---
_id: '3873'
author:
- first_name: Johannes
  full_name: Blömer, Johannes
  id: '23'
  last_name: Blömer
- first_name: Fabian
  full_name: Eidens, Fabian
  id: '25078'
  last_name: Eidens
- first_name: Jakob
  full_name: Juhnke, Jakob
  id: '48090'
  last_name: Juhnke
citation:
  ama: 'Blömer J, Eidens F, Juhnke J. Enhanced Security of Attribute-Based Signatures.
    In: <i>The International Conference on Cryptology And Network Security (CANS)</i>.
    Vol 11124. Lecture Notes in Computer Science. Springer; 2018:235-255. doi:<a href="https://doi.org/10.1007/978-3-030-00434-7_12">10.1007/978-3-030-00434-7_12</a>'
  apa: Blömer, J., Eidens, F., &#38; Juhnke, J. (2018). Enhanced Security of Attribute-Based
    Signatures. <i>The International Conference on Cryptology And Network Security
    (CANS)</i>, <i>11124</i>, 235–255. <a href="https://doi.org/10.1007/978-3-030-00434-7_12">https://doi.org/10.1007/978-3-030-00434-7_12</a>
  bibtex: '@inproceedings{Blömer_Eidens_Juhnke_2018, series={Lecture Notes in Computer
    Science}, title={Enhanced Security of Attribute-Based Signatures}, volume={11124},
    DOI={<a href="https://doi.org/10.1007/978-3-030-00434-7_12">10.1007/978-3-030-00434-7_12</a>},
    booktitle={The International Conference on Cryptology And Network Security (CANS)},
    publisher={Springer}, author={Blömer, Johannes and Eidens, Fabian and Juhnke,
    Jakob}, year={2018}, pages={235–255}, collection={Lecture Notes in Computer Science}
    }'
  chicago: Blömer, Johannes, Fabian Eidens, and Jakob Juhnke. “Enhanced Security of
    Attribute-Based Signatures.” In <i>The International Conference on Cryptology
    And Network Security (CANS)</i>, 11124:235–55. Lecture Notes in Computer Science.
    Springer, 2018. <a href="https://doi.org/10.1007/978-3-030-00434-7_12">https://doi.org/10.1007/978-3-030-00434-7_12</a>.
  ieee: 'J. Blömer, F. Eidens, and J. Juhnke, “Enhanced Security of Attribute-Based
    Signatures,” in <i>The International Conference on Cryptology And Network Security
    (CANS)</i>, Naples, Italy, 2018, vol. 11124, pp. 235–255, doi: <a href="https://doi.org/10.1007/978-3-030-00434-7_12">10.1007/978-3-030-00434-7_12</a>.'
  mla: Blömer, Johannes, et al. “Enhanced Security of Attribute-Based Signatures.”
    <i>The International Conference on Cryptology And Network Security (CANS)</i>,
    vol. 11124, Springer, 2018, pp. 235–55, doi:<a href="https://doi.org/10.1007/978-3-030-00434-7_12">10.1007/978-3-030-00434-7_12</a>.
  short: 'J. Blömer, F. Eidens, J. Juhnke, in: The International Conference on Cryptology
    And Network Security (CANS), Springer, 2018, pp. 235–255.'
conference:
  location: Naples, Italy
  name: The International Conference on Cryptology And Network Security (CANS)
date_created: 2018-08-10T09:44:09Z
date_updated: 2023-01-10T10:26:13Z
ddc:
- '000'
department:
- _id: '64'
doi: 10.1007/978-3-030-00434-7_12
file:
- access_level: closed
  content_type: application/pdf
  creator: feidens
  date_created: 2018-11-08T10:15:00Z
  date_updated: 2018-11-08T10:15:00Z
  file_id: '5427'
  file_name: uc_abs.pdf
  file_size: 574228
  relation: main_file
file_date_updated: 2018-11-08T10:15:00Z
has_accepted_license: '1'
intvolume: '     11124'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://eprint.iacr.org/2018/874
oa: '1'
page: 235-255
project:
- _id: '4'
  name: SFB 901 - Project Area C
- _id: '13'
  name: SFB 901 - Subproject C1
- _id: '1'
  name: SFB 901
publication: The International Conference on Cryptology And Network Security (CANS)
publication_identifier:
  isbn:
  - 978-3-030-00434-7
publication_status: published
publisher: Springer
series_title: Lecture Notes in Computer Science
status: public
title: Enhanced Security of Attribute-Based Signatures
type: conference
user_id: '25078'
volume: 11124
year: '2018'
...
---
_id: '2379'
abstract:
- lang: eng
  text: 'In this paper, we introduce the notion of delegatable attribute-based anonymous
    credentials (DAAC). Such systems offer fine-grained anonymous access control and
    they give the credential holder the ability to issue more restricted credentials
    to other users. In our model, credentials are parameterized with attributes that
    (1) express what the credential holder himself has been certified and (2) define
    which attributes he may issue to others. Furthermore, we present a practical construction
    of DAAC. For this construction, we deviate from the usual approach of embedding
    a certificate chain in the credential. Instead, we introduce a novel approach
    for which we identify a new primitive we call dynamically malleable signatures
    (DMS) as the main ingredient. This primitive may be of independent interest. We
    also give a first instantiation of DMS with efficient protocols. '
author:
- first_name: Johannes
  full_name: Blömer, Johannes
  id: '23'
  last_name: Blömer
- first_name: Jan
  full_name: Bobolz, Jan
  id: '27207'
  last_name: Bobolz
citation:
  ama: 'Blömer J, Bobolz J. Delegatable Attribute-based Anonymous Credentials from
    Dynamically Malleable Signatures. In: <i>ACNS 2018 Applied Cryptography &#38;
    Network Security</i>. LNCS. doi:<a href="https://doi.org/10.1007/978-3-319-93387-0_12">10.1007/978-3-319-93387-0_12</a>'
  apa: Blömer, J., &#38; Bobolz, J. (n.d.). Delegatable Attribute-based Anonymous
    Credentials from Dynamically Malleable Signatures. <i>ACNS 2018 Applied Cryptography
    &#38; Network Security</i>. The 16th International Conference on Applied Cryptography
    and Network Security, Leuven, Belgium. <a href="https://doi.org/10.1007/978-3-319-93387-0_12">https://doi.org/10.1007/978-3-319-93387-0_12</a>
  bibtex: '@inproceedings{Blömer_Bobolz, series={LNCS}, title={Delegatable Attribute-based
    Anonymous Credentials from Dynamically Malleable Signatures}, DOI={<a href="https://doi.org/10.1007/978-3-319-93387-0_12">10.1007/978-3-319-93387-0_12</a>},
    booktitle={ACNS 2018 Applied Cryptography &#38; Network security}, author={Blömer,
    Johannes and Bobolz, Jan}, collection={LNCS} }'
  chicago: Blömer, Johannes, and Jan Bobolz. “Delegatable Attribute-Based Anonymous
    Credentials from Dynamically Malleable Signatures.” In <i>ACNS 2018 Applied Cryptography
    &#38; Network Security</i>. LNCS, n.d. <a href="https://doi.org/10.1007/978-3-319-93387-0_12">https://doi.org/10.1007/978-3-319-93387-0_12</a>.
