---
_id: '9824'
author:
- first_name: Manuel
  full_name: Peuster, Manuel
  id: '13271'
  last_name: Peuster
- first_name: Stefan Balthasar
  full_name: Schneider, Stefan Balthasar
  id: '35343'
  last_name: Schneider
  orcid: 0000-0001-8210-4011
- first_name: Mengxuan
  full_name: Zhao, Mengxuan
  last_name: Zhao
- first_name: George
  full_name: Xilouris, George
  last_name: Xilouris
- first_name: Panagiotis
  full_name: Trakadas, Panagiotis
  last_name: Trakadas
- first_name: Felipe
  full_name: Vicens, Felipe
  last_name: Vicens
- first_name: Wouter
  full_name: Tavernier, Wouter
  last_name: Tavernier
- first_name: Thomas
  full_name: Soenen, Thomas
  last_name: Soenen
- first_name: Ricard
  full_name: Vilalta, Ricard
  last_name: Vilalta
- first_name: George
  full_name: Andreou, George
  last_name: Andreou
- first_name: Dimosthenis
  full_name: Kyriazis, Dimosthenis
  last_name: Kyriazis
- first_name: Holger
  full_name: Karl, Holger
  id: '126'
  last_name: Karl
citation:
  ama: Peuster M, Schneider SB, Zhao M, et al. Introducing Automated Verification
    and Validation for Virtualized Network Functions and Services. <i>IEEE Communications
    Magazine</i>. 2019:96-102. doi:<a href="https://doi.org/10.1109/mcom.2019.1800873">10.1109/mcom.2019.1800873</a>
  apa: Peuster, M., Schneider, S. B., Zhao, M., Xilouris, G., Trakadas, P., Vicens,
    F., … Karl, H. (2019). Introducing Automated Verification and Validation for Virtualized
    Network Functions and Services. <i>IEEE Communications Magazine</i>, 96–102. <a
    href="https://doi.org/10.1109/mcom.2019.1800873">https://doi.org/10.1109/mcom.2019.1800873</a>
  bibtex: '@article{Peuster_Schneider_Zhao_Xilouris_Trakadas_Vicens_Tavernier_Soenen_Vilalta_Andreou_et
    al._2019, title={Introducing Automated Verification and Validation for Virtualized
    Network Functions and Services}, DOI={<a href="https://doi.org/10.1109/mcom.2019.1800873">10.1109/mcom.2019.1800873</a>},
    journal={IEEE Communications Magazine}, author={Peuster, Manuel and Schneider,
    Stefan Balthasar and Zhao, Mengxuan and Xilouris, George and Trakadas, Panagiotis
    and Vicens, Felipe and Tavernier, Wouter and Soenen, Thomas and Vilalta, Ricard
    and Andreou, George and et al.}, year={2019}, pages={96–102} }'
  chicago: Peuster, Manuel, Stefan Balthasar Schneider, Mengxuan Zhao, George Xilouris,
    Panagiotis Trakadas, Felipe Vicens, Wouter Tavernier, et al. “Introducing Automated
    Verification and Validation for Virtualized Network Functions and Services.” <i>IEEE
    Communications Magazine</i>, 2019, 96–102. <a href="https://doi.org/10.1109/mcom.2019.1800873">https://doi.org/10.1109/mcom.2019.1800873</a>.
  ieee: M. Peuster <i>et al.</i>, “Introducing Automated Verification and Validation
    for Virtualized Network Functions and Services,” <i>IEEE Communications Magazine</i>,
    pp. 96–102, 2019.
  mla: Peuster, Manuel, et al. “Introducing Automated Verification and Validation
    for Virtualized Network Functions and Services.” <i>IEEE Communications Magazine</i>,
    2019, pp. 96–102, doi:<a href="https://doi.org/10.1109/mcom.2019.1800873">10.1109/mcom.2019.1800873</a>.
  short: M. Peuster, S.B. Schneider, M. Zhao, G. Xilouris, P. Trakadas, F. Vicens,
    W. Tavernier, T. Soenen, R. Vilalta, G. Andreou, D. Kyriazis, H. Karl, IEEE Communications
    Magazine (2019) 96–102.
date_created: 2019-05-16T09:09:16Z
date_updated: 2022-01-06T07:04:23Z
ddc:
- '000'
department:
- _id: '75'
doi: 10.1109/mcom.2019.1800873
file:
- access_level: open_access
  content_type: application/pdf
  creator: peuster
  date_created: 2019-05-16T09:13:40Z
  date_updated: 2019-05-16T09:13:40Z
  description: |+
    Preprint of original article: M. Peuster et al., "Introducing Automated Verification and Validation for Virtualized Network Functions and Services," in IEEE Communications Magazine, vol. 57, no. 5, pp. 96-102, May 2019.
    doi: 10.1109/MCOM.2019.1800873

  file_id: '9825'
  file_name: main_for_ris.pdf
  file_size: 1735036
  relation: main_file
  title: Introducing Automated Verification and Validation for Virtualized Network
    Functions and Services
file_date_updated: 2019-05-16T09:13:40Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/document/8713807
oa: '1'
page: 96-102
project:
- _id: '1'
  name: SFB 901
- _id: '4'
  name: SFB 901 - Project Area C
- _id: '16'
  name: SFB 901 - Subproject C4
publication: IEEE Communications Magazine
publication_identifier:
  issn:
  - 0163-6804
  - 1558-1896
publication_status: published
status: public
title: Introducing Automated Verification and Validation for Virtualized Network Functions
  and Services
type: journal_article
user_id: '13271'
year: '2019'
...
...
---
_id: '6512'
abstract:
- lang: eng
  text: Scheduling problems are essential for decision making in many academic disciplines,
    including operations management, computer science, and information systems. Since
    many scheduling problems are NP-hard in the strong sense, there is only limited
    research on exact algorithms and how their efficiency scales when implemented
    on parallel computing architectures. We address this gap by (1) adapting an exact
    branch-and-price algorithm to a parallel machine scheduling problem on unrelated
    machines with sequence- and machine-dependent setup times, (2) parallelizing the
    adapted algorithm by implementing a distributed-memory parallelization with a
    master/worker approach, and (3) conducting extensive computational experiments
    using up to 960 MPI processes on a modern high performance computing cluster.
    With our experiments, we show that the efficiency of our parallelization approach
    can lead to superlinear speedup but can vary substantially between instances.
    We further show that the wall time of serial execution can be substantially reduced
    through our parallelization, in some cases from 94 hours to less than six minutes
    when our algorithm is executed on 960 processes.
author:
- first_name: Gerhard
  full_name: Rauchecker, Gerhard
  last_name: Rauchecker
- first_name: Guido
  full_name: Schryen, Guido
  id: '72850'
  last_name: Schryen
citation:
  ama: 'Rauchecker G, Schryen G. Using High Performance Computing for Unrelated Parallel
    Machine Scheduling with Sequence-Dependent Setup Times: Development and Computational
    Evaluation of a Parallel Branch-and-Price Algorithm. <i>Computers &#38; Operations
    Research</i>. 2019;(104):338-357.'
  apa: 'Rauchecker, G., &#38; Schryen, G. (2019). Using High Performance Computing
    for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times:
    Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm.
    <i>Computers &#38; Operations Research</i>, (104), 338–357.'
  bibtex: '@article{Rauchecker_Schryen_2019, title={Using High Performance Computing
    for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times:
    Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm},
    number={104}, journal={Computers &#38; Operations Research}, publisher={Elsevier},
    author={Rauchecker, Gerhard and Schryen, Guido}, year={2019}, pages={338–357}
    }'
  chicago: 'Rauchecker, Gerhard, and Guido Schryen. “Using High Performance Computing
    for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times:
    Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm.”
    <i>Computers &#38; Operations Research</i>, no. 104 (2019): 338–57.'
  ieee: 'G. Rauchecker and G. Schryen, “Using High Performance Computing for Unrelated
    Parallel Machine Scheduling with Sequence-Dependent Setup Times: Development and
    Computational Evaluation of a Parallel Branch-and-Price Algorithm,” <i>Computers
    &#38; Operations Research</i>, no. 104, pp. 338–357, 2019.'
  mla: 'Rauchecker, Gerhard, and Guido Schryen. “Using High Performance Computing
    for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times:
    Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm.”
    <i>Computers &#38; Operations Research</i>, no. 104, Elsevier, 2019, pp. 338–57.'
  short: G. Rauchecker, G. Schryen, Computers &#38; Operations Research (2019) 338–357.
date_created: 2019-01-08T13:50:44Z
date_updated: 2022-01-06T07:03:08Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
  content_type: application/pdf
  creator: hsiemes
  date_created: 2019-01-08T14:03:53Z
  date_updated: 2019-01-08T14:03:53Z
  file_id: '6513'
  file_name: cor-parallel-bp-for-upmsp.pdf
  file_size: 4153528
  relation: main_file
file_date_updated: 2019-01-08T14:03:53Z
has_accepted_license: '1'
issue: '104'
keyword:
- parallel machine scheduling with setup times
- parallel branch-and-price algorithm
- high performance computing
- master/worker parallelization
language:
- iso: eng
oa: '1'
page: 338-357
publication: Computers & Operations Research
publisher: Elsevier
status: public
title: 'Using High Performance Computing for Unrelated Parallel Machine Scheduling
  with Sequence-Dependent Setup Times: Development and Computational Evaluation of
  a Parallel Branch-and-Price Algorithm'
type: journal_article
user_id: '61579'
year: '2019'
...
---
_id: '6514'
abstract:
- lang: eng
  text: Recommender Agents (RAs) facilitate consumers’ online purchase decisions for
    complex, multi-attribute products. As not all combinations of attribute levels
    can be obtained, users are forced into trade-offs. The exposure of trade-offs
    in a RA has been found to affect consumers’ perceptions. However, little is known
    about how different preference elicitation methods in RAs affect consumers by
    varying degrees of trade-off exposure. We propose a research model that investigates
    how different levels of trade-off exposure cognitively and affectively influence
    consumers’ satisfaction with RAs. We operationalize these levels in three different
    RA types and test our hypotheses in a laboratory experiment with 116 participants.
