Artificial Intelligence and the Sociotechnical Imaginary: On Skynet, Self-Healing
Swarms and Slaughterbots'
type: book_chapter
user_id: '14932'
year: '2021'
...
---
_id: '36257'
author:
- first_name: Jutta
full_name: Weber, Jutta
id: '31494'
last_name: Weber
- first_name: Katja
full_name: Mayer, Katja
last_name: Mayer
citation:
ama: 'Weber J, Mayer K. From Optimizing Military Operations to Targeting Terrorist
Networks: Social Network Analysis in Data-Driven Warfare. In: Burkhardt M, Shnayien
M, Grashöfer K, eds. Explorations in Digital Cultures. meson press; 2021.'
apa: 'Weber, J., & Mayer, K. (2021). From Optimizing Military Operations to
Targeting Terrorist Networks: Social Network Analysis in Data-Driven Warfare.
In M. Burkhardt, M. Shnayien, & K. Grashöfer (Eds.), Explorations in Digital
Cultures. meson press.'
bibtex: '@inbook{Weber_Mayer_2021, place={Lüneburg}, title={From Optimizing Military
Operations to Targeting Terrorist Networks: Social Network Analysis in Data-Driven
Warfare}, booktitle={Explorations in Digital Cultures}, publisher={meson press},
author={Weber, Jutta and Mayer, Katja}, editor={Burkhardt, Marcus and Shnayien,
Mary and Grashöfer, Katja}, year={2021} }'
chicago: 'Weber, Jutta, and Katja Mayer. “From Optimizing Military Operations to
Targeting Terrorist Networks: Social Network Analysis in Data-Driven Warfare.”
In Explorations in Digital Cultures, edited by Marcus Burkhardt, Mary Shnayien,
and Katja Grashöfer. Lüneburg: meson press, 2021.'
ieee: 'J. Weber and K. Mayer, “From Optimizing Military Operations to Targeting
Terrorist Networks: Social Network Analysis in Data-Driven Warfare,” in Explorations
in Digital Cultures, M. Burkhardt, M. Shnayien, and K. Grashöfer, Eds. Lüneburg:
meson press, 2021.'
mla: 'Weber, Jutta, and Katja Mayer. “From Optimizing Military Operations to Targeting
Terrorist Networks: Social Network Analysis in Data-Driven Warfare.” Explorations
in Digital Cultures, edited by Marcus Burkhardt et al., meson press, 2021.'
short: 'J. Weber, K. Mayer, in: M. Burkhardt, M. Shnayien, K. Grashöfer (Eds.),
Explorations in Digital Cultures, meson press, Lüneburg, 2021.'
date_created: 2023-01-12T06:04:44Z
date_updated: 2023-01-12T06:05:16Z
department:
- _id: '411'
editor:
- first_name: Marcus
full_name: Burkhardt, Marcus
last_name: Burkhardt
- first_name: Mary
full_name: Shnayien, Mary
last_name: Shnayien
- first_name: Katja
full_name: Grashöfer, Katja
last_name: Grashöfer
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://explorations.meson.press/
oa: '1'
place: Lüneburg
publication: Explorations in Digital Cultures
publisher: meson press
status: public
title: 'From Optimizing Military Operations to Targeting Terrorist Networks: Social
Network Analysis in Data-Driven Warfare'
type: book_chapter
user_id: '14932'
year: '2021'
...
---
_id: '36256'
author:
- first_name: Jutta
full_name: Weber, Jutta
id: '31494'
last_name: Weber
citation:
ama: 'Weber J. Human-Machine Learning und Digital Commons. In: Braun K, Kropp C,
eds. In digitaler Gesellschaft. Neukonfigurationen zwischen Robotern, Algorithmen
und Usern. transcript; 2021:213-222.'
apa: Weber, J. (2021). Human-Machine Learning und Digital Commons. In K. Braun &
C. Kropp (Eds.), In digitaler Gesellschaft. Neukonfigurationen zwischen Robotern,
Algorithmen und Usern (pp. 213–222). transcript.
