---
_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: '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: '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'
...
---
_id: '31578'
author:
- first_name: Uta
full_name: Häsel-Weide, Uta
id: '60267'
last_name: Häsel-Weide
- first_name: Simone
full_name: Seitz, Simone
last_name: Seitz
- first_name: Melina
full_name: Wallner, Melina
id: '45445'
last_name: Wallner
- first_name: Yannik
full_name: Wilke, Yannik
last_name: Wilke
- first_name: Lara
full_name: Heckmann, Lara
last_name: Heckmann
citation:
ama: Häsel-Weide U, Seitz S, Wallner M, Wilke Y, Heckmann L. Mit Aufgaben im inklusiven
Mathematikunterricht professionell umgehen - Erkenntnisse einer Interviewstudie
mit Lehrpersonen der Sekundarstufe. QfI - Qualifizierung für Inklusion Online-Zeitschrift
zur Forschung über Aus-, Fort- und Weiterbildung pädagogischer Fachkräfte.
2021;3(1). doi:10.21248/qfi.57
apa: Häsel-Weide, U., Seitz, S., Wallner, M., Wilke, Y., & Heckmann, L. (2021).
Mit Aufgaben im inklusiven Mathematikunterricht professionell umgehen - Erkenntnisse
einer Interviewstudie mit Lehrpersonen der Sekundarstufe. QfI - Qualifizierung
für Inklusion. Online-Zeitschrift zur Forschung über Aus-, Fort- und Weiterbildung
pädagogischer Fachkräfte, 3(1). https://doi.org/10.21248/qfi.57
bibtex: '@article{Häsel-Weide_Seitz_Wallner_Wilke_Heckmann_2021, title={Mit Aufgaben
im inklusiven Mathematikunterricht professionell umgehen - Erkenntnisse einer
Interviewstudie mit Lehrpersonen der Sekundarstufe}, volume={3}, DOI={10.21248/qfi.57},
number={1}, journal={QfI - Qualifizierung für Inklusion. Online-Zeitschrift zur
Forschung über Aus-, Fort- und Weiterbildung pädagogischer Fachkräfte}, author={Häsel-Weide,
Uta and Seitz, Simone and Wallner, Melina and Wilke, Yannik and Heckmann, Lara},
year={2021} }'
chicago: Häsel-Weide, Uta, Simone Seitz, Melina Wallner, Yannik Wilke, and Lara
Heckmann. “Mit Aufgaben im inklusiven Mathematikunterricht professionell umgehen
- Erkenntnisse einer Interviewstudie mit Lehrpersonen der Sekundarstufe.” QfI
- Qualifizierung für Inklusion. Online-Zeitschrift zur Forschung über Aus-, Fort-
und Weiterbildung pädagogischer Fachkräfte 3, no. 1 (2021). https://doi.org/10.21248/qfi.57.
ieee: 'U. Häsel-Weide, S. Seitz, M. Wallner, Y. Wilke, and L. Heckmann, “Mit Aufgaben
im inklusiven Mathematikunterricht professionell umgehen - Erkenntnisse einer
Interviewstudie mit Lehrpersonen der Sekundarstufe,” QfI - Qualifizierung für
Inklusion. Online-Zeitschrift zur Forschung über Aus-, Fort- und Weiterbildung
pädagogischer Fachkräfte, vol. 3, no. 1, 2021, doi: 10.21248/qfi.57.'
mla: Häsel-Weide, Uta, et al. “Mit Aufgaben im inklusiven Mathematikunterricht professionell
umgehen - Erkenntnisse einer Interviewstudie mit Lehrpersonen der Sekundarstufe.”
QfI - Qualifizierung für Inklusion. Online-Zeitschrift zur Forschung über Aus-,
Fort- und Weiterbildung pädagogischer Fachkräfte, vol. 3, no. 1, 2021, doi:10.21248/qfi.57.
short: U. Häsel-Weide, S. Seitz, M. Wallner, Y. Wilke, L. Heckmann, QfI - Qualifizierung
für Inklusion. Online-Zeitschrift zur Forschung über Aus-, Fort- und Weiterbildung
pädagogischer Fachkräfte 3 (2021).
date_created: 2022-06-02T09:04:53Z
date_updated: 2023-11-24T16:50:54Z
department:
- _id: '98'
- _id: '543'
doi: 10.21248/qfi.57
intvolume: ' 3'
issue: '1'
language:
- iso: ger
publication: QfI - Qualifizierung für Inklusion. Online-Zeitschrift zur Forschung
über Aus-, Fort- und Weiterbildung pädagogischer Fachkräfte
publication_status: published
status: public
title: Mit Aufgaben im inklusiven Mathematikunterricht professionell umgehen - Erkenntnisse
einer Interviewstudie mit Lehrpersonen der Sekundarstufe
type: journal_article
user_id: '45445'
volume: 3
year: '2021'
...
---
_id: '31583'
author:
- first_name: Mathias
full_name: Hattermann, Mathias
last_name: Hattermann
- first_name: Uta
full_name: Häsel-Weide, Uta
id: '60267'
last_name: Häsel-Weide
- first_name: Melina
full_name: Wallner, Melina
id: '45445'
last_name: Wallner
citation:
ama: 'Hattermann M, Häsel-Weide U, Wallner M. Conceptualiziation processes of 6th
graders for rotational symmetry. In: Inprasitha M, Changsri N, Boonsena N, eds.