    Our results indicate that with increasing tradeoff exposure, perceived enjoyment
    and perceived control follow an inverted Ushaped relationship. Hence, RAs using
    preference elicitation methods with medium trade-off exposure yield highest consumer
    satisfaction. This contributes to the understanding of trade-offs in RAs and provides
    valuable implications to e-commerce practitioners.
author:
- first_name: Veronika
  full_name: Schuhbeck, Veronika
  last_name: Schuhbeck
- first_name: Nils
  full_name: Siegfried, Nils
  last_name: Siegfried
- first_name: Verena
  full_name: Dorner, Verena
  last_name: Dorner
- first_name: Alexander
  full_name: Benlian, Alexander
  last_name: Benlian
- first_name: Michael
  full_name: Scholz, Michael
  last_name: Scholz
- first_name: Guido
  full_name: Schryen, Guido
  id: '72850'
  last_name: Schryen
citation:
  ama: 'Schuhbeck V, Siegfried N, Dorner V, Benlian A, Scholz M, Schryen G. Walking
    the Middle Path: How Medium Trade-off Exposure Leads to Higher Consumer Satisfaction
    in Recommender Agents. In: <i>Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik</i>.
    Siegen, Germany; 2019:55-64.'
  apa: 'Schuhbeck, V., Siegfried, N., Dorner, V., Benlian, A., Scholz, M., &#38; Schryen,
    G. (2019). Walking the Middle Path: How Medium Trade-off Exposure Leads to Higher
    Consumer Satisfaction in Recommender Agents. In <i>Proceedings of the 14. Internationale
    Tagung Wirtschaftsinformatik</i> (pp. 55–64). Siegen, Germany.'
  bibtex: '@inproceedings{Schuhbeck_Siegfried_Dorner_Benlian_Scholz_Schryen_2019,
    place={Siegen, Germany}, title={Walking the Middle Path: How Medium Trade-off
    Exposure Leads to Higher Consumer Satisfaction in Recommender Agents}, booktitle={Proceedings
    of the 14. Internationale Tagung Wirtschaftsinformatik}, author={Schuhbeck, Veronika
    and Siegfried, Nils and Dorner, Verena and Benlian, Alexander and Scholz, Michael
    and Schryen, Guido}, year={2019}, pages={55–64} }'
  chicago: 'Schuhbeck, Veronika, Nils Siegfried, Verena Dorner, Alexander Benlian,
    Michael Scholz, and Guido Schryen. “Walking the Middle Path: How Medium Trade-off
    Exposure Leads to Higher Consumer Satisfaction in Recommender Agents.” In <i>Proceedings
    of the 14. Internationale Tagung Wirtschaftsinformatik</i>, 55–64. Siegen, Germany,
    2019.'
  ieee: 'V. Schuhbeck, N. Siegfried, V. Dorner, A. Benlian, M. Scholz, and G. Schryen,
    “Walking the Middle Path: How Medium Trade-off Exposure Leads to Higher Consumer
    Satisfaction in Recommender Agents,” in <i>Proceedings of the 14. Internationale
    Tagung Wirtschaftsinformatik</i>, Siegen, Germany, 2019, pp. 55–64.'
  mla: 'Schuhbeck, Veronika, et al. “Walking the Middle Path: How Medium Trade-off
    Exposure Leads to Higher Consumer Satisfaction in Recommender Agents.” <i>Proceedings
    of the 14. Internationale Tagung Wirtschaftsinformatik</i>, 2019, pp. 55–64.'
  short: 'V. Schuhbeck, N. Siegfried, V. Dorner, A. Benlian, M. Scholz, G. Schryen,
    in: Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik, Siegen,
    Germany, 2019, pp. 55–64.'
conference:
  end_date: 2019-02-27
  location: Siegen, Germany
  name: 14th International Conference on Wirtschaftsinformatik
  start_date: 2019-02-24
date_created: 2019-01-08T14:06:32Z
date_updated: 2022-01-06T07:03:09Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: closed
  content_type: application/pdf
  creator: hsiemes
  date_created: 2019-01-08T14:07:17Z
  date_updated: 2021-08-13T13:26:11Z
  file_id: '6515'
  file_name: WALKING THE MIDDLE PATH.pdf
  file_size: 371490
  relation: main_file
- access_level: open_access
  content_type: application/pdf
  creator: hsiemes
  date_created: 2021-08-13T13:25:53Z
  date_updated: 2021-08-13T13:25:53Z
  file_id: '23393'
  file_name: Walking the Middle Path_ How Medium Trade-Off Exposure Leads to H.pdf
  file_size: 331001
  relation: main_file
file_date_updated: 2021-08-13T13:26:11Z
has_accepted_license: '1'
keyword:
- Recommender Agents
- Preference Elicitation Method
- Trade-off Exposure
- Customer Satisfaction
language:
- iso: eng
oa: '1'
page: 55-64
place: Siegen, Germany
publication: Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik
status: public
title: 'Walking the Middle Path: How Medium Trade-off Exposure Leads to Higher Consumer
  Satisfaction in Recommender Agents'
type: conference
user_id: '61579'
year: '2019'
...
---
_id: '6860'
author:
- first_name: Haitham
  full_name: Afifi, Haitham
  id: '65718'
  last_name: Afifi
- first_name: Holger
  full_name: Karl, Holger
  id: '126'
  last_name: Karl
citation:
  ama: 'Afifi H, Karl H. Power Allocation with a Wireless Multi-cast Aware Routing
    for Virtual Network Embedding. In: <i>2019 16th IEEE Annual Consumer Communications
    &#38; Networking Conference (CCNC2019)</i>. Las Vegas: IEEE.'
  apa: 'Afifi, H., &#38; Karl, H. (n.d.). Power Allocation with a Wireless Multi-cast
    Aware Routing for Virtual Network Embedding. In <i>2019 16th IEEE Annual Consumer
    Communications &#38; Networking Conference (CCNC2019)</i>. Las Vegas: IEEE.'
  bibtex: '@inproceedings{Afifi_Karl, place={Las Vegas}, title={Power Allocation with
    a Wireless Multi-cast Aware Routing for Virtual Network Embedding}, booktitle={2019
    16th IEEE Annual Consumer Communications &#38; Networking Conference (CCNC2019)},
    publisher={IEEE}, author={Afifi, Haitham and Karl, Holger} }'
  chicago: 'Afifi, Haitham, and Holger Karl. “Power Allocation with a Wireless Multi-Cast
    Aware Routing for Virtual Network Embedding.” In <i>2019 16th IEEE Annual Consumer
    Communications &#38; Networking Conference (CCNC2019)</i>. Las Vegas: IEEE, n.d.'
  ieee: H. Afifi and H. Karl, “Power Allocation with a Wireless Multi-cast Aware Routing
    for Virtual Network Embedding,” in <i>2019 16th IEEE Annual Consumer Communications
    &#38; Networking Conference (CCNC2019)</i>.
  mla: Afifi, Haitham, and Holger Karl. “Power Allocation with a Wireless Multi-Cast
    Aware Routing for Virtual Network Embedding.” <i>2019 16th IEEE Annual Consumer
    Communications &#38; Networking Conference (CCNC2019)</i>, IEEE.
  short: 'H. Afifi, H. Karl, in: 2019 16th IEEE Annual Consumer Communications &#38;
    Networking Conference (CCNC2019), IEEE, Las Vegas, n.d.'
date_created: 2019-01-17T15:51:34Z
date_updated: 2022-01-06T07:03:22Z
ddc:
- '000'
department:
- _id: '75'
file:
- access_level: open_access
  content_type: application/pdf
  creator: hafifi
  date_created: 2019-01-17T15:49:37Z
  date_updated: 2019-01-17T15:49:37Z
  file_id: '6861'
  file_name: globecom.pdf
  file_size: 320283
  relation: main_file
file_date_updated: 2019-01-17T15:49:37Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
place: Las Vegas
project:
- _id: '27'
  name: 'Akustische Sensornetzwerke - Teilprojekt '
- _id: '27'
  name: Akustische Sensornetzwerke - Teilprojekt "Verteilte akustische Signalverarbeitung
    über funkbasierte Sensornetzwerke
publication: 2019 16th IEEE Annual Consumer Communications & Networking Conference
  (CCNC2019)
publication_status: accepted
publisher: IEEE
status: public
title: Power Allocation with a Wireless Multi-cast Aware Routing for Virtual Network
  Embedding
type: conference
user_id: '65718'
year: '2019'
...
---
_id: '16847'
abstract:
- lang: eng
  text: In this work we describe our results achieved in the ProtestNews Lab at CLEF
    2019. To tackle the problems of event sentence detection and event extraction
    we decided to use contextualized string embeddings. The models were trained on
    a data corpus collected from Indian news sources, but evaluated on data obtained
    from news sources from other countries as well, such as China. Our models have
    obtained competitive results and have scored 3rd in the event sentence detection
    task and 1st in the event extraction task based on average F1-scores for different
    test datasets.
author:
- first_name: Gabriella
  full_name: Skitalinskaya, Gabriella
  last_name: Skitalinskaya
- first_name: Jonas
  full_name: Klaff, Jonas
  last_name: Klaff
- first_name: Maximilian
  full_name: Spliethöver, Maximilian
  id: '84035'
  last_name: Spliethöver
  orcid: 0000-0003-4364-1409
citation:
  ama: 'Skitalinskaya G, Klaff J, Spliethöver M. <i>CLEF ProtestNews Lab 2019: Contextualized
    Word Embeddings for Event Sentence Detection and Event Extraction</i>. Vol 2380.