  ieee: 'J. Blömer and J. Bobolz, “Delegatable Attribute-based Anonymous Credentials
    from Dynamically Malleable Signatures,” presented at the The 16th International
    Conference on Applied Cryptography and Network Security, Leuven, Belgium, doi:
    <a href="https://doi.org/10.1007/978-3-319-93387-0_12">10.1007/978-3-319-93387-0_12</a>.'
  mla: Blömer, Johannes, and Jan Bobolz. “Delegatable Attribute-Based Anonymous Credentials
    from Dynamically Malleable Signatures.” <i>ACNS 2018 Applied Cryptography &#38;
    Network Security</i>, doi:<a href="https://doi.org/10.1007/978-3-319-93387-0_12">10.1007/978-3-319-93387-0_12</a>.
  short: 'J. Blömer, J. Bobolz, in: ACNS 2018 Applied Cryptography &#38; Network Security,
    n.d.'
conference:
  location: Leuven, Belgium
  name: The 16th International Conference on Applied Cryptography and Network Security
date_created: 2018-04-17T12:28:25Z
date_updated: 2023-01-10T10:28:43Z
ddc:
- '004'
department:
- _id: '7'
- _id: '64'
doi: 10.1007/978-3-319-93387-0_12
file:
- access_level: closed
  content_type: application/pdf
  creator: ups
  date_created: 2018-11-02T13:41:16Z
  date_updated: 2018-11-02T13:41:16Z
  file_id: '5252'
  file_name: 2018-340.pdf
  file_size: 542171
  relation: main_file
  success: 1
file_date_updated: 2018-11-02T13:41:16Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://eprint.iacr.org/2018/340
oa: '1'
project:
- _id: '4'
  name: SFB 901 - Project Area C
- _id: '1'
  name: SFB 901
- _id: '13'
  name: SFB 901 - Subproject C1
publication: ACNS 2018 Applied Cryptography & Network security
publication_status: accepted
series_title: LNCS
status: public
title: Delegatable Attribute-based Anonymous Credentials from Dynamically Malleable
  Signatures
type: conference
user_id: '25078'
year: '2018'
...
---
_id: '24197'
abstract:
- lang: eng
  text: A monolithically integrated coherent receiver in silicon photonic technology
    is presented along with measurement results for constellation diagrams up to 64GBd
    and bandwidth of 34 GHz. To our knowledge this is the fastest single-chip coherent
    receiver.
author:
- first_name: Christian
  full_name: Kress, Christian
  id: '13256'
  last_name: Kress
- first_name: Sergiy
  full_name: Gudyriev, Sergiy
  last_name: Gudyriev
- first_name: Heiner
  full_name: Zwickel, Heiner
  last_name: Zwickel
- first_name: Juned N.
  full_name: Kemal, Juned N.
  last_name: Kemal
- first_name: Stefan
  full_name: Lischke, Stefan
  last_name: Lischke
- first_name: Lars
  full_name: Zimmermann, Lars
  last_name: Zimmermann
- first_name: Christian
  full_name: Koos, Christian
  last_name: Koos
- first_name: Christoph
  full_name: Scheytt, Christoph
  id: '37144'
  last_name: Scheytt
  orcid: https://orcid.org/0000-0002-5950-6618
citation:
  ama: 'Kress C, Gudyriev S, Zwickel H, et al. 64 GBd Monolithically Integrated Coherent
    QPSK Single Polarization Receiver in 0.25 µm SiGe-Photonic Technology. In: <i>Optical
    Fiber Communication Conference 2018, San Diego</i>. Vol Th4A.6. ; 2018.'
  apa: Kress, C., Gudyriev, S., Zwickel, H., Kemal, J. N., Lischke, S., Zimmermann,
    L., Koos, C., &#38; Scheytt, C. (2018). 64 GBd Monolithically Integrated Coherent
    QPSK Single Polarization Receiver in 0.25 µm SiGe-Photonic Technology. <i>Optical
    Fiber Communication Conference 2018, San Diego</i>, <i>Th4A.6</i>.
  bibtex: '@inproceedings{Kress_Gudyriev_Zwickel_Kemal_Lischke_Zimmermann_Koos_Scheytt_2018,
    title={64 GBd Monolithically Integrated Coherent QPSK Single Polarization Receiver
    in 0.25 µm SiGe-Photonic Technology}, volume={Th4A.6}, booktitle={Optical Fiber
    Communication Conference 2018, San Diego}, author={Kress, Christian and Gudyriev,
    Sergiy and Zwickel, Heiner and Kemal, Juned N. and Lischke, Stefan and Zimmermann,
    Lars and Koos, Christian and Scheytt, Christoph}, year={2018} }'
  chicago: Kress, Christian, Sergiy Gudyriev, Heiner Zwickel, Juned N. Kemal, Stefan
    Lischke, Lars Zimmermann, Christian Koos, and Christoph Scheytt. “64 GBd Monolithically
    Integrated Coherent QPSK Single Polarization Receiver in 0.25 Μm SiGe-Photonic
    Technology.” In <i>Optical Fiber Communication Conference 2018, San Diego</i>,
    Vol. Th4A.6, 2018.
  ieee: C. Kress <i>et al.</i>, “64 GBd Monolithically Integrated Coherent QPSK Single
    Polarization Receiver in 0.25 µm SiGe-Photonic Technology,” in <i>Optical Fiber
    Communication Conference 2018, San Diego</i>, San Diego, CA, USA , 2018, vol.
    Th4A.6.
  mla: Kress, Christian, et al. “64 GBd Monolithically Integrated Coherent QPSK Single
    Polarization Receiver in 0.25 Μm SiGe-Photonic Technology.” <i>Optical Fiber Communication
    Conference 2018, San Diego</i>, vol. Th4A.6, 2018.
  short: 'C. Kress, S. Gudyriev, H. Zwickel, J.N. Kemal, S. Lischke, L. Zimmermann,
    C. Koos, C. Scheytt, in: Optical Fiber Communication Conference 2018, San Diego,
    2018.'
conference:
  end_date: 2018.03.15
  location: 'San Diego, CA, USA '
  start_date: 2018.03.11
date_created: 2021-09-13T07:38:05Z
date_updated: 2023-01-10T13:08:09Z
department:
- _id: '58'
- _id: '230'
language:
- iso: eng
publication: Optical Fiber Communication Conference 2018, San Diego
publication_identifier:
  eisbn:
  - 978-1-943580-38-5
related_material:
  link:
  - relation: confirmation
    url: https://ieeexplore.ieee.org/abstract/document/8386360
status: public
title: 64 GBd Monolithically Integrated Coherent QPSK Single Polarization Receiver
  in 0.25 µm SiGe-Photonic Technology
type: conference
user_id: '15931'
volume: Th4A.6
year: '2018'
...