Proceedings of the 44th Conference of the International Group for the Psychology
of Mathematics Education . Vol 3. ; 2021:9-15.'
apa: Hattermann, M., Häsel-Weide, U., & Wallner, M. (2021). Conceptualiziation
processes of 6th graders for rotational symmetry. In M. Inprasitha, N. Changsri,
& N. Boonsena (Eds.), Proceedings of the 44th Conference of the International
Group for the Psychology of Mathematics Education (Vol. 3, pp. 9–15).
bibtex: '@inproceedings{Hattermann_Häsel-Weide_Wallner_2021, title={Conceptualiziation
processes of 6th graders for rotational symmetry}, volume={3}, booktitle={Proceedings
of the 44th Conference of the International Group for the Psychology of Mathematics
Education }, author={Hattermann, Mathias and Häsel-Weide, Uta and Wallner, Melina},
editor={Inprasitha, M. and Changsri, N. and Boonsena, N.}, year={2021}, pages={9–15}
}'
chicago: Hattermann, Mathias, Uta Häsel-Weide, and Melina Wallner. “Conceptualiziation
Processes of 6th Graders for Rotational Symmetry.” In Proceedings of the 44th
Conference of the International Group for the Psychology of Mathematics Education
, edited by M. Inprasitha, N. Changsri, and N. Boonsena, 3:9–15, 2021.
ieee: M. Hattermann, U. Häsel-Weide, and M. Wallner, “Conceptualiziation processes
of 6th graders for rotational symmetry,” in Proceedings of the 44th Conference
of the International Group for the Psychology of Mathematics Education , 2021,
vol. 3, pp. 9–15.
mla: Hattermann, Mathias, et al. “Conceptualiziation Processes of 6th Graders for
Rotational Symmetry.” Proceedings of the 44th Conference of the International
Group for the Psychology of Mathematics Education , edited by M. Inprasitha
et al., vol. 3, 2021, pp. 9–15.
short: 'M. Hattermann, U. Häsel-Weide, M. Wallner, in: M. Inprasitha, N. Changsri,
N. Boonsena (Eds.), Proceedings of the 44th Conference of the International Group
for the Psychology of Mathematics Education , 2021, pp. 9–15.'
date_created: 2022-06-02T09:45:14Z
date_updated: 2023-11-24T16:59:03Z
department:
- _id: '98'
- _id: '543'
editor:
- first_name: M.
full_name: Inprasitha, M.
last_name: Inprasitha
- first_name: N.
full_name: Changsri, N.
last_name: Changsri
- first_name: N.
full_name: Boonsena, N.
last_name: Boonsena
intvolume: ' 3'
language:
- iso: eng
page: 9-15
publication: 'Proceedings of the 44th Conference of the International Group for the
Psychology of Mathematics Education '
publication_status: published
related_material:
link:
- relation: confirmation
url: https://www.igpme.org/publications/current-proceedings/
status: public
title: Conceptualiziation processes of 6th graders for rotational symmetry
type: conference
user_id: '45445'
volume: 3
year: '2021'
...
---
_id: '22894'
abstract:
- lang: eng
text: "The first order optimality conditions of optimal control problems (OCPs)
can\r\nbe regarded as boundary value problems for Hamiltonian systems. Variational
or\r\nsymplectic discretisation methods are classically known for their excellent\r\nlong
term behaviour. As boundary value problems are posed on intervals of\r\nfixed,
moderate length, it is not immediately clear whether methods can profit\r\nfrom
structure preservation in this context. When parameters are present,\r\nsolutions
can undergo bifurcations, for instance, two solutions can merge and\r\nannihilate
one another as parameters are varied. We will show that generic\r\nbifurcations
of an OCP are preserved under discretisation when the OCP is\r\neither directly
discretised to a discrete OCP (direct method) or translated\r\ninto a Hamiltonian
boundary value problem using first order necessary\r\nconditions of optimality
which is then solved using a symplectic integrator\r\n(indirect method). Moreover,
certain bifurcations break when a non-symplectic\r\nscheme is used. The general
phenomenon is illustrated on the example of a cut\r\nlocus of an ellipsoid."
author:
- first_name: Christian
full_name: Offen, Christian
id: '85279'
last_name: Offen
orcid: 0000-0002-5940-8057
- first_name: Sina
full_name: Ober-Blöbaum, Sina
id: '16494'
last_name: Ober-Blöbaum
citation:
ama: Offen C, Ober-Blöbaum S. Bifurcation preserving discretisations of optimal
control problems. 2021;54(19):334-339. doi:https://doi.org/10.1016/j.ifacol.2021.11.099
apa: 'Offen, C., & Ober-Blöbaum, S. (2021). Bifurcation preserving discretisations
of optimal control problems: Vol. 54(19) (pp. 334–339). https://doi.org/10.1016/j.ifacol.2021.11.099'
bibtex: '@article{Offen_Ober-Blöbaum_2021, series={IFAC-PapersOnLine}, title={Bifurcation
preserving discretisations of optimal control problems}, volume={54(19)}, DOI={https://doi.org/10.1016/j.ifacol.2021.11.099},
author={Offen, Christian and Ober-Blöbaum, Sina}, year={2021}, pages={334–339},
collection={IFAC-PapersOnLine} }'
chicago: Offen, Christian, and Sina Ober-Blöbaum. “Bifurcation Preserving Discretisations
of Optimal Control Problems.” IFAC-PapersOnLine, 2021. https://doi.org/10.1016/j.ifacol.2021.11.099.
ieee: 'C. Offen and S. Ober-Blöbaum, “Bifurcation preserving discretisations of
optimal control problems,” vol. 54(19). pp. 334–339, 2021, doi: https://doi.org/10.1016/j.ifacol.2021.11.099.'
mla: Offen, Christian, and Sina Ober-Blöbaum. Bifurcation Preserving Discretisations
of Optimal Control Problems. 2021, pp. 334–39, doi:https://doi.org/10.1016/j.ifacol.2021.11.099.
short: C. Offen, S. Ober-Blöbaum, 54(19) (2021) 334–339.