    Lugano, Switzerland; 2019.'
  apa: 'Skitalinskaya, G., Klaff, J., &#38; Spliethöver, M. (2019). <i>CLEF ProtestNews
    Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event
    Extraction</i> (Vol. 2380). Lugano, Switzerland.'
  bibtex: '@book{Skitalinskaya_Klaff_Spliethöver_2019, place={Lugano, Switzerland},
    series={CEUR Workshop Proceedings}, title={CLEF ProtestNews Lab 2019: Contextualized
    Word Embeddings for Event Sentence Detection and Event Extraction}, volume={2380},
    author={Skitalinskaya, Gabriella and Klaff, Jonas and Spliethöver, Maximilian},
    year={2019}, collection={CEUR Workshop Proceedings} }'
  chicago: 'Skitalinskaya, Gabriella, Jonas Klaff, and Maximilian Spliethöver. <i>CLEF
    ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection
    and Event Extraction</i>. Vol. 2380. CEUR Workshop Proceedings. Lugano, Switzerland,
    2019.'
  ieee: 'G. Skitalinskaya, J. Klaff, and M. Spliethöver, <i>CLEF ProtestNews Lab 2019:
    Contextualized Word Embeddings for Event Sentence Detection and Event Extraction</i>,
    vol. 2380. Lugano, Switzerland, 2019.'
  mla: 'Skitalinskaya, Gabriella, et al. <i>CLEF ProtestNews Lab 2019: Contextualized
    Word Embeddings for Event Sentence Detection and Event Extraction</i>. Vol. 2380,
    2019.'
  short: 'G. Skitalinskaya, J. Klaff, M. Spliethöver, CLEF ProtestNews Lab 2019: Contextualized
    Word Embeddings for Event Sentence Detection and Event Extraction, Lugano, Switzerland,
    2019.'
date_created: 2020-04-23T15:18:40Z
date_updated: 2022-01-06T06:52:57Z
extern: '1'
intvolume: '      2380'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://ceur-ws.org/Vol-2380/paper_118.pdf
oa: '1'
page: '7'
place: Lugano, Switzerland
report_number: '118'
series_title: CEUR Workshop Proceedings
status: public
title: 'CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence
  Detection and Event Extraction'
type: report
user_id: '84035'
volume: 2380
year: '2019'
...
---
_id: '11965'
abstract:
- lang: eng
  text: 'We present an unsupervised training approach for a neural network-based mask
    estimator in an acoustic beamforming application. The network is trained to maximize
    a likelihood criterion derived from a spatial mixture model of the observations.
    It is trained from scratch without requiring any parallel data consisting of degraded
    input and clean training targets. Thus, training can be carried out on real recordings
    of noisy speech rather than simulated ones. In contrast to previous work on unsupervised
    training of neural mask estimators, our approach avoids the need for a possibly
    pre-trained teacher model entirely. We demonstrate the effectiveness of our approach
    by speech recognition experiments on two different datasets: one mainly deteriorated
    by noise (CHiME 4) and one by reverberation (REVERB). The results show that the
    performance of the proposed system is on par with a supervised system using oracle
    target masks for training and with a system trained using a model-based teacher.'
author:
- first_name: Lukas
  full_name: Drude, Lukas
  id: '11213'
  last_name: Drude
- first_name: Jahn
  full_name: Heymann, Jahn
  id: '9168'
  last_name: Heymann
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Drude L, Heymann J, Haeb-Umbach R. Unsupervised training of neural mask-based
    beamforming. In: <i>INTERSPEECH 2019, Graz, Austria</i>. ; 2019.'
  apa: Drude, L., Heymann, J., &#38; Haeb-Umbach, R. (2019). Unsupervised training
    of neural mask-based beamforming. In <i>INTERSPEECH 2019, Graz, Austria</i>.
  bibtex: '@inproceedings{Drude_Heymann_Haeb-Umbach_2019, title={Unsupervised training
    of neural mask-based beamforming}, booktitle={INTERSPEECH 2019, Graz, Austria},
    author={Drude, Lukas and Heymann, Jahn and Haeb-Umbach, Reinhold}, year={2019}
    }'
  chicago: Drude, Lukas, Jahn Heymann, and Reinhold Haeb-Umbach. “Unsupervised Training
    of Neural Mask-Based Beamforming.” In <i>INTERSPEECH 2019, Graz, Austria</i>,
    2019.
  ieee: L. Drude, J. Heymann, and R. Haeb-Umbach, “Unsupervised training of neural
    mask-based beamforming,” in <i>INTERSPEECH 2019, Graz, Austria</i>, 2019.
  mla: Drude, Lukas, et al. “Unsupervised Training of Neural Mask-Based Beamforming.”
    <i>INTERSPEECH 2019, Graz, Austria</i>, 2019.
  short: 'L. Drude, J. Heymann, R. Haeb-Umbach, in: INTERSPEECH 2019, Graz, Austria,
    2019.'
date_created: 2019-07-18T09:11:39Z
date_updated: 2022-01-06T06:51:14Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: open_access
  content_type: application/pdf
  creator: huesera
  date_created: 2019-08-13T06:36:44Z
  date_updated: 2019-08-13T06:41:35Z
  file_id: '12914'
  file_name: INTERSPEECH_2019_Drude_Paper.pdf
  file_size: 223413
  relation: main_file
file_date_updated: 2019-08-13T06:41:35Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: INTERSPEECH 2019, Graz, Austria
status: public
title: Unsupervised training of neural mask-based beamforming
type: conference
user_id: '59789'
year: '2019'
...
---
_id: '12874'
abstract:
- lang: eng
  text: We propose a training scheme to train neural network-based source separation
    algorithms from scratch when parallel clean data is unavailable. In particular,
    we demonstrate that an unsupervised spatial clustering algorithm is sufficient
    to guide the training of a deep clustering system. We argue that previous work
    on deep clustering requires strong supervision and elaborate on why this is a
    limitation. We demonstrate that (a) the single-channel deep clustering system
    trained according to the proposed scheme alone is able to achieve a similar performance
    as the multi-channel teacher in terms of word error rates and (b) initializing
    the spatial clustering approach with the deep clustering result yields a relative
    word error rate reduction of 26% over the unsupervised teacher.
author:
- first_name: Lukas
  full_name: Drude, Lukas
  id: '11213'
  last_name: Drude
- first_name: Daniel
  full_name: Hasenklever, Daniel
  last_name: Hasenklever
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Drude L, Hasenklever D, Haeb-Umbach R. Unsupervised Training of a Deep Clustering
    Model for Multichannel Blind Source Separation. In: <i>ICASSP 2019, Brighton,
    UK</i>. ; 2019.'
  apa: Drude, L., Hasenklever, D., &#38; Haeb-Umbach, R. (2019). Unsupervised Training
    of a Deep Clustering Model for Multichannel Blind Source Separation. In <i>ICASSP
    2019, Brighton, UK</i>.
  bibtex: '@inproceedings{Drude_Hasenklever_Haeb-Umbach_2019, title={Unsupervised
    Training of a Deep Clustering Model for Multichannel Blind Source Separation},
    booktitle={ICASSP 2019, Brighton, UK}, author={Drude, Lukas and Hasenklever, Daniel
    and Haeb-Umbach, Reinhold}, year={2019} }'
  chicago: Drude, Lukas, Daniel Hasenklever, and Reinhold Haeb-Umbach. “Unsupervised
    Training of a Deep Clustering Model for Multichannel Blind Source Separation.”
    In <i>ICASSP 2019, Brighton, UK</i>, 2019.
  ieee: L. Drude, D. Hasenklever, and R. Haeb-Umbach, “Unsupervised Training of a
    Deep Clustering Model for Multichannel Blind Source Separation,” in <i>ICASSP
    2019, Brighton, UK</i>, 2019.
  mla: Drude, Lukas, et al. “Unsupervised Training of a Deep Clustering Model for
    Multichannel Blind Source Separation.” <i>ICASSP 2019, Brighton, UK</i>, 2019.
  short: 'L. Drude, D. Hasenklever, R. Haeb-Umbach, in: ICASSP 2019, Brighton, UK,
    2019.'
date_created: 2019-07-23T07:37:54Z
date_updated: 2022-01-06T06:51:21Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: open_access
  content_type: application/pdf
  creator: huesera
  date_created: 2019-08-14T07:19:13Z
  date_updated: 2019-08-14T07:19:13Z
  file_id: '12925'
  file_name: ICASSP_2019_Drude_Paper.pdf
  file_size: 368225
  relation: main_file
file_date_updated: 2019-08-14T07:19:13Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: ICASSP 2019, Brighton, UK
status: public
title: Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source
  Separation
type: conference
user_id: '59789'
year: '2019'
...
---
_id: '12875'
abstract:
- lang: eng
  text: Signal dereverberation using the Weighted Prediction Error (WPE) method has
    been proven to be an effective means to raise the accuracy of far-field speech
    recognition. First proposed as an iterative algorithm, follow-up works have reformulated
    it as a recursive least squares algorithm and therefore enabled its use in online
    applications. For this algorithm, the estimation of the power spectral density
    (PSD) of the anechoic signal plays an important role and strongly influences its
    performance. Recently, we showed that using a neural network PSD estimator leads
    to improved performance for online automatic speech recognition. This, however,
    comes at a price. To train the network, we require parallel data, i.e., utterances
    simultaneously available in clean and reverberated form. Here we propose to overcome
    this limitation by training the network jointly with the acoustic model of the
    speech recognizer. To be specific, the gradients computed from the cross-entropy
    loss between the target senone sequence and the acoustic model network output
    is backpropagated through the complex-valued dereverberation filter estimation
    to the neural network for PSD estimation. Evaluation on two databases demonstrates
    improved performance for on-line processing scenarios while imposing fewer requirements
    on the available training data and thus widening the range of applications.
author:
- first_name: Jahn
  full_name: Heymann, Jahn
  id: '9168'
  last_name: Heymann
- first_name: Lukas
  full_name: Drude, Lukas
  id: '11213'
  last_name: Drude
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
- first_name: Keisuke
  full_name: Kinoshita, Keisuke
  last_name: Kinoshita
- first_name: Tomohiro
  full_name: Nakatani, Tomohiro
  last_name: Nakatani
citation:
  ama: 'Heymann J, Drude L, Haeb-Umbach R, Kinoshita K, Nakatani T. Joint Optimization
    of Neural Network-based WPE Dereverberation and Acoustic Model for Robust Online
    ASR. In: <i>ICASSP 2019, Brighton, UK</i>. ; 2019.'
  apa: Heymann, J., Drude, L., Haeb-Umbach, R., Kinoshita, K., &#38; Nakatani, T.