---
_id: '24189'
author:
- first_name: Sergiy
  full_name: Gudyriev, Sergiy
  last_name: Gudyriev
- first_name: Christian
  full_name: Kress, Christian
  id: '13256'
  last_name: Kress
- first_name: Christoph
  full_name: Scheytt, Christoph
  id: '37144'
  last_name: Scheytt
  orcid: https://orcid.org/0000-0002-5950-6618
citation:
  ama: 'Gudyriev S, Kress C, Scheytt C. Electronic Photonic Integrated Circuits for
    Coherent and Non-Coherent Receivers. In: <i>10th Sino-German Joint Symposium on
    Opto- and Microelectronic Devices and Circuits (SODC 2018)</i>. IEEE; 2018.'
  apa: Gudyriev, S., Kress, C., &#38; Scheytt, C. (2018). Electronic Photonic Integrated
    Circuits for Coherent and Non-Coherent Receivers. <i>10th Sino-German Joint Symposium
    on Opto- and Microelectronic Devices and Circuits (SODC 2018)</i>.
  bibtex: '@inproceedings{Gudyriev_Kress_Scheytt_2018, place={Germany/Aachen}, title={Electronic
    Photonic Integrated Circuits for Coherent and Non-Coherent Receivers}, booktitle={10th
    Sino-German Joint Symposium on Opto- and Microelectronic Devices and Circuits
    (SODC 2018)}, publisher={IEEE}, author={Gudyriev, Sergiy and Kress, Christian
    and Scheytt, Christoph}, year={2018} }'
  chicago: 'Gudyriev, Sergiy, Christian Kress, and Christoph Scheytt. “Electronic
    Photonic Integrated Circuits for Coherent and Non-Coherent Receivers.” In <i>10th
    Sino-German Joint Symposium on Opto- and Microelectronic Devices and Circuits
    (SODC 2018)</i>. Germany/Aachen: IEEE, 2018.'
  ieee: S. Gudyriev, C. Kress, and C. Scheytt, “Electronic Photonic Integrated Circuits
    for Coherent and Non-Coherent Receivers,” 2018.
  mla: Gudyriev, Sergiy, et al. “Electronic Photonic Integrated Circuits for Coherent
    and Non-Coherent Receivers.” <i>10th Sino-German Joint Symposium on Opto- and
    Microelectronic Devices and Circuits (SODC 2018)</i>, IEEE, 2018.
  short: 'S. Gudyriev, C. Kress, C. Scheytt, in: 10th Sino-German Joint Symposium
    on Opto- and Microelectronic Devices and Circuits (SODC 2018), IEEE, Germany/Aachen,
    2018.'
conference:
  end_date: 2018.09.19
  start_date: 2018.09.17
date_created: 2021-09-13T07:37:54Z
date_updated: 2023-01-10T13:06:13Z
department:
- _id: '58'
- _id: '230'
language:
- iso: eng
place: Germany/Aachen
publication: 10th Sino-German Joint Symposium on Opto- and Microelectronic Devices
  and Circuits (SODC 2018)
publisher: IEEE
related_material:
  link:
  - relation: confirmation
    url: http://www.iph.rwth-aachen.de/wp-content/uploads/SODC-2018-Program-General-Public.pdf
status: public
title: Electronic Photonic Integrated Circuits for Coherent and Non-Coherent Receivers
type: conference
user_id: '15931'
year: '2018'
...
---
_id: '24188'
author:
- first_name: Christoph
  full_name: Scheytt, Christoph
  id: '37144'
  last_name: Scheytt
  orcid: https://orcid.org/0000-0002-5950-6618
citation:
  ama: 'Scheytt C. Ultra‐broadband Signal Processing by means of Electronic‐Photonic
    Integration. In: <i>10th Sino-German Joint Symposium on Opto- and Microelectronic
    Devices and Circuits (SODC 2018)</i>. IEEE; 2018.'
  apa: Scheytt, C. (2018). Ultra‐broadband Signal Processing by means of Electronic‐Photonic
    Integration. <i>10th Sino-German Joint Symposium on Opto- and Microelectronic
    Devices and Circuits (SODC 2018)</i>.
  bibtex: '@inproceedings{Scheytt_2018, place={Germany/Aachen}, title={Ultra‐broadband
    Signal Processing by means of Electronic‐Photonic Integration}, booktitle={10th
    Sino-German Joint Symposium on Opto- and Microelectronic Devices and Circuits
    (SODC 2018)}, publisher={IEEE}, author={Scheytt, Christoph}, year={2018} }'
  chicago: 'Scheytt, Christoph. “Ultra‐broadband Signal Processing by Means of Electronic‐Photonic
    Integration.” In <i>10th Sino-German Joint Symposium on Opto- and Microelectronic
    Devices and Circuits (SODC 2018)</i>. Germany/Aachen: IEEE, 2018.'
  ieee: C. Scheytt, “Ultra‐broadband Signal Processing by means of Electronic‐Photonic
    Integration,” 2018.
  mla: Scheytt, Christoph. “Ultra‐broadband Signal Processing by Means of Electronic‐Photonic
    Integration.” <i>10th Sino-German Joint Symposium on Opto- and Microelectronic
    Devices and Circuits (SODC 2018)</i>, IEEE, 2018.
  short: 'C. Scheytt, in: 10th Sino-German Joint Symposium on Opto- and Microelectronic
    Devices and Circuits (SODC 2018), IEEE, Germany/Aachen, 2018.'
date_created: 2021-09-13T07:37:53Z
date_updated: 2023-01-10T13:05:12Z
department:
- _id: '58'
- _id: '230'
language:
- iso: eng
place: Germany/Aachen
publication: 10th Sino-German Joint Symposium on Opto- and Microelectronic Devices
  and Circuits (SODC 2018)
publisher: IEEE
related_material:
  link:
  - relation: confirmation
    url: http://www.iph.rwth-aachen.de/?p=2051
status: public
title: Ultra‐broadband Signal Processing by means of Electronic‐Photonic Integration
type: conference
user_id: '15931'
year: '2018'
...
---
_id: '24191'
author:
- first_name: Sergiy
  full_name: Gudyriev, Sergiy
  last_name: Gudyriev
- first_name: Christian
  full_name: Kress, Christian
  id: '13256'
  last_name: Kress
- first_name: Christoph
  full_name: Scheytt, Christoph
  id: '37144'
  last_name: Scheytt
  orcid: https://orcid.org/0000-0002-5950-6618
citation:
  ama: 'Gudyriev S, Kress C, Scheytt C. Electronic‐Photonic Integrated Systems for
    Ultrafast Signal Processing. In: <i>DFG Priority Programme SPP2111</i>. ; 2018.'
  apa: Gudyriev, S., Kress, C., &#38; Scheytt, C. (2018). Electronic‐Photonic Integrated
    Systems for Ultrafast Signal Processing. <i>DFG Priority Programme SPP2111</i>.
  bibtex: '@inproceedings{Gudyriev_Kress_Scheytt_2018, place={Germany/Paderborn},
    title={Electronic‐Photonic Integrated Systems for Ultrafast Signal Processing},
    booktitle={DFG Priority Programme SPP2111}, author={Gudyriev, Sergiy and Kress,
    Christian and Scheytt, Christoph}, year={2018} }'
  chicago: Gudyriev, Sergiy, Christian Kress, and Christoph Scheytt. “Electronic‐Photonic
    Integrated Systems for Ultrafast Signal Processing.” In <i>DFG Priority Programme
    SPP2111</i>. Germany/Paderborn, 2018.