conference:
end_date: 2021-10-13
location: Berlin, Germany
name: 7th IFAC Workshop on Lagrangian and Hamiltonian Methods for Nonlinear Control,
LHMNC 2021
start_date: 2021-10-11
date_created: 2021-07-29T09:38:32Z
date_updated: 2023-11-29T10:19:41Z
ddc:
- '510'
department:
- _id: '636'
doi: https://doi.org/10.1016/j.ifacol.2021.11.099
external_id:
arxiv:
- '2107.13853'
file:
- access_level: open_access
content_type: application/pdf
creator: coffen
date_created: 2021-07-29T09:37:49Z
date_updated: 2021-07-29T09:37:49Z
file_id: '22895'
file_name: ifacconf.pdf
file_size: 3125220
relation: main_file
file_date_updated: 2021-07-29T09:37:49Z
has_accepted_license: '1'
keyword:
- optimal control
- catastrophe theory
- bifurcations
- variational methods
- symplectic integrators
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.sciencedirect.com/science/article/pii/S2405896321021236
oa: '1'
page: 334-339
publication_identifier:
issn:
- 2405-8963
publication_status: published
quality_controlled: '1'
related_material:
link:
- description: GitHub/Zenodo
relation: software
url: https://doi.org/10.5281/zenodo.4562664
series_title: IFAC-PapersOnLine
status: public
title: Bifurcation preserving discretisations of optimal control problems
type: conference
user_id: '15694'
volume: 54(19)
year: '2021'
...
---
_id: '21572'
author:
- first_name: Steffen
full_name: Ridderbusch, Steffen
last_name: Ridderbusch
- first_name: Christian
full_name: Offen, Christian
id: '85279'
last_name: Offen
orcid: 0000-0002-5940-8057
- first_name: Sina
full_name: Ober-Blöbaum, Sina
id: '16494'
last_name: Ober-Blöbaum
- first_name: Paul
full_name: Goulart, Paul
last_name: Goulart
citation:
ama: 'Ridderbusch S, Offen C, Ober-Blöbaum S, Goulart P. Learning ODE Models with
Qualitative Structure Using Gaussian Processes . In: 2021 60th IEEE Conference
on Decision and Control (CDC). IEEE; 2021:2896. doi:10.1109/CDC45484.2021.9683426'
apa: Ridderbusch, S., Offen, C., Ober-Blöbaum, S., & Goulart, P. (2021). Learning
ODE Models with Qualitative Structure Using Gaussian Processes . 2021 60th
IEEE Conference on Decision and Control (CDC), 2896. https://doi.org/10.1109/CDC45484.2021.9683426
bibtex: '@inproceedings{Ridderbusch_Offen_Ober-Blöbaum_Goulart_2021, title={Learning
ODE Models with Qualitative Structure Using Gaussian Processes }, DOI={10.1109/CDC45484.2021.9683426},
booktitle={2021 60th IEEE Conference on Decision and Control (CDC)}, publisher={IEEE},
author={Ridderbusch, Steffen and Offen, Christian and Ober-Blöbaum, Sina and Goulart,
Paul}, year={2021}, pages={2896} }'
chicago: Ridderbusch, Steffen, Christian Offen, Sina Ober-Blöbaum, and Paul Goulart.
“Learning ODE Models with Qualitative Structure Using Gaussian Processes .” In
2021 60th IEEE Conference on Decision and Control (CDC), 2896. IEEE, 2021.
https://doi.org/10.1109/CDC45484.2021.9683426.
ieee: 'S. Ridderbusch, C. Offen, S. Ober-Blöbaum, and P. Goulart, “Learning ODE
Models with Qualitative Structure Using Gaussian Processes ,” in 2021 60th
IEEE Conference on Decision and Control (CDC), Austin, TX, USA, 2021, p. 2896,
doi: 10.1109/CDC45484.2021.9683426.'
mla: Ridderbusch, Steffen, et al. “Learning ODE Models with Qualitative Structure
Using Gaussian Processes .” 2021 60th IEEE Conference on Decision and Control
(CDC), IEEE, 2021, p. 2896, doi:10.1109/CDC45484.2021.9683426.
short: 'S. Ridderbusch, C. Offen, S. Ober-Blöbaum, P. Goulart, in: 2021 60th IEEE
Conference on Decision and Control (CDC), IEEE, 2021, p. 2896.'
conference:
end_date: 2021-12-17
location: Austin, TX, USA
name: 60th IEEE Conference on Decision and Control (CDC)
start_date: 2021-12-14
date_created: 2021-03-30T10:27:44Z
date_updated: 2023-11-29T10:24:55Z
department:
- _id: '636'
doi: 10.1109/CDC45484.2021.9683426
external_id:
arxiv:
- '2011.05364'
language:
- iso: eng
page: '2896'
publication: 2021 60th IEEE Conference on Decision and Control (CDC)
publication_identifier:
eisbn:
- 978-1-6654-3659-5
publication_status: published
publisher: IEEE
related_material:
link:
- description: GitHub
relation: software
url: https://github.com/Crown421/StructureGPs-paper
status: public
title: 'Learning ODE Models with Qualitative Structure Using Gaussian Processes '
type: conference
user_id: '15694'
year: '2021'
...
---
_id: '21592'
abstract:
- lang: eng
text: We propose a reachability approach for infinite and finite horizon multi-objective
optimization problems for low-thrust spacecraft trajectory design. The main advantage
of the proposed method is that the Pareto front can be efficiently constructed
from the zero level set of the solution to a Hamilton-Jacobi-Bellman equation.