    (2019). Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic
    Model for Robust Online ASR. In <i>ICASSP 2019, Brighton, UK</i>.
  bibtex: '@inproceedings{Heymann_Drude_Haeb-Umbach_Kinoshita_Nakatani_2019, title={Joint
    Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for
    Robust Online ASR}, booktitle={ICASSP 2019, Brighton, UK}, author={Heymann, Jahn
    and Drude, Lukas and Haeb-Umbach, Reinhold and Kinoshita, Keisuke and Nakatani,
    Tomohiro}, year={2019} }'
  chicago: Heymann, Jahn, Lukas Drude, Reinhold Haeb-Umbach, Keisuke Kinoshita, and
    Tomohiro Nakatani. “Joint Optimization of Neural Network-Based WPE Dereverberation
    and Acoustic Model for Robust Online ASR.” In <i>ICASSP 2019, Brighton, UK</i>,
    2019.
  ieee: J. Heymann, L. Drude, R. Haeb-Umbach, K. Kinoshita, and T. Nakatani, “Joint
    Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for
    Robust Online ASR,” in <i>ICASSP 2019, Brighton, UK</i>, 2019.
  mla: Heymann, Jahn, et al. “Joint Optimization of Neural Network-Based WPE Dereverberation
    and Acoustic Model for Robust Online ASR.” <i>ICASSP 2019, Brighton, UK</i>, 2019.
  short: 'J. Heymann, L. Drude, R. Haeb-Umbach, K. Kinoshita, T. Nakatani, in: ICASSP
    2019, Brighton, UK, 2019.'
date_created: 2019-07-23T07:42:26Z
date_updated: 2022-01-06T06:51:22Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: open_access
  content_type: application/pdf
  creator: huesera
  date_created: 2019-12-17T07:28:06Z
  date_updated: 2019-12-17T07:28:06Z
  file_id: '15334'
  file_name: ICASSP_2019_Heymann_Paper.pdf
  file_size: 199109
  relation: main_file
file_date_updated: 2019-12-17T07:28:06Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: ICASSP 2019, Brighton, UK
status: public
title: Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic
  Model for Robust Online ASR
type: conference
user_id: '59789'
year: '2019'
...
---
_id: '12876'
abstract:
- lang: eng
  text: In this paper, we present libDirectional, a MATLAB library for directional
    statistics and directional estimation. It supports a variety of commonly used
    distributions on the unit circle, such as the von Mises, wrapped normal, and wrapped
    Cauchy distributions. Furthermore, various distributions on higher-dimensional
    manifolds such as the unit hypersphere and the hypertorus are available. Based
    on these distributions, several recursive filtering algorithms in libDirectional
    allow estimation on these manifolds. The functionality is implemented in a clear,
    well-documented, and object-oriented structure that is both easy to use and easy
    to extend.
author:
- first_name: Gerhard
  full_name: Kurz, Gerhard
  last_name: Kurz
- first_name: Igor
  full_name: Gilitschenski, Igor
  last_name: Gilitschenski
- first_name: Florian
  full_name: Pfaff, Florian
  last_name: Pfaff
- first_name: Lukas
  full_name: Drude, Lukas
  id: '11213'
  last_name: Drude
- first_name: Uwe D.
  full_name: Hanebeck, Uwe D.
  last_name: Hanebeck
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
- first_name: Roland Y.
  full_name: Siegwart, Roland Y.
  last_name: Siegwart
citation:
  ama: 'Kurz G, Gilitschenski I, Pfaff F, et al. Directional Statistics and Filtering
    Using libDirectional. In: <i>Journal of Statistical Software 89(4)</i>. ; 2019.'
  apa: Kurz, G., Gilitschenski, I., Pfaff, F., Drude, L., Hanebeck, U. D., Haeb-Umbach,
    R., &#38; Siegwart, R. Y. (2019). Directional Statistics and Filtering Using libDirectional.
    In <i>Journal of Statistical Software 89(4)</i>.
  bibtex: '@inproceedings{Kurz_Gilitschenski_Pfaff_Drude_Hanebeck_Haeb-Umbach_Siegwart_2019,
    title={Directional Statistics and Filtering Using libDirectional}, booktitle={Journal
    of Statistical Software 89(4)}, author={Kurz, Gerhard and Gilitschenski, Igor
    and Pfaff, Florian and Drude, Lukas and Hanebeck, Uwe D. and Haeb-Umbach, Reinhold
    and Siegwart, Roland Y.}, year={2019} }'
  chicago: Kurz, Gerhard, Igor Gilitschenski, Florian Pfaff, Lukas Drude, Uwe D. Hanebeck,
    Reinhold Haeb-Umbach, and Roland Y. Siegwart. “Directional Statistics and Filtering
    Using LibDirectional.” In <i>Journal of Statistical Software 89(4)</i>, 2019.
  ieee: G. Kurz <i>et al.</i>, “Directional Statistics and Filtering Using libDirectional,”
    in <i>Journal of Statistical Software 89(4)</i>, 2019.
  mla: Kurz, Gerhard, et al. “Directional Statistics and Filtering Using LibDirectional.”
    <i>Journal of Statistical Software 89(4)</i>, 2019.
  short: 'G. Kurz, I. Gilitschenski, F. Pfaff, L. Drude, U.D. Hanebeck, R. Haeb-Umbach,
    R.Y. Siegwart, in: Journal of Statistical Software 89(4), 2019.'
date_created: 2019-07-23T07:44:59Z
date_updated: 2022-01-06T06:51:22Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: open_access
  content_type: application/pdf
  creator: huesera
  date_created: 2019-08-14T07:16:05Z
  date_updated: 2019-08-14T07:16:05Z
  file_id: '12923'
  file_name: JournalofStatisticalSoftware_2019_Drude_Paper.pdf
  file_size: 1522964
  relation: main_file
file_date_updated: 2019-08-14T07:16:05Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
publication: Journal of Statistical Software 89(4)
status: public
title: Directional Statistics and Filtering Using libDirectional
type: conference
user_id: '59789'
year: '2019'
...
---
_id: '12882'
abstract:
- lang: eng
  text: One of the major challenges in implementing wireless virtualization is the
    resource discovery. This is particularly important for the embedding-algorithms
    that are used to distribute the tasks to nodes. MARVELO is a prototype framework
    for executing different distributed algorithms on the top of a wireless (802.11)
    ad-hoc network. The aim of MARVELO is to select the nodes for running the algorithms
    and to define the routing between the nodes. Hence, it also supports monitoring
    functionalities to collect information about the available resources and to assist
    in profiling the algorithms. The objective of this demo is to show how MAVRLEO
    distributes tasks in an ad-hoc network, based on a feedback from our monitoring
    tool. Additionally, we explain the work-flow, composition and execution of the
    framework.
author:
- first_name: Haitham
  full_name: Afifi, Haitham
  id: '65718'
  last_name: Afifi
- first_name: Holger
  full_name: Karl, Holger
  id: '126'
  last_name: Karl
- first_name: Sebastian
  full_name: Eikenberg, Sebastian
  last_name: Eikenberg
- first_name: Arnold
  full_name: Mueller, Arnold
  last_name: Mueller
- first_name: Lars
  full_name: Gansel, Lars
  last_name: Gansel
- first_name: Alexander
  full_name: Makejkin, Alexander
  last_name: Makejkin
- first_name: Kai
  full_name: Hannemann, Kai
  last_name: Hannemann
- first_name: Rafael
  full_name: Schellenberg, Rafael
  last_name: Schellenberg
citation:
  ama: 'Afifi H, Karl H, Eikenberg S, et al. A Rapid Prototyping for Wireless Virtual
    Network Embedding using MARVELO. In: <i>2019 IEEE Wireless Communications and
    Networking Conference (WCNC) (IEEE WCNC 2019) (Demo)</i>. Marrakech, Morocco;
    2019.'
  apa: Afifi, H., Karl, H., Eikenberg, S., Mueller, A., Gansel, L., Makejkin, A.,
    … Schellenberg, R. (2019). A Rapid Prototyping for Wireless Virtual Network Embedding
    using MARVELO. In <i>2019 IEEE Wireless Communications and Networking Conference
    (WCNC) (IEEE WCNC 2019) (Demo)</i>. Marrakech, Morocco.
  bibtex: '@inproceedings{Afifi_Karl_Eikenberg_Mueller_Gansel_Makejkin_Hannemann_Schellenberg_2019,
    place={Marrakech, Morocco}, title={A Rapid Prototyping for Wireless Virtual Network
    Embedding using MARVELO}, booktitle={2019 IEEE Wireless Communications and Networking
    Conference (WCNC) (IEEE WCNC 2019) (Demo)}, author={Afifi, Haitham and Karl, Holger
    and Eikenberg, Sebastian and Mueller, Arnold and Gansel, Lars and Makejkin, Alexander
    and Hannemann, Kai and Schellenberg, Rafael}, year={2019} }'
  chicago: Afifi, Haitham, Holger Karl, Sebastian Eikenberg, Arnold Mueller, Lars
    Gansel, Alexander Makejkin, Kai Hannemann, and Rafael Schellenberg. “A Rapid Prototyping
    for Wireless Virtual Network Embedding Using MARVELO.” In <i>2019 IEEE Wireless
    Communications and Networking Conference (WCNC) (IEEE WCNC 2019) (Demo)</i>. Marrakech,
    Morocco, 2019.
  ieee: H. Afifi <i>et al.</i>, “A Rapid Prototyping for Wireless Virtual Network
    Embedding using MARVELO,” in <i>2019 IEEE Wireless Communications and Networking
    Conference (WCNC) (IEEE WCNC 2019) (Demo)</i>, 2019.
  mla: Afifi, Haitham, et al. “A Rapid Prototyping for Wireless Virtual Network Embedding
    Using MARVELO.” <i>2019 IEEE Wireless Communications and Networking Conference
    (WCNC) (IEEE WCNC 2019) (Demo)</i>, 2019.
  short: 'H. Afifi, H. Karl, S. Eikenberg, A. Mueller, L. Gansel, A. Makejkin, K.