  ieee: S. Gudyriev, C. Kress, and C. Scheytt, “Electronic‐Photonic Integrated Systems
    for Ultrafast Signal Processing,” 2018.
  mla: Gudyriev, Sergiy, et al. “Electronic‐Photonic Integrated Systems for Ultrafast
    Signal Processing.” <i>DFG Priority Programme SPP2111</i>, 2018.
  short: 'S. Gudyriev, C. Kress, C. Scheytt, in: DFG Priority Programme SPP2111, Germany/Paderborn,
    2018.'
date_created: 2021-09-13T07:37:57Z
date_updated: 2023-01-10T13:06:48Z
department:
- _id: '58'
- _id: '230'
language:
- iso: eng
place: Germany/Paderborn
publication: DFG Priority Programme SPP2111
related_material:
  link:
  - relation: confirmation
    url: https://ei.uni-paderborn.de/en/electrical-engineering/studies/electrical-engineering/degree-program/electrical-engineering/electrical-systems-engineering/electrical-engineering/news/electrical-engineering/ese-single/new-priority-program-electronic-photonic-integrated-systems-for-ultrafast-signal-processing
status: public
title: Electronic‐Photonic Integrated Systems for Ultrafast Signal Processing
type: conference
user_id: '15931'
year: '2018'
...
---
_id: '29923'
abstract:
- lang: eng
  text: "This paper introduces a new open source platform for end-toend speech processing
    named ESPnet. ESPnet mainly focuses on end-to-end automatic speech recognition
    (ASR), and adopts widely-used dynamic neural network toolkits, Chainer and Py-Torch,
    as a main deep learning engine. ESPnet also follows the Kaldi ASR toolkit style
    for data processing, feature extraction/format, and recipes to provide a complete
    setup for speech recognition and other speech processing experiments. This paper
    explains a major architecture of this software platform, several important functionalities,
    which differentiate ESPnet from other open source ASR toolkits, and experimental
    results with\r\nmajor ASR benchmarks."
author:
- first_name: Shinji
  full_name: Watanabe, Shinji
  last_name: Watanabe
- first_name: Takaaki
  full_name: Hori, Takaaki
  last_name: Hori
- first_name: Shigeki
  full_name: Karita, Shigeki
  last_name: Karita
- first_name: Tomoki
  full_name: Hayashi, Tomoki
  last_name: Hayashi
- first_name: Jiro
  full_name: Nishitoba, Jiro
  last_name: Nishitoba
- first_name: Yuya
  full_name: Unno, Yuya
  last_name: Unno
- first_name: Nelson
  full_name: Enrique Yalta Soplin, Nelson
  last_name: Enrique Yalta Soplin
- first_name: Jahn
  full_name: Heymann, Jahn
  id: '9168'
  last_name: Heymann
- first_name: Matthew
  full_name: Wiesner, Matthew
  last_name: Wiesner
- first_name: Nanxin
  full_name: Chen, Nanxin
  last_name: Chen
- first_name: Adithya
  full_name: Renduchintala, Adithya
  last_name: Renduchintala
- first_name: Tsubasa
  full_name: Ochiai, Tsubasa
  last_name: Ochiai
citation:
  ama: 'Watanabe S, Hori T, Karita S, et al. ESPnet: End-to-End Speech Processing
    Toolkit. In: <i>INTERSPEECH 2018, Hyderabad, India</i>. ; 2018:2207–2211. doi:<a
    href="https://doi.org/10.21437/Interspeech.2018-1456">10.21437/Interspeech.2018-1456</a>'
  apa: 'Watanabe, S., Hori, T., Karita, S., Hayashi, T., Nishitoba, J., Unno, Y.,
    Enrique Yalta Soplin, N., Heymann, J., Wiesner, M., Chen, N., Renduchintala, A.,
    &#38; Ochiai, T. (2018). ESPnet: End-to-End Speech Processing Toolkit. <i>INTERSPEECH
    2018, Hyderabad, India</i>, 2207–2211. <a href="https://doi.org/10.21437/Interspeech.2018-1456">https://doi.org/10.21437/Interspeech.2018-1456</a>'
  bibtex: '@inproceedings{Watanabe_Hori_Karita_Hayashi_Nishitoba_Unno_Enrique Yalta
    Soplin_Heymann_Wiesner_Chen_et al._2018, title={ESPnet: End-to-End Speech Processing
    Toolkit}, DOI={<a href="https://doi.org/10.21437/Interspeech.2018-1456">10.21437/Interspeech.2018-1456</a>},
    booktitle={INTERSPEECH 2018, Hyderabad, India}, author={Watanabe, Shinji and Hori,
    Takaaki and Karita, Shigeki and Hayashi, Tomoki and Nishitoba, Jiro and Unno,
    Yuya and Enrique Yalta Soplin, Nelson and Heymann, Jahn and Wiesner, Matthew and
    Chen, Nanxin and et al.}, year={2018}, pages={2207–2211} }'
  chicago: 'Watanabe, Shinji, Takaaki Hori, Shigeki Karita, Tomoki Hayashi, Jiro Nishitoba,
    Yuya Unno, Nelson Enrique Yalta Soplin, et al. “ESPnet: End-to-End Speech Processing
    Toolkit.” In <i>INTERSPEECH 2018, Hyderabad, India</i>, 2207–2211, 2018. <a href="https://doi.org/10.21437/Interspeech.2018-1456">https://doi.org/10.21437/Interspeech.2018-1456</a>.'
  ieee: 'S. Watanabe <i>et al.</i>, “ESPnet: End-to-End Speech Processing Toolkit,”
    in <i>INTERSPEECH 2018, Hyderabad, India</i>, 2018, pp. 2207–2211, doi: <a href="https://doi.org/10.21437/Interspeech.2018-1456">10.21437/Interspeech.2018-1456</a>.'
  mla: 'Watanabe, Shinji, et al. “ESPnet: End-to-End Speech Processing Toolkit.” <i>INTERSPEECH
    2018, Hyderabad, India</i>, 2018, pp. 2207–2211, doi:<a href="https://doi.org/10.21437/Interspeech.2018-1456">10.21437/Interspeech.2018-1456</a>.'
  short: 'S. Watanabe, T. Hori, S. Karita, T. Hayashi, J. Nishitoba, Y. Unno, N. Enrique
    Yalta Soplin, J. Heymann, M. Wiesner, N. Chen, A. Renduchintala, T. Ochiai, in:
    INTERSPEECH 2018, Hyderabad, India, 2018, pp. 2207–2211.'
date_created: 2022-02-21T10:34:37Z
date_updated: 2023-01-11T11:23:19Z
ddc:
- '000'
department:
- _id: '54'
doi: 10.21437/Interspeech.2018-1456
file:
- access_level: open_access
  content_type: application/pdf
  creator: huesera
  date_created: 2022-02-23T08:03:13Z
  date_updated: 2022-02-23T08:03:13Z
  file_id: '29954'
  file_name: INTERSPEECH_2018_Heymann_Paper.pdf
  file_size: 288907
  relation: main_file
file_date_updated: 2022-02-23T08:03:13Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
page: 2207–2211
publication: INTERSPEECH 2018, Hyderabad, India
status: public
title: 'ESPnet: End-to-End Speech Processing Toolkit'
type: conference
user_id: '59789'
year: '2018'
...