We demonstrate the proposed method by applying it to a low-thrust spacecraft trajectory
design problem. By deriving the analytic expression for the Hamiltonian and the
optimal control policy, we are able to efficiently compute the backward reachable
set and reconstruct the optimal trajectories. Furthermore, we show that any reconstructed
trajectory will be guaranteed to be weakly Pareto optimal. The proposed method
can be used as a benchmark for future research of applying reachability analysis
to low-thrust spacecraft trajectory design.
author:
- first_name: Nikolaus
full_name: Vertovec, Nikolaus
id: '87056'
last_name: Vertovec
- first_name: Sina
full_name: Ober-Blöbaum, Sina
id: '16494'
last_name: Ober-Blöbaum
- first_name: Kostas
full_name: Margellos, Kostas
last_name: Margellos
citation:
ama: 'Vertovec N, Ober-Blöbaum S, Margellos K. Multi-objective minimum time optimal
control for low-thrust trajectory design. In: ; :1975-1980.'
apa: Vertovec, N., Ober-Blöbaum, S., & Margellos, K. (n.d.). Multi-objective
minimum time optimal control for low-thrust trajectory design. 1975–1980.
bibtex: '@inproceedings{Vertovec_Ober-Blöbaum_Margellos, title={Multi-objective
minimum time optimal control for low-thrust trajectory design}, author={Vertovec,
Nikolaus and Ober-Blöbaum, Sina and Margellos, Kostas}, pages={1975–1980} }'
chicago: Vertovec, Nikolaus, Sina Ober-Blöbaum, and Kostas Margellos. “Multi-Objective
Minimum Time Optimal Control for Low-Thrust Trajectory Design,” 1975–80, n.d.
ieee: N. Vertovec, S. Ober-Blöbaum, and K. Margellos, “Multi-objective minimum time
optimal control for low-thrust trajectory design,” Rotterdam, the Netherlands,
pp. 1975–1980.
mla: Vertovec, Nikolaus, et al. Multi-Objective Minimum Time Optimal Control
for Low-Thrust Trajectory Design. pp. 1975–80.
short: 'N. Vertovec, S. Ober-Blöbaum, K. Margellos, in: n.d., pp. 1975–1980.'
conference:
end_date: 2021-07-02
location: Rotterdam, the Netherlands
name: 2021 European Control Conference (ECC)
start_date: 2021-06-29
date_created: 2021-04-03T03:00:35Z
date_updated: 2023-11-29T10:26:49Z
department:
- _id: '636'
external_id:
arxiv:
- '2103.08813'
language:
- iso: eng
page: 1975-1980
publication_status: accepted
status: public
title: Multi-objective minimum time optimal control for low-thrust trajectory design
type: conference
user_id: '15694'
year: '2021'
...
---
_id: '29868'
author:
- first_name: F.
full_name: Jiménez, F.
last_name: Jiménez
- first_name: Sina
full_name: Ober-Blöbaum, Sina
id: '16494'
last_name: Ober-Blöbaum
citation:
ama: 'Jiménez F, Ober-Blöbaum S. Fractional Damping Through Restricted Calculus
of Variations. In: Nichtlineare Sci 31. Vol 46. J Nonlinear Sci . ; 2021.'
apa: Jiménez, F., & Ober-Blöbaum, S. (2021). Fractional Damping Through Restricted
Calculus of Variations. Nichtlineare Sci 31, 46.
bibtex: '@inproceedings{Jiménez_Ober-Blöbaum_2021, series={J Nonlinear Sci }, title={Fractional
Damping Through Restricted Calculus of Variations}, volume={46}, booktitle={Nichtlineare
Sci 31}, author={Jiménez, F. and Ober-Blöbaum, Sina}, year={2021}, collection={J
Nonlinear Sci } }'
chicago: Jiménez, F., and Sina Ober-Blöbaum. “Fractional Damping Through Restricted
Calculus of Variations.” In Nichtlineare Sci 31, Vol. 46. J Nonlinear Sci
, 2021.
ieee: F. Jiménez and S. Ober-Blöbaum, “Fractional Damping Through Restricted Calculus
of Variations,” in Nichtlineare Sci 31, 2021, vol. 46.
mla: Jiménez, F., and Sina Ober-Blöbaum. “Fractional Damping Through Restricted
Calculus of Variations.” Nichtlineare Sci 31, vol. 46, 2021.
short: 'F. Jiménez, S. Ober-Blöbaum, in: Nichtlineare Sci 31, 2021.'
date_created: 2022-02-17T07:28:47Z
date_updated: 2023-11-29T10:23:46Z
department:
- _id: '636'
intvolume: ' 46'
language:
- iso: eng
publication: Nichtlineare Sci 31
series_title: 'J Nonlinear Sci '
status: public
title: Fractional Damping Through Restricted Calculus of Variations
type: conference
user_id: '15694'
volume: 46
year: '2021'
...
---
_id: '21272'
author:
- first_name: Patrick
full_name: Ködding, Patrick
id: '45402'
last_name: Ködding
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Ködding P, Dumitrescu R. Forschungsfelder für Künstliche Intelligenz in der
strategischen Produktplanung. In: Hartmann EA, ed. Digitalisisierung souverän
gestalten. Springer Vieweg; 2021:59-73.'
apa: Ködding, P., & Dumitrescu, R. (2021). Forschungsfelder für Künstliche Intelligenz
in der strategischen Produktplanung. In E. A. Hartmann (Ed.), Digitalisisierung
souverän gestalten (pp. 59–73). Springer Vieweg.
bibtex: '@inproceedings{Ködding_Dumitrescu_2021, place={Berlin, Heidelberg}, title={Forschungsfelder
für Künstliche Intelligenz in der strategischen Produktplanung}, booktitle={Digitalisisierung
souverän gestalten}, publisher={Springer Vieweg}, author={Ködding, Patrick and
Dumitrescu, Roman}, editor={Hartmann, Ernst A.}, year={2021}, pages={59–73} }'
chicago: 'Ködding, Patrick, and Roman Dumitrescu. “Forschungsfelder für Künstliche
Intelligenz in der strategischen Produktplanung.” In Digitalisisierung souverän
gestalten, edited by Ernst A. Hartmann, 59–73. Berlin, Heidelberg: Springer
Vieweg, 2021.'