bibtex: '@inbook{Weber_2021, place={Bielefeld}, title={Human-Machine Learning und
Digital Commons}, booktitle={In digitaler Gesellschaft. Neukonfigurationen zwischen
Robotern, Algorithmen und Usern}, publisher={transcript}, author={Weber, Jutta},
editor={Braun, Kathrin and Kropp, Cordula}, year={2021}, pages={213–222} }'
chicago: 'Weber, Jutta. “Human-Machine Learning und Digital Commons.” In In digitaler
Gesellschaft. Neukonfigurationen zwischen Robotern, Algorithmen und Usern,
edited by Kathrin Braun and Cordula Kropp, 213–22. Bielefeld: transcript, 2021.'
ieee: 'J. Weber, “Human-Machine Learning und Digital Commons,” in In digitaler
Gesellschaft. Neukonfigurationen zwischen Robotern, Algorithmen und Usern,
K. Braun and C. Kropp, Eds. Bielefeld: transcript, 2021, pp. 213–222.'
mla: Weber, Jutta. “Human-Machine Learning und Digital Commons.” In digitaler
Gesellschaft. Neukonfigurationen zwischen Robotern, Algorithmen und Usern,
edited by Kathrin Braun and Cordula Kropp, transcript, 2021, pp. 213–22.
short: 'J. Weber, in: K. Braun, C. Kropp (Eds.), In digitaler Gesellschaft. Neukonfigurationen
zwischen Robotern, Algorithmen und Usern, transcript, Bielefeld, 2021, pp. 213–222.'
date_created: 2023-01-12T05:56:27Z
date_updated: 2023-01-12T05:56:33Z
department:
- _id: '411'
editor:
- first_name: Kathrin
full_name: Braun, Kathrin
last_name: Braun
- first_name: Cordula
full_name: Kropp, Cordula
last_name: Kropp
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://juttaweber.eu/wordpress/wp-content/uploads/2021/10/oa97838394545345e2h1FRnkmT9K-seiten-1-7133-135214-223.pdf
oa: '1'
page: 213-222
place: Bielefeld
publication: In digitaler Gesellschaft. Neukonfigurationen zwischen Robotern, Algorithmen
und Usern
publisher: transcript
status: public
title: Human-Machine Learning und Digital Commons
type: book_chapter
user_id: '14932'
year: '2021'
...
---
_id: '36545'
abstract:
- lang: eng
text: 'Due to the Corona crisis, German Higher Education Institutions had to close
their campuses in March and lecturers had to teach online. To understand how the
Corona crisis affected students, first this article explains the structural and
social inequalities in the German higher education system, using Tinto''s (1975;
1997) student engagement theory. Second, the concept of Bergman-Rosamond et al.
(2020) is used to analyze the challenges that Corona has raised for students,
including current surveys. We found that the closure of the social space campus
(and the Corona crisis as a whole) particularly hit hard those students who had
previously been affected by (intersectional) inequality. Therefore, to lessen
the specific challenges associated with the ad hoc transition to digital studying,
the creation of a digital community of learning can help. We demonstrate how such
a community can be created by the example seminar, "Digital practices: an autoethnographic
observation". During the seminar, students recorded their digital technology use
in a journal, and we analyzed the diary entries using the collaborate autoethnography
method. The seminar example shows that this method is well suited for the development
of a community of learning as it not only places students in the spotlight but
as students work together on a topic they get to know each other, and a basis
of trust is created through peer-feedback. Therefore, it was important to have
a digital space (in this case Mahara) where the exchange could take place. The
continuous insight into the students’ "learning status" enabled the lecturer to
promote the learning and provide individual assistance for the students.'
article_type: original
author:
- first_name: Isabel
full_name: Steinhardt, Isabel
id: '90339'
last_name: Steinhardt
orcid: https://orcid.org/0000-0002-2590-6189
citation:
ama: 'Steinhardt I. Students in the spotlight: Using collaborative autoethnography
to build a community of learning in the Corona crisis. ISA Pedagogy Series.