---
_id: '48303'
author:
- first_name: Ivan
  full_name: Habernal, Ivan
  id: '101881'
  last_name: Habernal
- first_name: Henning
  full_name: Wachsmuth, Henning
  last_name: Wachsmuth
- first_name: Iryna
  full_name: Gurevych, Iryna
  last_name: Gurevych
- first_name: Benno
  full_name: Stein, Benno
  last_name: Stein
citation:
  ama: 'Habernal I, Wachsmuth H, Gurevych I, Stein B. The Argument Reasoning Comprehension
    Task: Identification and            Reconstruction of Implicit Warrants. In: <i>Proceedings
    of the 2018 Conference of the North American Chapter of          the Association
    for Computational Linguistics: Human Language          Technologies, Volume 1
    (Long Papers)</i>. Association for Computational Linguistics; 2018. doi:<a href="https://doi.org/10.18653/v1/n18-1175">10.18653/v1/n18-1175</a>'
  apa: 'Habernal, I., Wachsmuth, H., Gurevych, I., &#38; Stein, B. (2018). The Argument
    Reasoning Comprehension Task: Identification and            Reconstruction of
    Implicit Warrants. <i>Proceedings of the 2018 Conference of the North American
    Chapter of          the Association for Computational Linguistics: Human Language 
            Technologies, Volume 1 (Long Papers)</i>. <a href="https://doi.org/10.18653/v1/n18-1175">https://doi.org/10.18653/v1/n18-1175</a>'
  bibtex: '@inproceedings{Habernal_Wachsmuth_Gurevych_Stein_2018, title={The Argument
    Reasoning Comprehension Task: Identification and            Reconstruction of
    Implicit Warrants}, DOI={<a href="https://doi.org/10.18653/v1/n18-1175">10.18653/v1/n18-1175</a>},
    booktitle={Proceedings of the 2018 Conference of the North American Chapter of 
            the Association for Computational Linguistics: Human Language         
    Technologies, Volume 1 (Long Papers)}, publisher={Association for Computational
    Linguistics}, author={Habernal, Ivan and Wachsmuth, Henning and Gurevych, Iryna
    and Stein, Benno}, year={2018} }'
  chicago: 'Habernal, Ivan, Henning Wachsmuth, Iryna Gurevych, and Benno Stein. “The
    Argument Reasoning Comprehension Task: Identification and            Reconstruction
    of Implicit Warrants.” In <i>Proceedings of the 2018 Conference of the North American
    Chapter of          the Association for Computational Linguistics: Human Language 
            Technologies, Volume 1 (Long Papers)</i>. Association for Computational
    Linguistics, 2018. <a href="https://doi.org/10.18653/v1/n18-1175">https://doi.org/10.18653/v1/n18-1175</a>.'
  ieee: 'I. Habernal, H. Wachsmuth, I. Gurevych, and B. Stein, “The Argument Reasoning
    Comprehension Task: Identification and            Reconstruction of Implicit Warrants,”
    2018, doi: <a href="https://doi.org/10.18653/v1/n18-1175">10.18653/v1/n18-1175</a>.'
  mla: 'Habernal, Ivan, et al. “The Argument Reasoning Comprehension Task: Identification
    and            Reconstruction of Implicit Warrants.” <i>Proceedings of the 2018
    Conference of the North American Chapter of          the Association for Computational
    Linguistics: Human Language          Technologies, Volume 1 (Long Papers)</i>,
    Association for Computational Linguistics, 2018, doi:<a href="https://doi.org/10.18653/v1/n18-1175">10.18653/v1/n18-1175</a>.'
  short: 'I. Habernal, H. Wachsmuth, I. Gurevych, B. Stein, in: Proceedings of the
    2018 Conference of the North American Chapter of          the Association for
    Computational Linguistics: Human Language          Technologies, Volume 1 (Long
    Papers), Association for Computational Linguistics, 2018.'
date_created: 2023-10-19T08:29:43Z
date_updated: 2023-10-19T12:09:02Z
department:
- _id: '34'
- _id: '820'
doi: 10.18653/v1/n18-1175
language:
- iso: eng
publication: 'Proceedings of the 2018 Conference of the North American Chapter of          the
  Association for Computational Linguistics: Human Language          Technologies,
  Volume 1 (Long Papers)'
publication_status: published
publisher: Association for Computational Linguistics
status: public
title: 'The Argument Reasoning Comprehension Task: Identification and            Reconstruction
  of Implicit Warrants'
type: conference
user_id: '15504'
year: '2018'
...
---
_id: '48302'
author:
- first_name: Ivan
  full_name: Habernal, Ivan
  id: '101881'
  last_name: Habernal
- first_name: Henning
  full_name: Wachsmuth, Henning
  last_name: Wachsmuth
- first_name: Iryna
  full_name: Gurevych, Iryna
  last_name: Gurevych
- first_name: Benno
  full_name: Stein, Benno
  last_name: Stein
citation:
  ama: 'Habernal I, Wachsmuth H, Gurevych I, Stein B. Before Name-Calling: Dynamics
    and Triggers of Ad Hominem Fallacies            in Web Argumentation. In: <i>Proceedings
    of the 2018 Conference of the North American Chapter of          the Association
    for Computational Linguistics: Human Language          Technologies, Volume 1
    (Long Papers)</i>. Association for Computational Linguistics; 2018. doi:<a href="https://doi.org/10.18653/v1/n18-1036">10.18653/v1/n18-1036</a>'
  apa: 'Habernal, I., Wachsmuth, H., Gurevych, I., &#38; Stein, B. (2018). Before
    Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies            in Web
    Argumentation. <i>Proceedings of the 2018 Conference of the North American Chapter
    of          the Association for Computational Linguistics: Human Language     
        Technologies, Volume 1 (Long Papers)</i>. <a href="https://doi.org/10.18653/v1/n18-1036">https://doi.org/10.18653/v1/n18-1036</a>'
  bibtex: '@inproceedings{Habernal_Wachsmuth_Gurevych_Stein_2018, title={Before Name-Calling:
    Dynamics and Triggers of Ad Hominem Fallacies            in Web Argumentation},
    DOI={<a href="https://doi.org/10.18653/v1/n18-1036">10.18653/v1/n18-1036</a>},
    booktitle={Proceedings of the 2018 Conference of the North American Chapter of 
            the Association for Computational Linguistics: Human Language         
    Technologies, Volume 1 (Long Papers)}, publisher={Association for Computational
    Linguistics}, author={Habernal, Ivan and Wachsmuth, Henning and Gurevych, Iryna
    and Stein, Benno}, year={2018} }'
  chicago: 'Habernal, Ivan, Henning Wachsmuth, Iryna Gurevych, and Benno Stein. “Before
    Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies            in Web
    Argumentation.” In <i>Proceedings of the 2018 Conference of the North American
    Chapter of          the Association for Computational Linguistics: Human Language 
            Technologies, Volume 1 (Long Papers)</i>. Association for Computational
    Linguistics, 2018. <a href="https://doi.org/10.18653/v1/n18-1036">https://doi.org/10.18653/v1/n18-1036</a>.'