ieee: P. Ködding and R. Dumitrescu, “Forschungsfelder für Künstliche Intelligenz
in der strategischen Produktplanung,” in Digitalisisierung souverän gestalten,
2021, pp. 59–73.
mla: Ködding, Patrick, and Roman Dumitrescu. “Forschungsfelder für Künstliche Intelligenz
in der strategischen Produktplanung.” Digitalisisierung souverän gestalten,
edited by Ernst A. Hartmann, Springer Vieweg, 2021, pp. 59–73.
short: 'P. Ködding, R. Dumitrescu, in: E.A. Hartmann (Ed.), Digitalisisierung souverän
gestalten, Springer Vieweg, Berlin, Heidelberg, 2021, pp. 59–73.'
date_created: 2021-02-24T13:07:33Z
date_updated: 2023-10-06T12:32:24Z
department:
- _id: '563'
editor:
- first_name: Ernst A.
full_name: Hartmann, Ernst A.
last_name: Hartmann
language:
- iso: ger
page: pp. 59-73
place: Berlin, Heidelberg
publication: Digitalisisierung souverän gestalten
publication_status: published
publisher: Springer Vieweg
status: public
title: Forschungsfelder für Künstliche Intelligenz in der strategischen Produktplanung
type: conference
user_id: '45402'
year: '2021'
...
---
_id: '48286'
author:
- first_name: Ivan
full_name: Habernal, Ivan
id: '101881'
last_name: Habernal
citation:
ama: 'Habernal I. When differential privacy meets NLP: The devil is in the detail.
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language
Processing. Association for Computational Linguistics; 2021. doi:10.18653/v1/2021.emnlp-main.114'
apa: 'Habernal, I. (2021). When differential privacy meets NLP: The devil is in
the detail. Proceedings of the 2021 Conference on Empirical Methods in Natural
Language Processing. https://doi.org/10.18653/v1/2021.emnlp-main.114'
bibtex: '@inproceedings{Habernal_2021, title={When differential privacy meets NLP:
The devil is in the detail}, DOI={10.18653/v1/2021.emnlp-main.114},
booktitle={Proceedings of the 2021 Conference on Empirical Methods in Natural
Language Processing}, publisher={Association for Computational Linguistics}, author={Habernal,
Ivan}, year={2021} }'
chicago: 'Habernal, Ivan. “When Differential Privacy Meets NLP: The Devil Is in
the Detail.” In Proceedings of the 2021 Conference on Empirical Methods in
Natural Language Processing. Association for Computational Linguistics, 2021.
https://doi.org/10.18653/v1/2021.emnlp-main.114.'
ieee: 'I. Habernal, “When differential privacy meets NLP: The devil is in the detail,”
2021, doi: 10.18653/v1/2021.emnlp-main.114.'
mla: 'Habernal, Ivan. “When Differential Privacy Meets NLP: The Devil Is in the
Detail.” Proceedings of the 2021 Conference on Empirical Methods in Natural
Language Processing, Association for Computational Linguistics, 2021, doi:10.18653/v1/2021.emnlp-main.114.'
short: 'I. Habernal, in: Proceedings of the 2021 Conference on Empirical Methods
in Natural Language Processing, Association for Computational Linguistics, 2021.'
date_created: 2023-10-19T08:21:43Z
date_updated: 2023-10-19T12:04:40Z
department:
- _id: '34'
- _id: '820'
doi: 10.18653/v1/2021.emnlp-main.114
language:
- iso: eng
publication: Proceedings of the 2021 Conference on Empirical Methods in Natural Language
Processing
publication_status: published
publisher: Association for Computational Linguistics
status: public
title: 'When differential privacy meets NLP: The devil is in the detail'
type: conference
user_id: '15504'
year: '2021'
...
---
_id: '29893'
abstract:
- lang: eng
text: Phase-shift modulated full bridge converters suffer from thermal imbalances
of the inverter switches. The lagging leg switches are subject to larger commutation
currents compared to those of the leading leg as the transformer current reduces
in the freewheeling interval. Furthermore, after this interval, the energy in
the series inductance may not be large enough to achieve zero-voltage switching
(ZVS) for the leading leg. Both effects result in thermal imbalances. This paper
analyzes the alternating-asymmetrical phase-shift modulation to achieve balanced
conduction and switching losses for all four switches while showing that this
modulation is easily implemented on standard DSPs. The modulation has been implemented
to LLC converters where experimental measurement results proved its effectiveness
for LLC converters by reducing the temperature deviation from 6.3 K to only 0.2
K such that the peak temperature is reduced from 95 °C to 92 °C. The paper also
proves that the modulation can be utilized to improve the efficiency of LLC converters
operated at very low gains while simultaneously reducing the junction temperature
of all four switches compared to the conventional complementary modulation. Finally,
EMI implications are analyzed, which show that the modulation may be beneficial
for reducing the common-mode emissions around the operating frequency.