    Hannemann, R. Schellenberg, in: 2019 IEEE Wireless Communications and Networking
    Conference (WCNC) (IEEE WCNC 2019) (Demo), Marrakech, Morocco, 2019.'
date_created: 2019-07-24T07:28:45Z
date_updated: 2022-01-06T06:51:22Z
ddc:
- '006'
department:
- _id: '75'
file:
- access_level: open_access
  content_type: application/pdf
  creator: hafifi
  date_created: 2021-01-30T12:39:43Z
  date_updated: 2021-01-30T12:42:31Z
  file_id: '21113'
  file_name: demo.pdf
  file_size: 102976
  relation: main_file
file_date_updated: 2021-01-30T12:42:31Z
has_accepted_license: '1'
keyword:
- WSN
- virtualization
- VNE
language:
- iso: eng
oa: '1'
place: Marrakech, Morocco
project:
- _id: '27'
  name: 'Akustische Sensornetzwerke - Teilprojekt '
publication: 2019 IEEE Wireless Communications and Networking Conference (WCNC) (IEEE
  WCNC 2019) (Demo)
status: public
title: A Rapid Prototyping for Wireless Virtual Network Embedding using MARVELO
type: conference
user_id: '65718'
year: '2019'
...
---
_id: '12890'
abstract:
- lang: eng
  text: 'We formulate a generic framework for blind source separation (BSS), which
    allows integrating data-driven spectro-temporal methods, such as deep clustering
    and deep attractor networks, with physically motivated probabilistic spatial methods,
    such as complex angular central Gaussian mixture models. The integrated model
    exploits the complementary strengths of the two approaches to BSS: the strong
    modeling power of neural networks, which, however, is based on supervised learning,
    and the ease of unsupervised learning of the spatial mixture models whose few
    parameters can be estimated on as little as a single segment of a real mixture
    of speech. Experiments are carried out on both artificially mixed speech and true
    recordings of speech mixtures. The experiments verify that the integrated models
    consistently outperform the individual components. We further extend the models
    to cope with noisy, reverberant speech and introduce a cross-domain teacher–student
    training where the mixture model serves as the teacher to provide training targets
    for the student neural network.'
author:
- first_name: Lukas
  full_name: Drude, Lukas
  id: '11213'
  last_name: Drude
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: Drude L, Haeb-Umbach R. Integration of Neural Networks and Probabilistic Spatial
    Models for Acoustic Blind Source Separation. <i>IEEE Journal of Selected Topics
    in Signal Processing</i>. 2019. doi:<a href="https://doi.org/10.1109/JSTSP.2019.2912565">10.1109/JSTSP.2019.2912565</a>
  apa: Drude, L., &#38; Haeb-Umbach, R. (2019). Integration of Neural Networks and
    Probabilistic Spatial Models for Acoustic Blind Source Separation. <i>IEEE Journal
    of Selected Topics in Signal Processing</i>. <a href="https://doi.org/10.1109/JSTSP.2019.2912565">https://doi.org/10.1109/JSTSP.2019.2912565</a>
  bibtex: '@article{Drude_Haeb-Umbach_2019, title={Integration of Neural Networks
    and Probabilistic Spatial Models for Acoustic Blind Source Separation}, DOI={<a
    href="https://doi.org/10.1109/JSTSP.2019.2912565">10.1109/JSTSP.2019.2912565</a>},
    journal={IEEE Journal of Selected Topics in Signal Processing}, author={Drude,
    Lukas and Haeb-Umbach, Reinhold}, year={2019} }'
  chicago: Drude, Lukas, and Reinhold Haeb-Umbach. “Integration of Neural Networks
    and Probabilistic Spatial Models for Acoustic Blind Source Separation.” <i>IEEE
    Journal of Selected Topics in Signal Processing</i>, 2019. <a href="https://doi.org/10.1109/JSTSP.2019.2912565">https://doi.org/10.1109/JSTSP.2019.2912565</a>.
  ieee: L. Drude and R. Haeb-Umbach, “Integration of Neural Networks and Probabilistic
    Spatial Models for Acoustic Blind Source Separation,” <i>IEEE Journal of Selected
    Topics in Signal Processing</i>, 2019.
  mla: Drude, Lukas, and Reinhold Haeb-Umbach. “Integration of Neural Networks and
    Probabilistic Spatial Models for Acoustic Blind Source Separation.” <i>IEEE Journal
    of Selected Topics in Signal Processing</i>, 2019, doi:<a href="https://doi.org/10.1109/JSTSP.2019.2912565">10.1109/JSTSP.2019.2912565</a>.
  short: L. Drude, R. Haeb-Umbach, IEEE Journal of Selected Topics in Signal Processing
    (2019).
date_created: 2019-07-26T08:38:46Z
date_updated: 2022-01-06T06:51:23Z
ddc:
- '050'
department:
- _id: '54'
doi: 10.1109/JSTSP.2019.2912565
file:
- access_level: open_access
  content_type: application/pdf
  creator: huesera
  date_created: 2019-08-07T07:12:21Z
  date_updated: 2019-08-14T07:11:22Z
  file_id: '12903'
  file_name: IEEE Jounal_2019_Drude_Paper.pdf
  file_size: 967424
  relation: main_file
file_date_updated: 2019-08-14T07:11:22Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: IEEE Journal of Selected Topics in Signal Processing
publication_identifier:
  eissn:
  - 1941-0484
status: public
title: Integration of Neural Networks and Probabilistic Spatial Models for Acoustic
  Blind Source Separation
type: journal_article
user_id: '11213'
year: '2019'
...
---
_id: '12908'
author:
- first_name: Manfred
  full_name: Hammer, Manfred
  id: '48077'
  last_name: Hammer
  orcid: 0000-0002-6331-9348
- first_name: Lena
  full_name: Ebers, Lena
  id: '40428'
  last_name: Ebers
- first_name: Jens
  full_name: Förstner, Jens
  id: '158'
  last_name: Förstner
  orcid: 0000-0001-7059-9862
citation:
  ama: 'Hammer M, Ebers L, Förstner J. Oblique quasi-lossless excitation of a thin
    silicon slab waveguide: a guided-wave variant of an anti-reflection coating. <i>Journal
    of the Optical Society of America B</i>. 2019;36:2395. doi:<a href="https://doi.org/10.1364/josab.36.002395">10.1364/josab.36.002395</a>'
  apa: 'Hammer, M., Ebers, L., &#38; Förstner, J. (2019). Oblique quasi-lossless excitation
    of a thin silicon slab waveguide: a guided-wave variant of an anti-reflection
    coating. <i>Journal of the Optical Society of America B</i>, <i>36</i>, 2395.
    <a href="https://doi.org/10.1364/josab.36.002395">https://doi.org/10.1364/josab.36.002395</a>'
  bibtex: '@article{Hammer_Ebers_Förstner_2019, title={Oblique quasi-lossless excitation
    of a thin silicon slab waveguide: a guided-wave variant of an anti-reflection
    coating}, volume={36}, DOI={<a href="https://doi.org/10.1364/josab.36.002395">10.1364/josab.36.002395</a>},
    journal={Journal of the Optical Society of America B}, author={Hammer, Manfred
    and Ebers, Lena and Förstner, Jens}, year={2019}, pages={2395} }'
  chicago: 'Hammer, Manfred, Lena Ebers, and Jens Förstner. “Oblique Quasi-Lossless
    Excitation of a Thin Silicon Slab Waveguide: A Guided-Wave Variant of an Anti-Reflection
    Coating.” <i>Journal of the Optical Society of America B</i> 36 (2019): 2395.
    <a href="https://doi.org/10.1364/josab.36.002395">https://doi.org/10.1364/josab.36.002395</a>.'
  ieee: 'M. Hammer, L. Ebers, and J. Förstner, “Oblique quasi-lossless excitation
    of a thin silicon slab waveguide: a guided-wave variant of an anti-reflection
    coating,” <i>Journal of the Optical Society of America B</i>, vol. 36, p. 2395,
    2019.'
  mla: 'Hammer, Manfred, et al. “Oblique Quasi-Lossless Excitation of a Thin Silicon
    Slab Waveguide: A Guided-Wave Variant of an Anti-Reflection Coating.” <i>Journal
    of the Optical Society of America B</i>, vol. 36, 2019, p. 2395, doi:<a href="https://doi.org/10.1364/josab.36.002395">10.1364/josab.36.002395</a>.'
  short: M. Hammer, L. Ebers, J. Förstner, Journal of the Optical Society of America
    B 36 (2019) 2395.
date_created: 2019-08-09T07:07:45Z
date_updated: 2022-01-06T06:51:24Z
ddc:
- '530'
department:
- _id: '61'
- _id: '230'
- _id: '429'
doi: 10.1364/josab.36.002395
file:
- access_level: open_access
  content_type: application/pdf
  creator: fossie
  date_created: 2019-08-09T07:09:04Z
  date_updated: 2019-08-09T07:09:04Z
  file_id: '12909'
  file_name: 2019-07 Hammer - JOSA B - Oblique Quasi-Lossless Excitation of a Thin
    Silicon Slab Waveguide (preprint).pdf
  file_size: 728533
  relation: main_file
file_date_updated: 2019-08-09T07:09:04Z
has_accepted_license: '1'
intvolume: '        36'
keyword:
- tet_topic_waveguides
language:
- iso: eng
oa: '1'
page: '2395'
project:
- _id: '53'
  name: TRR 142
- _id: '56'
  name: TRR 142 - Project Area C
- _id: '75'
  name: TRR 142 - Subproject C5
publication: Journal of the Optical Society of America B
publication_identifier:
  issn:
  - 0740-3224
  - 1520-8540
publication_status: published
status: public
title: 'Oblique quasi-lossless excitation of a thin silicon slab waveguide: a guided-wave
  variant of an anti-reflection coating'
type: journal_article
user_id: '158'
volume: 36
year: '2019'
...
---
_id: '15371'
abstract:
- lang: eng
  text: "More and more management and orchestration approaches for (software) networks
    are based on machine learning paradigms and solutions. These approaches depend
    not only on their program code to operate properly, but also require enough input
    data to train their internal models. However, such training data is barely available
    for the software networking domain and most presented solutions rely on their
    own, sometimes not even published, data sets. This makes it hard, or even infeasible,
    to reproduce and compare many of the existing solutions. As a result, it ultimately
    slows down the adoption of machine learning approaches in softwarised networks.