  ieee: 'I. Habernal, H. Wachsmuth, I. Gurevych, and B. Stein, “Before Name-Calling:
    Dynamics and Triggers of Ad Hominem Fallacies            in Web Argumentation,”
    2018, doi: <a href="https://doi.org/10.18653/v1/n18-1036">10.18653/v1/n18-1036</a>.'
  mla: 'Habernal, Ivan, et al. “Before Name-Calling: Dynamics and Triggers of Ad Hominem
    Fallacies            in Web Argumentation.” <i>Proceedings of the 2018 Conference
    of the North American Chapter of          the Association for Computational Linguistics:
    Human Language          Technologies, Volume 1 (Long Papers)</i>, Association
    for Computational Linguistics, 2018, doi:<a href="https://doi.org/10.18653/v1/n18-1036">10.18653/v1/n18-1036</a>.'
  short: 'I. Habernal, H. Wachsmuth, I. Gurevych, B. Stein, in: Proceedings of the
    2018 Conference of the North American Chapter of          the Association for
    Computational Linguistics: Human Language          Technologies, Volume 1 (Long
    Papers), Association for Computational Linguistics, 2018.'
date_created: 2023-10-19T08:29:28Z
date_updated: 2023-10-19T12:09:55Z
department:
- _id: '34'
- _id: '820'
doi: 10.18653/v1/n18-1036
language:
- iso: eng
publication: 'Proceedings of the 2018 Conference of the North American Chapter of          the
  Association for Computational Linguistics: Human Language          Technologies,
  Volume 1 (Long Papers)'
publication_status: published
publisher: Association for Computational Linguistics
status: public
title: 'Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies            in
  Web Argumentation'
type: conference
user_id: '15504'
year: '2018'
...
---
_id: '48304'
author:
- first_name: Johannes
  full_name: Daxenberger, Johannes
  last_name: Daxenberger
- first_name: Steffen
  full_name: Eger, Steffen
  last_name: Eger
- first_name: Ivan
  full_name: Habernal, Ivan
  id: '101881'
  last_name: Habernal
- first_name: Christian
  full_name: Stab, Christian
  last_name: Stab
- first_name: Iryna
  full_name: Gurevych, Iryna
  last_name: Gurevych
citation:
  ama: 'Daxenberger J, Eger S, Habernal I, Stab C, Gurevych I. What is the Essence
    of a Claim? Cross-Domain Claim Identification. In: <i>Proceedings of the 2017
    Conference on Empirical Methods in Natural          Language Processing</i>. Association
    for Computational Linguistics; 2018. doi:<a href="https://doi.org/10.18653/v1/d17-1218">10.18653/v1/d17-1218</a>'
  apa: Daxenberger, J., Eger, S., Habernal, I., Stab, C., &#38; Gurevych, I. (2018).
    What is the Essence of a Claim? Cross-Domain Claim Identification. <i>Proceedings
    of the 2017 Conference on Empirical Methods in Natural          Language Processing</i>.
    <a href="https://doi.org/10.18653/v1/d17-1218">https://doi.org/10.18653/v1/d17-1218</a>
  bibtex: '@inproceedings{Daxenberger_Eger_Habernal_Stab_Gurevych_2018, title={What
    is the Essence of a Claim? Cross-Domain Claim Identification}, DOI={<a href="https://doi.org/10.18653/v1/d17-1218">10.18653/v1/d17-1218</a>},
    booktitle={Proceedings of the 2017 Conference on Empirical Methods in Natural 
            Language Processing}, publisher={Association for Computational Linguistics},
    author={Daxenberger, Johannes and Eger, Steffen and Habernal, Ivan and Stab, Christian
    and Gurevych, Iryna}, year={2018} }'
  chicago: Daxenberger, Johannes, Steffen Eger, Ivan Habernal, Christian Stab, and
    Iryna Gurevych. “What Is the Essence of a Claim? Cross-Domain Claim Identification.”
    In <i>Proceedings of the 2017 Conference on Empirical Methods in Natural     
        Language Processing</i>. Association for Computational Linguistics, 2018.
    <a href="https://doi.org/10.18653/v1/d17-1218">https://doi.org/10.18653/v1/d17-1218</a>.
  ieee: 'J. Daxenberger, S. Eger, I. Habernal, C. Stab, and I. Gurevych, “What is
    the Essence of a Claim? Cross-Domain Claim Identification,” 2018, doi: <a href="https://doi.org/10.18653/v1/d17-1218">10.18653/v1/d17-1218</a>.'
  mla: Daxenberger, Johannes, et al. “What Is the Essence of a Claim? Cross-Domain
    Claim Identification.” <i>Proceedings of the 2017 Conference on Empirical Methods
    in Natural          Language Processing</i>, Association for Computational Linguistics,
    2018, doi:<a href="https://doi.org/10.18653/v1/d17-1218">10.18653/v1/d17-1218</a>.
  short: 'J. Daxenberger, S. Eger, I. Habernal, C. Stab, I. Gurevych, in: Proceedings
    of the 2017 Conference on Empirical Methods in Natural          Language Processing,
    Association for Computational Linguistics, 2018.'
date_created: 2023-10-19T08:29:58Z
date_updated: 2023-10-19T12:08:19Z
department:
- _id: '34'
- _id: '820'
doi: 10.18653/v1/d17-1218
language:
- iso: eng
publication: Proceedings of the 2017 Conference on Empirical Methods in Natural          Language
  Processing
publication_status: published
publisher: Association for Computational Linguistics
status: public
title: What is the Essence of a Claim? Cross-Domain Claim Identification
type: conference
user_id: '15504'
year: '2018'
...
---
_id: '12899'
abstract:
- lang: eng
  text: This contribution presents a speech enhancement system for the CHiME-5 Dinner
    Party Scenario. The front-end employs multi-channel linear time-variant filtering
    and achieves its gains without the use of a neural network. We present an adaptation
    of blind source separation techniques to the CHiME-5 database which we call Guided
    Source Separation (GSS). Using the baseline acoustic and language model, the combination
    of Weighted Prediction Error based dereverberation, guided source separation,
    and beamforming reduces the WER by 10:54% (relative) for the single array track
    and by 21:12% (relative) on the multiple array track.
author:
- first_name: Christoph
  full_name: Boeddeker, Christoph
  id: '40767'
  last_name: Boeddeker
- first_name: Jens
  full_name: Heitkaemper, Jens
  id: '27643'
  last_name: Heitkaemper
- first_name: Joerg
  full_name: Schmalenstroeer, Joerg
  id: '460'
  last_name: Schmalenstroeer
- first_name: Lukas
  full_name: Drude, Lukas
  id: '11213'
  last_name: Drude
- first_name: Jahn
  full_name: Heymann, Jahn
  last_name: Heymann
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Boeddeker C, Heitkaemper J, Schmalenstroeer J, Drude L, Heymann J, Haeb-Umbach
    R. Front-End Processing for the CHiME-5 Dinner Party Scenario. In: <i>Proc. CHiME
    2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India</i>.