author:
- first_name: Philipp
full_name: Rehlaender, Philipp
id: '69469'
last_name: Rehlaender
- first_name: Roland
full_name: Unruh, Roland
id: '34289'
last_name: Unruh
- first_name: Frank
full_name: Schafmeister, Frank
id: '71291'
last_name: Schafmeister
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: 'Rehlaender P, Unruh R, Schafmeister F, Böcker J. Alternating Asymmetrical
Phase-Shift Modulation for Full-Bridge Converters with Balanced Switching Losses
to Reduce Thermal Imbalances. In: 2021 IEEE Applied Power Electronics Conference
and Exposition (APEC). IEEE; 2021. doi:10.1109/apec42165.2021.9487104'
apa: Rehlaender, P., Unruh, R., Schafmeister, F., & Böcker, J. (2021). Alternating
Asymmetrical Phase-Shift Modulation for Full-Bridge Converters with Balanced Switching
Losses to Reduce Thermal Imbalances. 2021 IEEE Applied Power Electronics Conference
and Exposition (APEC). 2021 IEEE Applied Power Electronics Conference and
Exposition (APEC), Phoenix, AZ, USA. https://doi.org/10.1109/apec42165.2021.9487104
bibtex: '@inproceedings{Rehlaender_Unruh_Schafmeister_Böcker_2021, title={Alternating
Asymmetrical Phase-Shift Modulation for Full-Bridge Converters with Balanced Switching
Losses to Reduce Thermal Imbalances}, DOI={10.1109/apec42165.2021.9487104},
booktitle={2021 IEEE Applied Power Electronics Conference and Exposition (APEC)},
publisher={IEEE}, author={Rehlaender, Philipp and Unruh, Roland and Schafmeister,
Frank and Böcker, Joachim}, year={2021} }'
chicago: Rehlaender, Philipp, Roland Unruh, Frank Schafmeister, and Joachim Böcker.
“Alternating Asymmetrical Phase-Shift Modulation for Full-Bridge Converters with
Balanced Switching Losses to Reduce Thermal Imbalances.” In 2021 IEEE Applied
Power Electronics Conference and Exposition (APEC). IEEE, 2021. https://doi.org/10.1109/apec42165.2021.9487104.
ieee: 'P. Rehlaender, R. Unruh, F. Schafmeister, and J. Böcker, “Alternating Asymmetrical
Phase-Shift Modulation for Full-Bridge Converters with Balanced Switching Losses
to Reduce Thermal Imbalances,” presented at the 2021 IEEE Applied Power Electronics
Conference and Exposition (APEC), Phoenix, AZ, USA, 2021, doi: 10.1109/apec42165.2021.9487104.'
mla: Rehlaender, Philipp, et al. “Alternating Asymmetrical Phase-Shift Modulation
for Full-Bridge Converters with Balanced Switching Losses to Reduce Thermal Imbalances.”
2021 IEEE Applied Power Electronics Conference and Exposition (APEC), IEEE,
2021, doi:10.1109/apec42165.2021.9487104.
short: 'P. Rehlaender, R. Unruh, F. Schafmeister, J. Böcker, in: 2021 IEEE Applied
Power Electronics Conference and Exposition (APEC), IEEE, 2021.'
conference:
end_date: 2021-06-17
location: Phoenix, AZ, USA
name: 2021 IEEE Applied Power Electronics Conference and Exposition (APEC)
start_date: 2021-06-14
date_created: 2022-02-20T21:19:46Z
date_updated: 2023-10-20T11:50:25Z
department:
- _id: '34'
- _id: '52'
doi: 10.1109/apec42165.2021.9487104
keyword:
- Phase-Shifted Full Bridge
- Full-Bridge Converter
- Phase-Shift Control
- Phase-Shift Modulation
- LLC Converter
- Thermal Balancing
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/abstract/document/9487104
publication: 2021 IEEE Applied Power Electronics Conference and Exposition (APEC)
publication_identifier:
isbn:
- 978-1-7281-8950-5
publication_status: published
publisher: IEEE
status: public
title: Alternating Asymmetrical Phase-Shift Modulation for Full-Bridge Converters
with Balanced Switching Losses to Reduce Thermal Imbalances
type: conference
user_id: '34289'
year: '2021'
...
---
_id: '34827'
abstract:
- lang: eng
text: ZusammenfassungZu den ersten geometrischen
Begriffen, die Kinder bereits im Elementar- und Primarbereich lernen, zählen u. a.
Viereck, Rechteck und Quadrat. Studien zeigen, dass Lernende bereits früh individuelle
Vorstellungen, sog. individuelle Begriffskonzepte,
zu diesen Begriffen aufbauen. Zwar wird die Entwicklung von Begriffsverständnis
in verschiedenen mathematikdidaktischen Stufenmodellen dargestellt, diese sind
jedoch generisch und beschreiben nicht explizit die Entwicklung der ersten individuellen
Begriffskonzepte von Lernenden zu Viereck, Rechteck und Quadrat.
Aus empirischer Sicht liegen verschiedene Studien vor, die einzelne Aspekte der
individuellen Begriffskonzepte von Lernenden unterschiedlicher Altersgruppen zu
diesen Begriffen ausleuchten. Um Begriffsbildungsprozesse aus empirischer Sicht
detaillierter entlang der jeweils vorherrschenden individuellen Begriffskonzepte
zu beschreiben, fehlen insbesondere Studien in der Grundschule, die alle vier
Klassenstufen betrachten und dabei differenzierte Erkenntnisse zu verschiedenen
theoretischen Indikatoren des Begriffsverständnisses liefern. Daher geht die vorliegende
Studie der Frage nach, welches Verständnis der Begriffe Viereck, Rechteck und
Quadrat Schülerinnen und Schüler der Jahrgangsstufen 1, 2, 3 und 4 zeigen. Dazu
wurde eine Quasi-Längsschnittstudie mit N = 456 Grundschulkindern
(ca. 100 pro Jahrgangsstufe) durchgeführt. Die Ergebnisse geben detaillierte Einblicke
in die individuellen Begriffskonzepte der Lernenden und zeigen, dass Lernende
zunehmend Eigenschaften der Figuren berücksichtigen, jedoch individuelle Begriffskonzepte
über lange Zeit auch prototypisch geprägt sind. Implikationen dieser Ergebnisse
für Forschung und Praxis werden diskutiert.