2021;1(1):42-59.'
apa: 'Steinhardt, I. (2021). Students in the spotlight: Using collaborative autoethnography
to build a community of learning in the Corona crisis. ISA Pedagogy Series,
1(1), 42–59.'
bibtex: '@article{Steinhardt_2021, title={Students in the spotlight: Using collaborative
autoethnography to build a community of learning in the Corona crisis}, volume={1},
number={1}, journal={ISA Pedagogy Series}, publisher={International Sociology
Association}, author={Steinhardt, Isabel}, year={2021}, pages={42–59} }'
chicago: 'Steinhardt, Isabel. “Students in the Spotlight: Using Collaborative Autoethnography
to Build a Community of Learning in the Corona Crisis.” ISA Pedagogy Series
1, no. 1 (2021): 42–59.'
ieee: 'I. Steinhardt, “Students in the spotlight: Using collaborative autoethnography
to build a community of learning in the Corona crisis,” ISA Pedagogy Series,
vol. 1, no. 1, pp. 42–59, 2021.'
mla: 'Steinhardt, Isabel. “Students in the Spotlight: Using Collaborative Autoethnography
to Build a Community of Learning in the Corona Crisis.” ISA Pedagogy Series,
vol. 1, no. 1, International Sociology Association, 2021, pp. 42–59.'
short: I. Steinhardt, ISA Pedagogy Series 1 (2021) 42–59.
date_created: 2023-01-13T09:21:52Z
date_updated: 2023-01-13T09:21:57Z
ddc:
- '300'
department:
- _id: '121'
extern: '1'
file:
- access_level: closed
content_type: application/pdf
creator: isste
date_created: 2023-01-13T09:19:55Z
date_updated: 2023-01-13T09:19:55Z
file_id: '36547'
file_name: 2021 Steinhardt Students in the spotlight.pdf
file_size: 391202
relation: main_file
success: 1
file_date_updated: 2023-01-13T09:19:55Z
has_accepted_license: '1'
intvolume: ' 1'
issue: '1'
keyword:
- Intersectionality
- inequality
- gender
- diversity
- higher-education
- crisis
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.isaportal.org/resources/resource/students-in-the-spotlight-using-collaborative-autoethnography-to-build-a-community-of-learning-in-the-corona-crisis/
oa: '1'
page: 42-59
publication: ISA Pedagogy Series
publication_status: published
publisher: International Sociology Association
quality_controlled: '1'
status: public
title: 'Students in the spotlight: Using collaborative autoethnography to build a
community of learning in the Corona crisis'
type: journal_article
user_id: '90339'
volume: 1
year: '2021'
...
---
_id: '36551'
abstract:
- lang: eng
text: 'The call for free access to research data and materials is becoming louder
and louder from the political and scientific communities in Germany. More and
more researchers are facing demands to open up qualitative research data for scientific
purposes. They often have a general interest in sharing their data, but are unsure
how to proceed. This handout was developed to provide an initial introduction
to opening and sharing qualitative data. It was developed at a workshop held in
Berlin in January 2020, organized by the research group „Digitization of Science“
of the Weizenbaum Institute, together with its associate researcher Dr. Isabel
Steinhardt from the University of Kassel. The workshop involved staff from German
research data centers as well as mentees and mentors from the Fellow Program Open
Science who already have experience with Open Science, qualitative research, and
interdisciplinary research. The handout is addressed primarily to qualitatively
researching scientists in Germany. For this reason, it was initially written in
German. One year later, we have now decided to translate the handout into English
as well. The reasons are twofold: first, we want to make it accessible to researchers
in Germany with little knowledge of German. Second, we also want to give interested
people outside Germany an insight into the German system and the German discussion
about opening up and sharing qualitative data. Due to the objectives and the history
of its development, the handout focuses on the German context. This includes the
literature references and further sources, and the references to research data
centers as well as legal issues. We have deliberately not included a contextualization
of the German situation in international discussions in order to keep the handout
as short as possible.'