    ; 2018.'
  apa: Boeddeker, C., Heitkaemper, J., Schmalenstroeer, J., Drude, L., Heymann, J.,
    &#38; Haeb-Umbach, R. (2018). Front-End Processing for the CHiME-5 Dinner Party
    Scenario. <i>Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments,
    Hyderabad, India</i>.
  bibtex: '@inproceedings{Boeddeker_Heitkaemper_Schmalenstroeer_Drude_Heymann_Haeb-Umbach_2018,
    title={Front-End Processing for the CHiME-5 Dinner Party Scenario}, booktitle={Proc.
    CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad,
    India}, author={Boeddeker, Christoph and Heitkaemper, Jens and Schmalenstroeer,
    Joerg and Drude, Lukas and Heymann, Jahn and Haeb-Umbach, Reinhold}, year={2018}
    }'
  chicago: Boeddeker, Christoph, Jens Heitkaemper, Joerg Schmalenstroeer, Lukas Drude,
    Jahn Heymann, and Reinhold Haeb-Umbach. “Front-End Processing for the CHiME-5
    Dinner Party Scenario.” In <i>Proc. CHiME 2018 Workshop on Speech Processing in
    Everyday Environments, Hyderabad, India</i>, 2018.
  ieee: C. Boeddeker, J. Heitkaemper, J. Schmalenstroeer, L. Drude, J. Heymann, and
    R. Haeb-Umbach, “Front-End Processing for the CHiME-5 Dinner Party Scenario,”
    2018.
  mla: Boeddeker, Christoph, et al. “Front-End Processing for the CHiME-5 Dinner Party
    Scenario.” <i>Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments,
    Hyderabad, India</i>, 2018.
  short: 'C. Boeddeker, J. Heitkaemper, J. Schmalenstroeer, L. Drude, J. Heymann,
    R. Haeb-Umbach, in: Proc. CHiME 2018 Workshop on Speech Processing in Everyday
    Environments, Hyderabad, India, 2018.'
date_created: 2019-07-30T14:35:15Z
date_updated: 2023-10-26T08:14:15Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2018/INTERSPEECH_2018_Heitkaemper_Paper.pdf
oa: '1'
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments,
  Hyderabad, India
quality_controlled: '1'
related_material:
  link:
  - description: Poster
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2018/INTERSPEECH_2018_Heitkaemper_Poster.pdf
status: public
title: Front-End Processing for the CHiME-5 Dinner Party Scenario
type: conference
user_id: '460'
year: '2018'
...
---
_id: '6859'
abstract:
- lang: eng
  text: "Signal processing in WASNs is based on a software framework for hosting the
    algorithms as well as on a set of wireless connected devices representing the
    hardware. Each of the nodes contributes memory, processing power, communication
    bandwidth and some sensor information for the tasks to be solved on the network.
    \r\nIn this paper we present our MARVELO framework for distributed signal processing.
    It is intended for transforming existing centralized implementations into distributed
    versions. To this end, the software only needs a block-oriented implementation,
    which MARVELO picks-up and distributes on the network. Additionally, our sensor
    node hardware and the audio interfaces responsible for multi-channel recordings
    are presented."
author:
- first_name: Haitham
  full_name: Afifi, Haitham
  id: '65718'
  last_name: Afifi
- first_name: Joerg
  full_name: Schmalenstroeer, Joerg
  id: '460'
  last_name: Schmalenstroeer
- 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
- first_name: Holger
  full_name: Karl, Holger
  id: '126'
  last_name: Karl
citation:
  ama: 'Afifi H, Schmalenstroeer J, Ullmann J, Haeb-Umbach R, Karl H. MARVELO - A
    Framework for Signal Processing in Wireless Acoustic Sensor Networks. In: <i>Speech
    Communication; 13th ITG-Symposium</i>. ; 2018:1-5.'
  apa: Afifi, H., Schmalenstroeer, J., Ullmann, J., Haeb-Umbach, R., &#38; Karl, H.
    (2018). MARVELO - A Framework for Signal Processing in Wireless Acoustic Sensor
    Networks. <i>Speech Communication; 13th ITG-Symposium</i>, 1–5.
  bibtex: '@inproceedings{Afifi_Schmalenstroeer_Ullmann_Haeb-Umbach_Karl_2018, title={MARVELO
    - A Framework for Signal Processing in Wireless Acoustic Sensor Networks}, booktitle={Speech
    Communication; 13th ITG-Symposium}, author={Afifi, Haitham and Schmalenstroeer,
    Joerg and Ullmann, Joerg and Haeb-Umbach, Reinhold and Karl, Holger}, year={2018},
    pages={1–5} }'
  chicago: Afifi, Haitham, Joerg Schmalenstroeer, Joerg Ullmann, Reinhold Haeb-Umbach,
    and Holger Karl. “MARVELO - A Framework for Signal Processing in Wireless Acoustic
    Sensor Networks.” In <i>Speech Communication; 13th ITG-Symposium</i>, 1–5, 2018.
  ieee: H. Afifi, J. Schmalenstroeer, J. Ullmann, R. Haeb-Umbach, and H. Karl, “MARVELO
    - A Framework for Signal Processing in Wireless Acoustic Sensor Networks,” in
    <i>Speech Communication; 13th ITG-Symposium</i>, 2018, pp. 1–5.
  mla: Afifi, Haitham, et al. “MARVELO - A Framework for Signal Processing in Wireless
    Acoustic Sensor Networks.” <i>Speech Communication; 13th ITG-Symposium</i>, 2018,
    pp. 1–5.
  short: 'H. Afifi, J. Schmalenstroeer, J. Ullmann, R. Haeb-Umbach, H. Karl, in: Speech
    Communication; 13th ITG-Symposium, 2018, pp. 1–5.'
date_created: 2019-01-17T15:47:35Z
date_updated: 2023-10-26T08:15:32Z
department:
- _id: '75'
- _id: '54'
language:
- iso: eng
page: 1-5
project:
- _id: '27'
  name: 'Akustische Sensornetzwerke - Teilprojekt '
- _id: '27'
  name: Akustische Sensornetzwerke - Teilprojekt "Verteilte akustische Signalverarbeitung
    über funkbasierte Sensornetzwerke
publication: Speech Communication; 13th ITG-Symposium
quality_controlled: '1'
status: public
title: MARVELO - A Framework for Signal Processing in Wireless Acoustic Sensor Networks
type: conference
user_id: '460'
year: '2018'
...