author:
- first_name: Julia
full_name: Bruns, Julia
id: '72183'
last_name: Bruns
orcid: https://orcid.org/0000-0002-6604-5864
- first_name: Elisabeth
full_name: Unterhauser, Elisabeth
last_name: Unterhauser
- first_name: Hedwig
full_name: Gasteiger, Hedwig
last_name: Gasteiger
citation:
ama: Bruns J, Unterhauser E, Gasteiger H. Geometrisches Begriffsverständnis in der
Grundschule am Beispiel der Begriffe Viereck, Rechteck und Quadrat. Journal
für Mathematik-Didaktik. 2021;42(2):581-623. doi:10.1007/s13138-021-00185-4
apa: Bruns, J., Unterhauser, E., & Gasteiger, H. (2021). Geometrisches Begriffsverständnis
in der Grundschule am Beispiel der Begriffe Viereck, Rechteck und Quadrat. Journal
für Mathematik-Didaktik, 42(2), 581–623. https://doi.org/10.1007/s13138-021-00185-4
bibtex: '@article{Bruns_Unterhauser_Gasteiger_2021, title={Geometrisches Begriffsverständnis
in der Grundschule am Beispiel der Begriffe Viereck, Rechteck und Quadrat}, volume={42},
DOI={10.1007/s13138-021-00185-4},
number={2}, journal={Journal für Mathematik-Didaktik}, publisher={Springer Science
and Business Media LLC}, author={Bruns, Julia and Unterhauser, Elisabeth and Gasteiger,
Hedwig}, year={2021}, pages={581–623} }'
chicago: 'Bruns, Julia, Elisabeth Unterhauser, and Hedwig Gasteiger. “Geometrisches
Begriffsverständnis in der Grundschule am Beispiel der Begriffe Viereck, Rechteck
und Quadrat.” Journal für Mathematik-Didaktik 42, no. 2 (2021): 581–623.
https://doi.org/10.1007/s13138-021-00185-4.'
ieee: 'J. Bruns, E. Unterhauser, and H. Gasteiger, “Geometrisches Begriffsverständnis
in der Grundschule am Beispiel der Begriffe Viereck, Rechteck und Quadrat,” Journal
für Mathematik-Didaktik, vol. 42, no. 2, pp. 581–623, 2021, doi: 10.1007/s13138-021-00185-4.'
mla: Bruns, Julia, et al. “Geometrisches Begriffsverständnis in der Grundschule
am Beispiel der Begriffe Viereck, Rechteck und Quadrat.” Journal für Mathematik-Didaktik,
vol. 42, no. 2, Springer Science and Business Media LLC, 2021, pp. 581–623, doi:10.1007/s13138-021-00185-4.
short: J. Bruns, E. Unterhauser, H. Gasteiger, Journal für Mathematik-Didaktik 42
(2021) 581–623.
date_created: 2022-12-22T09:26:39Z
date_updated: 2023-10-23T11:14:59Z
department:
- _id: '97'
- _id: '611'
doi: 10.1007/s13138-021-00185-4
intvolume: ' 42'
issue: '2'
keyword:
- Education
- General Mathematics
language:
- iso: ger
page: 581-623
publication: Journal für Mathematik-Didaktik
publication_identifier:
issn:
- 0173-5322
- 1869-2699
publication_status: published
publisher: Springer Science and Business Media LLC
quality_controlled: '1'
status: public
title: Geometrisches Begriffsverständnis in der Grundschule am Beispiel der Begriffe
Viereck, Rechteck und Quadrat
type: journal_article
user_id: '72183'
volume: 42
year: '2021'
...
---
_id: '45382'
author:
- first_name: Susanne
full_name: Prediger, Susanne
last_name: Prediger
- first_name: Jennifer
full_name: Dröse, Jennifer
id: '85820'
last_name: Dröse
citation:
ama: Prediger S, Dröse J. Fehlerbearbeitung bei mathematischen Textaufgaben – Sprachliche
und strategische Fehlerursachen und ihre Bearbeitung. Lernen und Lernstörungen,
10(2). Published online 2021. doi:doi.org/10.1024/2235-0977/a000330
apa: Prediger, S., & Dröse, J. (2021). Fehlerbearbeitung bei mathematischen
Textaufgaben – Sprachliche und strategische Fehlerursachen und ihre Bearbeitung.
Lernen und Lernstörungen, 10(2). https://doi.org/doi.org/10.1024/2235-0977/a000330
bibtex: '@article{Prediger_Dröse_2021, title={Fehlerbearbeitung bei mathematischen
Textaufgaben – Sprachliche und strategische Fehlerursachen und ihre Bearbeitung},
DOI={doi.org/10.1024/2235-0977/a000330},
journal={Lernen und Lernstörungen, 10(2)}, author={Prediger, Susanne and Dröse,
Jennifer}, year={2021} }'
chicago: Prediger, Susanne, and Jennifer Dröse. “Fehlerbearbeitung bei mathematischen
Textaufgaben – Sprachliche und strategische Fehlerursachen und ihre Bearbeitung.”
Lernen und Lernstörungen, 10(2), 2021. https://doi.org/doi.org/10.1024/2235-0977/a000330.
ieee: 'S. Prediger and J. Dröse, “Fehlerbearbeitung bei mathematischen Textaufgaben
– Sprachliche und strategische Fehlerursachen und ihre Bearbeitung,” Lernen
und Lernstörungen, 10(2), 2021, doi: doi.org/10.1024/2235-0977/a000330.'
mla: Prediger, Susanne, and Jennifer Dröse. “Fehlerbearbeitung bei mathematischen
Textaufgaben – Sprachliche und strategische Fehlerursachen und ihre Bearbeitung.”
Lernen und Lernstörungen, 10(2), 2021, doi:doi.org/10.1024/2235-0977/a000330.
short: S. Prediger, J. Dröse, Lernen und Lernstörungen, 10(2) (2021).
date_created: 2023-05-31T07:14:10Z
date_updated: 2023-11-02T08:09:00Z
department:
- _id: '98'
doi: doi.org/10.1024/2235-0977/a000330
language:
- iso: ger
publication: Lernen und Lernstörungen, 10(2)
quality_controlled: '1'
status: public
title: Fehlerbearbeitung bei mathematischen Textaufgaben – Sprachliche und strategische
Fehlerursachen und ihre Bearbeitung
type: journal_article
user_id: '85820'
year: '2021'
...