author:
- first_name: Isabel
full_name: Steinhardt, Isabel
id: '90339'
last_name: Steinhardt
orcid: https://orcid.org/0000-0002-2590-6189
- first_name: Caroline
full_name: Fischer, Caroline
last_name: Fischer
- first_name: Maximilian
full_name: Heimstädt, Maximilian
last_name: Heimstädt
- first_name: Simon David
full_name: Hirsbrunner, Simon David
last_name: Hirsbrunner
- first_name: Dilek
full_name: Ikiz-Akinci, Dilek
last_name: Ikiz-Akinci
- first_name: Lisa
full_name: Kressin, Lisa
last_name: Kressin
- first_name: Susanne
full_name: Kretzer, Susanne
last_name: Kretzer
- first_name: Andreas
full_name: Möllenkamp, Andreas
last_name: Möllenkamp
- first_name: Maike
full_name: Portzelt, Maike
last_name: Portzelt
- first_name: Rima-Maria
full_name: Rahal, Rima-Maria
last_name: Rahal
- first_name: Sonja
full_name: Schimmler, Sonja
last_name: Schimmler
- first_name: René
full_name: Wilke, René
last_name: Wilke
- first_name: Hannes
full_name: Wünsche, Hannes
last_name: Wünsche
citation:
ama: 'Steinhardt I, Fischer C, Heimstädt M, et al. Opening up and Sharing Data
from Qualitative Research: A Primer. Vol 17. Weizenbaum Institute for the
Networked Society - The German Internet Institu; 2021. doi:10.34669/WI.WS/17'
apa: 'Steinhardt, I., Fischer, C., Heimstädt, M., Hirsbrunner, S. D., Ikiz-Akinci,
D., Kressin, L., Kretzer, S., Möllenkamp, A., Portzelt, M., Rahal, R.-M., Schimmler,
S., Wilke, R., & Wünsche, H. (2021). Opening up and Sharing Data from Qualitative
Research: A Primer (Vol. 17). Weizenbaum Institute for the Networked Society
- The German Internet Institu. https://doi.org/10.34669/WI.WS/17'
bibtex: '@book{Steinhardt_Fischer_Heimstädt_Hirsbrunner_Ikiz-Akinci_Kressin_Kretzer_Möllenkamp_Portzelt_Rahal_et
al._2021, place={Berlin}, series={Weizenbaum Series}, title={Opening up and Sharing
Data from Qualitative Research: A Primer}, volume={17}, DOI={10.34669/WI.WS/17},
publisher={Weizenbaum Institute for the Networked Society - The German Internet
Institu}, author={Steinhardt, Isabel and Fischer, Caroline and Heimstädt, Maximilian
and Hirsbrunner, Simon David and Ikiz-Akinci, Dilek and Kressin, Lisa and Kretzer,
Susanne and Möllenkamp, Andreas and Portzelt, Maike and Rahal, Rima-Maria and
et al.}, year={2021}, collection={Weizenbaum Series} }'
chicago: 'Steinhardt, Isabel, Caroline Fischer, Maximilian Heimstädt, Simon David
Hirsbrunner, Dilek Ikiz-Akinci, Lisa Kressin, Susanne Kretzer, et al. Opening
up and Sharing Data from Qualitative Research: A Primer. Vol. 17. Weizenbaum
Series. Berlin: Weizenbaum Institute for the Networked Society - The German Internet
Institu, 2021. https://doi.org/10.34669/WI.WS/17.'
ieee: 'I. Steinhardt et al., Opening up and Sharing Data from Qualitative
Research: A Primer, vol. 17. Berlin: Weizenbaum Institute for the Networked
Society - The German Internet Institu, 2021.'
mla: 'Steinhardt, Isabel, et al. Opening up and Sharing Data from Qualitative
Research: A Primer. Weizenbaum Institute for the Networked Society - The German
Internet Institu, 2021, doi:10.34669/WI.WS/17.'
short: 'I. Steinhardt, C. Fischer, M. Heimstädt, S.D. Hirsbrunner, D. Ikiz-Akinci,
L. Kressin, S. Kretzer, A. Möllenkamp, M. Portzelt, R.-M. Rahal, S. Schimmler,
R. Wilke, H. Wünsche, Opening up and Sharing Data from Qualitative Research: A
Primer, Weizenbaum Institute for the Networked Society - The German Internet Institu,
Berlin, 2021.'
date_created: 2023-01-13T09:31:42Z
date_updated: 2023-01-13T09:38:10Z
ddc:
- '300'
department:
- _id: '121'
doi: 10.34669/WI.WS/17
file:
- access_level: closed
content_type: application/pdf
creator: isste
date_created: 2023-01-13T09:37:18Z
date_updated: 2023-01-13T09:37:18Z
file_id: '36553'
file_name: 2021 Steinhardt et al. Opening up and Sharing Data.pdf
file_size: 665891
relation: main_file
success: 1
file_date_updated: 2023-01-13T09:37:18Z
has_accepted_license: '1'
intvolume: ' 17'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ssoar.info/ssoar/bitstream/handle/document/74039/ssoar-2021-steinhardt_et_al-Opening_up_and_Sharing_Data.pdf?sequence=4
oa: '1'
page: '20'
place: Berlin
publisher: Weizenbaum Institute for the Networked Society - The German Internet Institu
series_title: Weizenbaum Series
status: public
title: 'Opening up and Sharing Data from Qualitative Research: A Primer'
type: working_paper
user_id: '90339'
volume: 17
year: '2021'
...