    To this end, we introduce the \"softwarised network data zoo\" (SNDZoo), an open
    collection of software networking data sets aiming to streamline and ease machine
    learning research in the software networking domain. We present a general methodology
    to collect, archive, and publish those data sets for use by other researches and,
    as an example, eight initial data sets, focusing on the performance of virtualised
    network functions.\r\n"
author:
- first_name: Manuel
  full_name: Peuster, Manuel
  id: '13271'
  last_name: Peuster
- first_name: Stefan Balthasar
  full_name: Schneider, Stefan Balthasar
  id: '35343'
  last_name: Schneider
  orcid: 0000-0001-8210-4011
- first_name: Holger
  full_name: Karl, Holger
  id: '126'
  last_name: Karl
citation:
  ama: 'Peuster M, Schneider SB, Karl H. The Softwarised Network Data Zoo. In: <i>IEEE/IFIP
    15th International Conference on Network and Service Management (CNSM)</i>. Halifax:
    IEEE/IFIP; 2019.'
  apa: 'Peuster, M., Schneider, S. B., &#38; Karl, H. (2019). The Softwarised Network
    Data Zoo. In <i>IEEE/IFIP 15th International Conference on Network and Service
    Management (CNSM)</i>. Halifax: IEEE/IFIP.'
  bibtex: '@inproceedings{Peuster_Schneider_Karl_2019, place={Halifax}, title={The
    Softwarised Network Data Zoo}, booktitle={IEEE/IFIP 15th International Conference
    on Network and Service Management (CNSM)}, publisher={IEEE/IFIP}, author={Peuster,
    Manuel and Schneider, Stefan Balthasar and Karl, Holger}, year={2019} }'
  chicago: 'Peuster, Manuel, Stefan Balthasar Schneider, and Holger Karl. “The Softwarised
    Network Data Zoo.” In <i>IEEE/IFIP 15th International Conference on Network and
    Service Management (CNSM)</i>. Halifax: IEEE/IFIP, 2019.'
  ieee: M. Peuster, S. B. Schneider, and H. Karl, “The Softwarised Network Data Zoo,”
    in <i>IEEE/IFIP 15th International Conference on Network and Service Management
    (CNSM)</i>, 2019.
  mla: Peuster, Manuel, et al. “The Softwarised Network Data Zoo.” <i>IEEE/IFIP 15th
    International Conference on Network and Service Management (CNSM)</i>, IEEE/IFIP,
    2019.
  short: 'M. Peuster, S.B. Schneider, H. Karl, in: IEEE/IFIP 15th International Conference
    on Network and Service Management (CNSM), IEEE/IFIP, Halifax, 2019.'
date_created: 2019-12-18T07:30:45Z
date_updated: 2022-01-06T06:52:21Z
ddc:
- '000'
department:
- _id: '75'
file:
- access_level: open_access
  content_type: application/pdf
  creator: peuster
  date_created: 2019-12-18T08:10:23Z
  date_updated: 2019-12-18T08:10:23Z
  file_id: '15377'
  file_name: main_for_ris.pdf
  file_size: 515208
  relation: main_file
file_date_updated: 2019-12-18T08:10:23Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://dl.ifip.org/db/conf/cnsm/cnsm2019/1570555677.pdf
oa: '1'
place: Halifax
project:
- _id: '1'
  name: SFB 901
- _id: '4'
  name: SFB 901 - Project Area C
- _id: '16'
  name: SFB 901 - Subproject C4
- _id: '28'
  grant_number: '761493'
  name: 5G Development and validation platform for global industry-specific network
    services and Apps
publication: IEEE/IFIP 15th International Conference on Network and Service Management
  (CNSM)
publisher: IEEE/IFIP
status: public
title: The Softwarised Network Data Zoo
type: conference
user_id: '13271'
year: '2019'
...
---
_id: '15373'
abstract:
- lang: eng
  text: "Offloading packet processing tasks to programmable switches and/or to programmable
    network interfaces, so called “SmartNICs”, is one of the key concepts to prepare
    softwarized networks for the high traffic demands of the future. However, implementing
    network functions that make use of those offload- ing technologies is still challenging
    and usually requires the availability of specialized hardware. It becomes even
    harder if heterogeneous services, making use of different offloading and network
    virtualization technologies, should be developed.\r\nIn this paper, we introduce
    FOP4 (Function Offloading Pro- totyping with P4), a novel prototyping platform
    that allows to prototype heterogeneous software network scenarios, including container-based,
    P4-switch-based, and SmartNIC-based network functions. The presented work substantially
    extends our existing Containernet platform with the means to prototype offloading
    scenarios. Besides presenting the platform’s system design, we evaluate its scalability
    and show that it can run scenarios with more than 64 P4 switch or SmartNIC nodes
    on a single laptop. Finally, we presented a case study in which we use the presented
    platform to prototype an extended in-band network telemetry use case."
author:
- first_name: Daniele
  full_name: Moro, Daniele
  last_name: Moro
- first_name: Manuel
  full_name: Peuster, Manuel
  id: '13271'
  last_name: Peuster
- first_name: Holger
  full_name: Karl, Holger
  id: '126'
  last_name: Karl
- first_name: Antonio
  full_name: Capone, Antonio
  last_name: Capone
citation:
  ama: 'Moro D, Peuster M, Karl H, Capone A. FOP4: Function Offloading Prototyping
    in Heterogeneous and Programmable Network Scenarios. In: <i>IEEE Conference on
    Network Function Virtualization and Software Defined Networks (NFV-SDN)</i>. Dallas:
    IEEE; 2019.'
  apa: 'Moro, D., Peuster, M., Karl, H., &#38; Capone, A. (2019). FOP4: Function Offloading
    Prototyping in Heterogeneous and Programmable Network Scenarios. In <i>IEEE Conference
    on Network Function Virtualization and Software Defined Networks (NFV-SDN)</i>.
    Dallas: IEEE.'
  bibtex: '@inproceedings{Moro_Peuster_Karl_Capone_2019, place={Dallas}, title={FOP4:
    Function Offloading Prototyping in Heterogeneous and Programmable Network Scenarios},
    booktitle={IEEE Conference on Network Function Virtualization and Software Defined
    Networks (NFV-SDN)}, publisher={IEEE}, author={Moro, Daniele and Peuster, Manuel
    and Karl, Holger and Capone, Antonio}, year={2019} }'
  chicago: 'Moro, Daniele, Manuel Peuster, Holger Karl, and Antonio Capone. “FOP4:
    Function Offloading Prototyping in Heterogeneous and Programmable Network Scenarios.”
    In <i>IEEE Conference on Network Function Virtualization and Software Defined
    Networks (NFV-SDN)</i>. Dallas: IEEE, 2019.'
  ieee: 'D. Moro, M. Peuster, H. Karl, and A. Capone, “FOP4: Function Offloading Prototyping
    in Heterogeneous and Programmable Network Scenarios,” in <i>IEEE Conference on
    Network Function Virtualization and Software Defined Networks (NFV-SDN)</i>, 2019.'
  mla: 'Moro, Daniele, et al. “FOP4: Function Offloading Prototyping in Heterogeneous
    and Programmable Network Scenarios.” <i>IEEE Conference on Network Function Virtualization
    and Software Defined Networks (NFV-SDN)</i>, IEEE, 2019.'
  short: 'D. Moro, M. Peuster, H. Karl, A. Capone, in: IEEE Conference on Network
    Function Virtualization and Software Defined Networks (NFV-SDN), IEEE, Dallas,
    2019.'
date_created: 2019-12-18T07:39:28Z
date_updated: 2022-01-06T06:52:22Z
ddc:
- '000'
department:
- _id: '75'
file:
- access_level: open_access
  content_type: application/pdf
  creator: peuster
  date_created: 2019-12-18T08:11:37Z
  date_updated: 2019-12-18T08:11:37Z
  file_id: '15378'
  file_name: main_for_ris.pdf
  file_size: 657216
  relation: main_file
file_date_updated: 2019-12-18T08:11:37Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
place: Dallas
project:
- _id: '28'
  grant_number: '761493'
  name: 5G Development and validation platform for global industry-specific network
    services and Apps
- _id: '1'
  name: SFB 901
- _id: '4'
  name: SFB 901 - Project Area C
- _id: '16'
  name: SFB 901 - Subproject C4
publication: IEEE Conference on Network Function Virtualization and Software Defined
  Networks (NFV-SDN)
publisher: IEEE
status: public
title: 'FOP4: Function Offloading Prototyping in Heterogeneous and Programmable Network
  Scenarios'
type: conference
user_id: '13271'
year: '2019'
...
---
_id: '15374'
abstract:
- lang: eng
  text: Emulation platforms supporting Virtual Network Functions (VNFs) allow developers
    to rapidly prototype network services. None of the available platforms, however,
    supports experimenting with programmable data planes to enable VNF offloading.
    In this demonstration, we show FOP4, a flexible platform that provides support
    for Docker-based VNFs, and VNF offloading, by means of P4-enabled switches. The
    platform provides interfaces to program the P4 devices and to deploy network functions.
    We demonstrate FOP4 with two complex example scenarios, demonstrating how developers
    can exploit data plane programmability to implement network functions.
author:
- first_name: Daniele
  full_name: Moro, Daniele
  last_name: Moro
- first_name: Manuel
  full_name: Peuster, Manuel
  id: '13271'
  last_name: Peuster
- first_name: Holger
  full_name: Karl, Holger
  id: '126'
  last_name: Karl
- first_name: Antonio
  full_name: Capone, Antonio
  last_name: Capone
citation:
  ama: 'Moro D, Peuster M, Karl H, Capone A. Demonstrating FOP4: A Flexible Platform
    to Prototype NFV Offloading Scenarios. In: <i>IEEE Conference on Network Function
    Virtualization and Software Defined Networks (NFV-SDN)</i>. Dallas: IEEE; 2019.'
  apa: 'Moro, D., Peuster, M., Karl, H., &#38; Capone, A. (2019). Demonstrating FOP4:
    A Flexible Platform to Prototype NFV Offloading Scenarios. In <i>IEEE Conference
    on Network Function Virtualization and Software Defined Networks (NFV-SDN)</i>.