---
_id: '26770'
abstract:
- lang: eng
text: "Automatic transcription of meetings requires handling of overlapped speech,
which calls for continuous speech separation (CSS) systems. The uPIT criterion
was proposed for utterance-level separation with neural networks and introduces
the constraint that the total number of speakers must not exceed the number of
output channels. When processing meeting-like data in a segment-wise manner, i.e.,
by separating overlapping segments independently and stitching adjacent segments
to continuous output streams, this constraint has to be fulfilled for any segment.
In this contribution, we show that this constraint can be significantly relaxed.
We propose a novel graph-based PIT criterion, which casts the assignment of utterances
to output channels in a graph coloring problem. It only requires that the number
of concurrently active speakers must not exceed the number of output channels.
As a consequence, the system can process an arbitrary number of speakers and arbitrarily
long segments and thus can handle more diverse scenarios.\r\nFurther, the stitching
algorithm for obtaining a consistent output order in neighboring segments is of
less importance and can even be eliminated completely, not the least reducing
the computational effort. Experiments on meeting-style WSJ data show improvements
in recognition performance over using the uPIT criterion. "
author:
- first_name: Thilo
full_name: von Neumann, Thilo
id: '49870'
last_name: von Neumann
orcid: https://orcid.org/0000-0002-7717-8670
- first_name: Keisuke
full_name: Kinoshita, Keisuke
last_name: Kinoshita
- first_name: Christoph
full_name: Boeddeker, Christoph
id: '40767'
last_name: Boeddeker
- first_name: Marc
full_name: Delcroix, Marc
last_name: Delcroix
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'von Neumann T, Kinoshita K, Boeddeker C, Delcroix M, Haeb-Umbach R. Graph-PIT:
Generalized Permutation Invariant Training for Continuous Separation of Arbitrary
Numbers of Speakers. In: Interspeech 2021. ; 2021. doi:10.21437/interspeech.2021-1177'
apa: 'von Neumann, T., Kinoshita, K., Boeddeker, C., Delcroix, M., & Haeb-Umbach,
R. (2021). Graph-PIT: Generalized Permutation Invariant Training for Continuous
Separation of Arbitrary Numbers of Speakers. Interspeech 2021. Interspeech.
https://doi.org/10.21437/interspeech.2021-1177'
bibtex: '@inproceedings{von Neumann_Kinoshita_Boeddeker_Delcroix_Haeb-Umbach_2021,
title={Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation
of Arbitrary Numbers of Speakers}, DOI={10.21437/interspeech.2021-1177},
booktitle={Interspeech 2021}, author={von Neumann, Thilo and Kinoshita, Keisuke
and Boeddeker, Christoph and Delcroix, Marc and Haeb-Umbach, Reinhold}, year={2021}
}'
chicago: 'Neumann, Thilo von, Keisuke Kinoshita, Christoph Boeddeker, Marc Delcroix,
and Reinhold Haeb-Umbach. “Graph-PIT: Generalized Permutation Invariant Training
for Continuous Separation of Arbitrary Numbers of Speakers.” In Interspeech
2021, 2021. https://doi.org/10.21437/interspeech.2021-1177.'
ieee: 'T. von Neumann, K. Kinoshita, C. Boeddeker, M. Delcroix, and R. Haeb-Umbach,
“Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation
of Arbitrary Numbers of Speakers,” presented at the Interspeech, 2021, doi: 10.21437/interspeech.2021-1177.'
mla: 'von Neumann, Thilo, et al. “Graph-PIT: Generalized Permutation Invariant Training
for Continuous Separation of Arbitrary Numbers of Speakers.” Interspeech 2021,
2021, doi:10.21437/interspeech.2021-1177.'
short: 'T. von Neumann, K. Kinoshita, C. Boeddeker, M. Delcroix, R. Haeb-Umbach,
in: Interspeech 2021, 2021.'
conference:
name: Interspeech
date_created: 2021-10-25T08:50:01Z
date_updated: 2023-11-15T12:14:40Z
ddc:
- '000'
department:
- _id: '54'
doi: 10.21437/interspeech.2021-1177
file:
- access_level: open_access
content_type: video/mp4
creator: tvn
date_created: 2021-12-06T10:39:13Z
date_updated: 2021-12-06T10:48:30Z
file_id: '28327'
file_name: Interspeech 2021 voiceover-002-compressed.mp4
file_size: 9550220
relation: supplementary_material
title: Video for INTERSPEECH 2021
- access_level: open_access
content_type: application/vnd.openxmlformats-officedocument.presentationml.presentation
creator: tvn
date_created: 2021-12-06T10:47:01Z
date_updated: 2021-12-06T10:47:01Z
file_id: '28328'
file_name: Graph-PIT-poster-presentation.pptx
file_size: 1337297
relation: slides
title: Slides from INTERSPEECH 2021
- access_level: open_access
content_type: application/pdf
creator: tvn
date_created: 2021-12-06T10:48:21Z
date_updated: 2021-12-06T10:48:21Z
file_id: '28329'
file_name: INTERSPEECH2021_Graph_PIT.pdf
file_size: 226589
relation: main_file
file_date_updated: 2021-12-06T10:48:30Z
has_accepted_license: '1'
keyword:
- Continuous speech separation
- automatic speech recognition
- overlapped speech
- permutation invariant training
language:
- iso: eng
oa: '1'
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: Interspeech 2021
publication_status: published
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/fgnt/graph_pit
status: public
title: 'Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation
of Arbitrary Numbers of Speakers'
type: conference
user_id: '49870'
year: '2021'
...