---
_id: '36557'
abstract:
- lang: ger
text: Anhand einer explorativen Studie in den Fächern Jura und Soziale Arbeit wird
rekonstruiert welche Praktiken Studierende in Bezug auf digitale Technologien
haben und ob digitale Praktiken im Studium existieren. Dazu wurden narrative Interviews
mit sechs Studierenden geführt, die habitushermeneutisch ausgewertet wurden. Die
Ergebnisse zeigen keine digitalen Praktiken in Bezug auf das Studium, wohingegen
sich digitale Praktiken im alltäglichen Leben zeigen. Für das Studium zeigen sich
unterschiedliche Praktiken in der Nutzung digitaler Technologien, die in Beziehung
zu den Kapitalsorten stehen, die Studierende besitzen. Die explorativen Ergebnisse
legen nahe, dass Studierende unterschiedliche Hilfestellungen in Bezug auf die
Digitalisierung des Studiums benötigen, die in der Lehrplanung und -pädagogik
berücksichtigt werden müssten.
author:
- first_name: Isabel
full_name: Steinhardt, Isabel
id: '90339'
last_name: Steinhardt
orcid: https://orcid.org/0000-0002-2590-6189
citation:
ama: 'Steinhardt I. Digitale Praktiken und das Studium. In: Bremer H, Lange-Vester
A, eds. Entwicklungen im Feld der Hochschule. Bildungssoziologische Beiträge.
; 2021:213-226.'
apa: Steinhardt, I. (2021). Digitale Praktiken und das Studium. In H. Bremer &
A. Lange-Vester (Eds.), Entwicklungen im Feld der Hochschule (pp. 213–226).
bibtex: '@inbook{Steinhardt_2021, series={Bildungssoziologische Beiträge}, title={Digitale
Praktiken und das Studium}, booktitle={Entwicklungen im Feld der Hochschule},
author={Steinhardt, Isabel}, editor={Bremer, Helmut and Lange-Vester, Andrea},
year={2021}, pages={213–226}, collection={Bildungssoziologische Beiträge} }'
chicago: Steinhardt, Isabel. “Digitale Praktiken und das Studium.” In Entwicklungen
im Feld der Hochschule, edited by Helmut Bremer and Andrea Lange-Vester, 213–26.
Bildungssoziologische Beiträge, 2021.
ieee: I. Steinhardt, “Digitale Praktiken und das Studium,” in Entwicklungen im
Feld der Hochschule, H. Bremer and A. Lange-Vester, Eds. 2021, pp. 213–226.
mla: Steinhardt, Isabel. “Digitale Praktiken und das Studium.” Entwicklungen
im Feld der Hochschule, edited by Helmut Bremer and Andrea Lange-Vester, 2021,
pp. 213–26.
short: 'I. Steinhardt, in: H. Bremer, A. Lange-Vester (Eds.), Entwicklungen im Feld
der Hochschule, 2021, pp. 213–226.'
date_created: 2023-01-13T09:55:39Z
date_updated: 2023-01-13T09:55:44Z
ddc:
- '300'
editor:
- first_name: Helmut
full_name: Bremer, Helmut
last_name: Bremer
- first_name: Andrea
full_name: Lange-Vester, Andrea
last_name: Lange-Vester
file:
- access_level: closed
content_type: application/pdf
creator: isste
date_created: 2023-01-13T09:54:10Z
date_updated: 2023-01-13T09:54:10Z
file_id: '36559'
file_name: 2021 Steinhardt digitale Praktiken.pdf
file_size: 15933612
relation: main_file
success: 1
file_date_updated: 2023-01-13T09:54:10Z
has_accepted_license: '1'
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://www.beltz.de/fachmedien/erziehungswissenschaft/produkte/details/46022-entwicklungen-im-feld-der-hochschule.html
oa: '1'
page: 213-226
publication: Entwicklungen im Feld der Hochschule
publication_identifier:
isbn:
- 978-3-7799-5861-1
publication_status: published
series_title: Bildungssoziologische Beiträge
status: public
title: Digitale Praktiken und das Studium
type: book_chapter
user_id: '90339'
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'
...