    Dallas: IEEE.'
  bibtex: '@inproceedings{Moro_Peuster_Karl_Capone_2019, place={Dallas}, title={Demonstrating
    FOP4: A Flexible Platform to Prototype NFV Offloading Scenarios}, booktitle={IEEE
    Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)},
    publisher={IEEE}, author={Moro, Daniele and Peuster, Manuel and Karl, Holger and
    Capone, Antonio}, year={2019} }'
  chicago: 'Moro, Daniele, Manuel Peuster, Holger Karl, and Antonio Capone. “Demonstrating
    FOP4: A Flexible Platform to Prototype NFV Offloading Scenarios.” In <i>IEEE Conference
    on Network Function Virtualization and Software Defined Networks (NFV-SDN)</i>.
    Dallas: IEEE, 2019.'
  ieee: 'D. Moro, M. Peuster, H. Karl, and A. Capone, “Demonstrating FOP4: A Flexible
    Platform to Prototype NFV Offloading Scenarios,” in <i>IEEE Conference on Network
    Function Virtualization and Software Defined Networks (NFV-SDN)</i>, 2019.'
  mla: 'Moro, Daniele, et al. “Demonstrating FOP4: A Flexible Platform to Prototype
    NFV Offloading Scenarios.” <i>IEEE Conference on Network Function Virtualization
    and Software Defined Networks (NFV-SDN)</i>, IEEE, 2019.'
  short: 'D. Moro, M. Peuster, H. Karl, A. Capone, in: IEEE Conference on Network
    Function Virtualization and Software Defined Networks (NFV-SDN), IEEE, Dallas,
    2019.'
date_created: 2019-12-18T07:41:21Z
date_updated: 2022-01-06T06:52:22Z
ddc:
- '000'
department:
- _id: '75'
file:
- access_level: open_access
  content_type: application/pdf
  creator: peuster
  date_created: 2019-12-18T08:12:28Z
  date_updated: 2019-12-18T08:12:28Z
  file_id: '15379'
  file_name: main_for_ris.pdf
  file_size: 370456
  relation: main_file
file_date_updated: 2019-12-18T08:12:28Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
place: Dallas
project:
- _id: '1'
  name: SFB 901
- _id: '4'
  name: SFB 901 - Project Area C
- _id: '16'
  name: SFB 901 - Subproject C4
publication: IEEE Conference on Network Function Virtualization and Software Defined
  Networks (NFV-SDN)
publisher: IEEE
status: public
title: 'Demonstrating FOP4: A Flexible Platform to Prototype NFV Offloading Scenarios'
type: conference
user_id: '13271'
year: '2019'
...
---
_id: '15416'
author:
- first_name: Jochen
  full_name: Jochen Baumeister
  id: '46'
  last_name: Baumeister
  orcid: 0000-0003-2683-5826
citation:
  ama: Baumeister J. New Quick And Easy Publication - Will be edited by LibreCat team.
    <i>Quick And Easy Journal Title</i>. 2019.
  apa: Baumeister, J. (2019). New Quick And Easy Publication - Will be edited by LibreCat
    team. <i>Quick And Easy Journal Title</i>.
  bibtex: '@article{Baumeister_2019, title={New Quick And Easy Publication - Will
    be edited by LibreCat team}, journal={Quick And Easy Journal Title}, author={Baumeister,
    Jochen}, year={2019} }'
  chicago: Baumeister, Jochen. “New Quick And Easy Publication - Will Be Edited by
    LibreCat Team.” <i>Quick And Easy Journal Title</i>, 2019.
  ieee: J. Baumeister, “New Quick And Easy Publication - Will be edited by LibreCat
    team,” <i>Quick And Easy Journal Title</i>, 2019.
  mla: Baumeister, Jochen. “New Quick And Easy Publication - Will Be Edited by LibreCat
    Team.” <i>Quick And Easy Journal Title</i>, 2019.
  short: J. Baumeister, Quick And Easy Journal Title (2019).
date_created: 2019-12-28T16:52:41Z
date_updated: 2022-01-06T06:52:25Z
file:
- access_level: open_access
  content_type: application/pdf
  creator: jochenb
  date_created: 2019-12-28T16:52:29Z
  date_updated: 2019-12-28T16:52:29Z
  file_id: '15417'
  file_name: CV_Baumeister_engl_long.pdf
  file_size: 101175
  relation: main_file
file_date_updated: 2019-12-28T16:52:29Z
has_accepted_license: 1
oa: '1'
publication: Quick And Easy Journal Title
status: public
title: New Quick And Easy Publication - Will be edited by LibreCat team
type: journal_article
user_id: '46'
year: '2019'
...
---
_id: '15812'
abstract:
- lang: eng
  text: Connectionist temporal classification (CTC) is a sequence-level loss that
    has been successfully applied to train recurrent neural network (RNN) models for
    automatic speech recognition. However, one major weakness of CTC is the conditional
    independence assumption that makes it difficult for the model to learn label dependencies.
    In this paper, we propose stimulated CTC, which uses stimulated learning to help
    CTC models learn label dependencies implicitly by using an auxiliary RNN to generate
    the appropriate stimuli. This stimuli comes in the form of an additional stimulation
    loss term which encourages the model to learn said label dependencies. The auxiliary
    network is only used during training and the inference model has the same structure
    as a standard CTC model. The proposed stimulated CTC model achieves about 35%
    relative character error rate improvements on a synthetic gesture keyboard recognition
    task and over 30% relative word error rate improvements on the Librispeech automatic
    speech recognition tasks over a baseline model trained with CTC only.
author:
- first_name: Jahn
  full_name: Heymann, Jahn
  last_name: Heymann
- first_name: Bo Li
  full_name: Khe Chai Sim, Bo Li
  last_name: Khe Chai Sim
citation:
  ama: 'Heymann J, Khe Chai Sim BL. Improving CTC Using Stimulated Learning for Sequence
    Modeling. In: <i>ICASSP 2019, Brighton, UK</i>. ; 2019.'
  apa: Heymann, J., &#38; Khe Chai Sim, B. L. (2019). Improving CTC Using Stimulated
    Learning for Sequence Modeling. In <i>ICASSP 2019, Brighton, UK</i>.
  bibtex: '@inproceedings{Heymann_Khe Chai Sim_2019, title={Improving CTC Using Stimulated
    Learning for Sequence Modeling}, booktitle={ICASSP 2019, Brighton, UK}, author={Heymann,
    Jahn and Khe Chai Sim, Bo Li}, year={2019} }'
  chicago: Heymann, Jahn, and Bo Li Khe Chai Sim. “Improving CTC Using Stimulated
    Learning for Sequence Modeling.” In <i>ICASSP 2019, Brighton, UK</i>, 2019.
  ieee: J. Heymann and B. L. Khe Chai Sim, “Improving CTC Using Stimulated Learning
    for Sequence Modeling,” in <i>ICASSP 2019, Brighton, UK</i>, 2019.
  mla: Heymann, Jahn, and Bo Li Khe Chai Sim. “Improving CTC Using Stimulated Learning
    for Sequence Modeling.” <i>ICASSP 2019, Brighton, UK</i>, 2019.
  short: 'J. Heymann, B.L. Khe Chai Sim, in: ICASSP 2019, Brighton, UK, 2019.'
date_created: 2020-02-06T07:22:47Z
date_updated: 2022-01-06T06:52:35Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: open_access
  content_type: application/pdf
  creator: huesera
  date_created: 2020-02-06T07:24:26Z
  date_updated: 2020-02-06T07:24:26Z
  file_id: '15813'
  file_name: ICASSP_2019_Heymann_1_Paper.pdf
  file_size: 239665
  relation: main_file
file_date_updated: 2020-02-06T07:24:26Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: ICASSP 2019, Brighton, UK
status: public
title: Improving CTC Using Stimulated Learning for Sequence Modeling
type: conference
user_id: '59789'
year: '2019'
...
---
_id: '15816'
abstract:
- lang: eng
  text: 'Despite the strong modeling power of neural network acoustic models, speech
    enhancement has been shown to deliver additional word error rate improvements
    if multi-channel data is available. However, there has been a longstanding debate
    whether enhancement should also be carried out on the ASR training data. In an
    extensive experimental evaluation on the acoustically very challenging CHiME-5
    dinner party data we show that: (i) cleaning up the training data can lead to
    substantial error rate reductions, and (ii) enhancement in training is advisable
    as long as enhancement in test is at least as strong as in training. This approach
    stands in contrast and delivers larger gains than the common strategy reported
    in the literature to augment the training database with additional artificially
    degraded speech. Together with an acoustic model topology consisting of initial
    CNN layers followed by factorized TDNN layers we achieve with 41.6% and 43.2%
    WER on the DEV and EVAL test sets, respectively, a new single-system state-of-the-art
    result on the CHiME-5 data. This is a 8% relative improvement compared to the
    best word error rate published so far for a speech recognizer without system combination.'
author:
- first_name: Catalin
  full_name: Zorila, Catalin
  last_name: Zorila
- first_name: Christoph
  full_name: Boeddeker, Christoph
  id: '40767'
  last_name: Boeddeker
- first_name: Rama
  full_name: Doddipatla, Rama
  last_name: Doddipatla
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Zorila C, Boeddeker C, Doddipatla R, Haeb-Umbach R. An Investigation Into
    the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party
    Transcription. In: <i>ASRU 2019, Sentosa, Singapore</i>. ; 2019.'
  apa: Zorila, C., Boeddeker, C., Doddipatla, R., &#38; Haeb-Umbach, R. (2019). An
    Investigation Into the Effectiveness of Enhancement in ASR Training and Test for
    Chime-5 Dinner Party Transcription. In <i>ASRU 2019, Sentosa, Singapore</i>.
  bibtex: '@inproceedings{Zorila_Boeddeker_Doddipatla_Haeb-Umbach_2019, title={An
    Investigation Into the Effectiveness of Enhancement in ASR Training and Test for
    Chime-5 Dinner Party Transcription}, booktitle={ASRU 2019, Sentosa, Singapore},
    author={Zorila, Catalin and Boeddeker, Christoph and Doddipatla, Rama and Haeb-Umbach,
    Reinhold}, year={2019} }'
  chicago: Zorila, Catalin, Christoph Boeddeker, Rama Doddipatla, and Reinhold Haeb-Umbach.
    “An Investigation Into the Effectiveness of Enhancement in ASR Training and Test
    for Chime-5 Dinner Party Transcription.” In <i>ASRU 2019, Sentosa, Singapore</i>,
    2019.
  ieee: C. Zorila, C. Boeddeker, R. Doddipatla, and R. Haeb-Umbach, “An Investigation
    Into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner
    Party Transcription,” in <i>ASRU 2019, Sentosa, Singapore</i>, 2019.
  mla: Zorila, Catalin, et al. “An Investigation Into the Effectiveness of Enhancement
    in ASR Training and Test for Chime-5 Dinner Party Transcription.” <i>ASRU 2019,
    Sentosa, Singapore</i>, 2019.
  short: 'C. Zorila, C. Boeddeker, R. Doddipatla, R. Haeb-Umbach, in: ASRU 2019, Sentosa,
    Singapore, 2019.'
date_created: 2020-02-06T07:35:08Z
date_updated: 2022-01-06T06:52:37Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: open_access
  content_type: application/pdf
  creator: huesera
  date_created: 2020-02-06T07:42:42Z
  date_updated: 2020-02-06T07:42:42Z
  file_id: '15817'
  file_name: ASRU_2019_Boeddeker_Paper.pdf
  file_size: 200256
  relation: main_file
- access_level: open_access
  content_type: application/pdf
  creator: huesera
  date_created: 2020-02-06T07:42:55Z
  date_updated: 2020-02-06T07:42:55Z
  file_id: '15818'
  file_name: ASRU_2019_Boeddeker_Poster.pdf
  file_size: 123963
  relation: main_file
file_date_updated: 2020-02-06T07:42:55Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: ASRU 2019, Sentosa, Singapore
status: public
title: An Investigation Into the Effectiveness of Enhancement in ASR Training and
  Test for Chime-5 Dinner Party Transcription
type: conference
user_id: '59789'
year: '2019'
...
---
_id: '15908'
author:
- first_name: Jens
  full_name: Müller, Jens
  last_name: Müller
- first_name: Marcus
  full_name: Brinkmann, Marcus
  last_name: Brinkmann
- first_name: Damian
  full_name: Poddebniak, Damian
  last_name: Poddebniak
- first_name: Hanno
  full_name: Böck, Hanno
  last_name: Böck
- first_name: Sebastian
  full_name: Schinzel, Sebastian
  last_name: Schinzel
- first_name: Juraj
  full_name: Somorovsky, Juraj
  id: '83504'
  last_name: Somorovsky
  orcid: 0000-0002-3593-7720
- first_name: Jörg
  full_name: Schwenk, Jörg
  last_name: Schwenk
citation:
  ama: 'Müller J, Brinkmann M, Poddebniak D, et al. “Johnny, you are fired!” -- Spoofing
    OpenPGP and S/MIME Signatures in Emails. In: <i>28th {USENIX} Security Symposium
    ({USENIX} Security 19)</i>. Santa Clara, CA: {USENIX} Association; 2019:1011-1028.'
  apa: 'Müller, J., Brinkmann, M., Poddebniak, D., Böck, H., Schinzel, S., Somorovsky,
    J., &#38; Schwenk, J. (2019). “Johnny, you are fired!” -- Spoofing OpenPGP and
    S/MIME Signatures in Emails. In <i>28th {USENIX} Security Symposium ({USENIX}
    Security 19)</i> (pp. 1011–1028). Santa Clara, CA: {USENIX} Association.'
  bibtex: '@inproceedings{Müller_Brinkmann_Poddebniak_Böck_Schinzel_Somorovsky_Schwenk_2019,
    place={Santa Clara, CA}, title={“Johnny, you are fired!” -- Spoofing OpenPGP and
    S/MIME Signatures in Emails}, booktitle={28th {USENIX} Security Symposium ({USENIX}
    Security 19)}, publisher={{USENIX} Association}, author={Müller, Jens and Brinkmann,
    Marcus and Poddebniak, Damian and Böck, Hanno and Schinzel, Sebastian and Somorovsky,
    Juraj and Schwenk, Jörg}, year={2019}, pages={1011–1028} }'
  chicago: 'Müller, Jens, Marcus Brinkmann, Damian Poddebniak, Hanno Böck, Sebastian
    Schinzel, Juraj Somorovsky, and Jörg Schwenk. “‘Johnny, You Are Fired!’ -- Spoofing
    OpenPGP and S/MIME Signatures in Emails.” In <i>28th {USENIX} Security Symposium
    ({USENIX} Security 19)</i>, 1011–28. Santa Clara, CA: {USENIX} Association, 2019.'
  ieee: J. Müller <i>et al.</i>, “‘Johnny, you are fired!’ -- Spoofing OpenPGP and
    S/MIME Signatures in Emails,” in <i>28th {USENIX} Security Symposium ({USENIX}
    Security 19)</i>, 2019, pp. 1011–1028.
  mla: Müller, Jens, et al. “‘Johnny, You Are Fired!’ -- Spoofing OpenPGP and S/MIME
    Signatures in Emails.” <i>28th {USENIX} Security Symposium ({USENIX} Security
    19)</i>, {USENIX} Association, 2019, pp. 1011–28.
  short: 'J. Müller, M. Brinkmann, D. Poddebniak, H. Böck, S. Schinzel, J. Somorovsky,
    J. Schwenk, in: 28th {USENIX} Security Symposium ({USENIX} Security 19), {USENIX}
    Association, Santa Clara, CA, 2019, pp. 1011–1028.'
date_created: 2020-02-15T09:50:57Z
date_updated: 2022-01-06T06:52:40Z
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.usenix.org/conference/usenixsecurity19/presentation/muller
oa: '1'
page: 1011-1028
place: Santa Clara, CA
publication: 28th {USENIX} Security Symposium ({USENIX} Security 19)
publication_identifier:
  isbn:
  - 978-1-939133-06-9
publisher: '{USENIX} Association'
status: public
title: '"Johnny, you are fired!" -- Spoofing OpenPGP and S/MIME Signatures in Emails'
type: conference
user_id: '83504'
year: '2019'
...
---
_id: '15909'
author:
- first_name: Robert
  full_name: Merget, Robert
  last_name: Merget
- first_name: Juraj
  full_name: Somorovsky, Juraj
  id: '83504'
  last_name: Somorovsky
  orcid: 0000-0002-3593-7720
- first_name: Nimrod
  full_name: Aviram, Nimrod
  last_name: Aviram
- first_name: Craig
  full_name: Young, Craig
  last_name: Young
- first_name: Janis
  full_name: Fliegenschmidt, Janis
  last_name: Fliegenschmidt
- first_name: Jörg
  full_name: Schwenk, Jörg
  last_name: Schwenk
- first_name: Yuval
  full_name: Shavitt, Yuval
  last_name: Shavitt
citation:
  ama: 'Merget R, Somorovsky J, Aviram N, et al. Scalable Scanning and Automatic Classification
    of TLS Padding Oracle Vulnerabilities. In: <i>28th {USENIX} Security Symposium
    ({USENIX} Security 19)</i>. Santa Clara, CA: {USENIX} Association; 2019:1029-1046.'
  apa: 'Merget, R., Somorovsky, J., Aviram, N., Young, C., Fliegenschmidt, J., Schwenk,
    J., &#38; Shavitt, Y. (2019). Scalable Scanning and Automatic Classification of
    TLS Padding Oracle Vulnerabilities. In <i>28th {USENIX} Security Symposium ({USENIX}
    Security 19)</i> (pp. 1029–1046). Santa Clara, CA: {USENIX} Association.'
  bibtex: '@inproceedings{Merget_Somorovsky_Aviram_Young_Fliegenschmidt_Schwenk_Shavitt_2019,
    place={Santa Clara, CA}, title={Scalable Scanning and Automatic Classification
    of TLS Padding Oracle Vulnerabilities}, booktitle={28th {USENIX} Security Symposium
    ({USENIX} Security 19)}, publisher={{USENIX} Association}, author={Merget, Robert
    and Somorovsky, Juraj and Aviram, Nimrod and Young, Craig and Fliegenschmidt,
    Janis and Schwenk, Jörg and Shavitt, Yuval}, year={2019}, pages={1029–1046} }'
  chicago: 'Merget, Robert, Juraj Somorovsky, Nimrod Aviram, Craig Young, Janis Fliegenschmidt,
    Jörg Schwenk, and Yuval Shavitt. “Scalable Scanning and Automatic Classification
    of TLS Padding Oracle Vulnerabilities.” In <i>28th {USENIX} Security Symposium
    ({USENIX} Security 19)</i>, 1029–46. Santa Clara, CA: {USENIX} Association, 2019.'
  ieee: R. Merget <i>et al.</i>, “Scalable Scanning and Automatic Classification of
    TLS Padding Oracle Vulnerabilities,” in <i>28th {USENIX} Security Symposium ({USENIX}
    Security 19)</i>, 2019, pp. 1029–1046.
  mla: Merget, Robert, et al. “Scalable Scanning and Automatic Classification of TLS
    Padding Oracle Vulnerabilities.” <i>28th {USENIX} Security Symposium ({USENIX}
    Security 19)</i>, {USENIX} Association, 2019, pp. 1029–46.
  short: 'R. Merget, J. Somorovsky, N. Aviram, C. Young, J. Fliegenschmidt, J. Schwenk,
    Y. Shavitt, in: 28th {USENIX} Security Symposium ({USENIX} Security 19), {USENIX}
    Association, Santa Clara, CA, 2019, pp. 1029–1046.'
date_created: 2020-02-15T09:51:09Z
date_updated: 2022-01-06T06:52:40Z
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.usenix.org/conference/usenixsecurity19/presentation/merget
oa: '1'
page: 1029-1046
place: Santa Clara, CA
publication: 28th {USENIX} Security Symposium ({USENIX} Security 19)
publication_identifier:
  isbn:
  - 978-1-939133-06-9
publisher: '{USENIX} Association'
status: public
title: Scalable Scanning and Automatic Classification of TLS Padding Oracle Vulnerabilities
type: conference
user_id: '83504'
year: '2019'
...