---
_id: '11747'
abstract:
- lang: eng
  text: In this paper, we present a neural network based classification algorithm
    for the discrimination of moving from stationary targets in the sight of an automotive
    radar sensor. Compared to existing algorithms, the proposed algorithm can take
    into account multiple local radar targets instead of performing classification
    inference on each target individually resulting in superior discrimination accuracy,
    especially suitable for non rigid objects, like pedestrians, which in general
    have a wide velocity spread when multiple targets are detected.
author:
- first_name: Christopher
  full_name: Grimm, Christopher
  last_name: Grimm
- first_name: Tobias
  full_name: Breddermann, Tobias
  last_name: Breddermann
- first_name: Ridha
  full_name: Farhoud, Ridha
  last_name: Farhoud
- first_name: Tai
  full_name: Fei, Tai
  last_name: Fei
- first_name: Ernst
  full_name: Warsitz, Ernst
  last_name: Warsitz
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Grimm C, Breddermann T, Farhoud R, Fei T, Warsitz E, Haeb-Umbach R. Discrimination
    of Stationary from Moving Targets with Recurrent Neural Networks in Automotive
    Radar. In: <i>International Conference on Microwaves for Intelligent Mobility
    (ICMIM) 2018</i>. ; 2018.'
  apa: Grimm, C., Breddermann, T., Farhoud, R., Fei, T., Warsitz, E., &#38; Haeb-Umbach,
    R. (2018). Discrimination of Stationary from Moving Targets with Recurrent Neural
    Networks in Automotive Radar. <i>International Conference on Microwaves for Intelligent
    Mobility (ICMIM) 2018</i>.
  bibtex: '@inproceedings{Grimm_Breddermann_Farhoud_Fei_Warsitz_Haeb-Umbach_2018,
    title={Discrimination of Stationary from Moving Targets with Recurrent Neural
    Networks in Automotive Radar}, booktitle={International Conference on Microwaves
    for Intelligent Mobility (ICMIM) 2018}, author={Grimm, Christopher and Breddermann,
    Tobias and Farhoud, Ridha and Fei, Tai and Warsitz, Ernst and Haeb-Umbach, Reinhold},
    year={2018} }'
  chicago: Grimm, Christopher, Tobias Breddermann, Ridha Farhoud, Tai Fei, Ernst Warsitz,
    and Reinhold Haeb-Umbach. “Discrimination of Stationary from Moving Targets with
    Recurrent Neural Networks in Automotive Radar.” In <i>International Conference
    on Microwaves for Intelligent Mobility (ICMIM) 2018</i>, 2018.
  ieee: C. Grimm, T. Breddermann, R. Farhoud, T. Fei, E. Warsitz, and R. Haeb-Umbach,
    “Discrimination of Stationary from Moving Targets with Recurrent Neural Networks
    in Automotive Radar,” 2018.
  mla: Grimm, Christopher, et al. “Discrimination of Stationary from Moving Targets
    with Recurrent Neural Networks in Automotive Radar.” <i>International Conference
    on Microwaves for Intelligent Mobility (ICMIM) 2018</i>, 2018.
  short: 'C. Grimm, T. Breddermann, R. Farhoud, T. Fei, E. Warsitz, R. Haeb-Umbach,
    in: International Conference on Microwaves for Intelligent Mobility (ICMIM) 2018,
    2018.'
date_created: 2019-07-12T05:27:29Z
date_updated: 2023-11-20T16:37:39Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2018/ICMIM_2018_Haeb-Umbach_Paper.pdf
oa: '1'
publication: International Conference on Microwaves for Intelligent Mobility (ICMIM)
  2018
quality_controlled: '1'
status: public
title: Discrimination of Stationary from Moving Targets with Recurrent Neural Networks
  in Automotive Radar
type: conference
user_id: '242'
year: '2018'
...
---
_id: '11907'
abstract:
- lang: eng
  text: The invention of the Variational Autoencoder enables the application of Neural
    Networks to a wide range of tasks in unsupervised learning, including the field
    of Acoustic Unit Discovery (AUD). The recently proposed Hidden Markov Model Variational
    Autoencoder (HMMVAE) allows a joint training of a neural network based feature
    extractor and a structured prior for the latent space given by a Hidden Markov
    Model. It has been shown that the HMMVAE significantly outperforms pure GMM-HMM
    based systems on the AUD task. However, the HMMVAE cannot autonomously infer the
    number of acoustic units and thus relies on the GMM-HMM system for initialization.
    This paper introduces the Bayesian Hidden Markov Model Variational Autoencoder
    (BHMMVAE) which solves these issues by embedding the HMMVAE in a Bayesian framework
    with a Dirichlet Process Prior for the distribution of the acoustic units, and
    diagonal or full-covariance Gaussians as emission distributions. Experiments on
    TIMIT and Xitsonga show that the BHMMVAE is able to autonomously infer a reasonable
    number of acoustic units, can be initialized without supervision by a GMM-HMM
    system, achieves computationally efficient stochastic variational inference by
    using natural gradient descent, and, additionally, improves the AUD performance
    over the HMMVAE.
author:
- first_name: Thomas
  full_name: Glarner, Thomas
  id: '14169'
  last_name: Glarner
- first_name: Patrick
  full_name: Hanebrink, Patrick
  last_name: Hanebrink
- first_name: Janek
  full_name: Ebbers, Janek
  id: '34851'
  last_name: Ebbers
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Glarner T, Hanebrink P, Ebbers J, Haeb-Umbach R. Full Bayesian Hidden Markov
    Model Variational Autoencoder for Acoustic Unit Discovery. In: <i>INTERSPEECH
    2018, Hyderabad, India</i>. ; 2018.'
  apa: Glarner, T., Hanebrink, P., Ebbers, J., &#38; Haeb-Umbach, R. (2018). Full
    Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery.
    <i>INTERSPEECH 2018, Hyderabad, India</i>.
  bibtex: '@inproceedings{Glarner_Hanebrink_Ebbers_Haeb-Umbach_2018, title={Full Bayesian
    Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery}, booktitle={INTERSPEECH
    2018, Hyderabad, India}, author={Glarner, Thomas and Hanebrink, Patrick and Ebbers,
    Janek and Haeb-Umbach, Reinhold}, year={2018} }'
  chicago: Glarner, Thomas, Patrick Hanebrink, Janek Ebbers, and Reinhold Haeb-Umbach.
    “Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery.”
    In <i>INTERSPEECH 2018, Hyderabad, India</i>, 2018.
  ieee: T. Glarner, P. Hanebrink, J. Ebbers, and R. Haeb-Umbach, “Full Bayesian Hidden
    Markov Model Variational Autoencoder for Acoustic Unit Discovery,” 2018.
  mla: Glarner, Thomas, et al. “Full Bayesian Hidden Markov Model Variational Autoencoder
    for Acoustic Unit Discovery.” <i>INTERSPEECH 2018, Hyderabad, India</i>, 2018.
  short: 'T. Glarner, P. Hanebrink, J. Ebbers, R. Haeb-Umbach, in: INTERSPEECH 2018,
    Hyderabad, India, 2018.'
date_created: 2019-07-12T05:30:34Z
date_updated: 2023-11-22T08:29:22Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2018/INTERSPEECH_2018_Glarner_Paper.pdf
oa: '1'
publication: INTERSPEECH 2018, Hyderabad, India
quality_controlled: '1'
related_material:
  link:
  - description: Slides
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2018/INTERSPEECH_2018_Glarner_Slides.pdf
status: public
title: Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit
  Discovery
type: conference
user_id: '34851'
year: '2018'
...
---
_id: '46350'
abstract:
- lang: eng
  text: 'The ubiquity of WiFi access points and the sharp increase in WiFi-enabled
    devices carried by humans have paved the way for WiFi-based indoor positioning
    and location analysis. Locating people in indoor environments has numerous applications
    in robotics, crowd control, indoor facility optimization, and automated environment
    mapping. However, existing WiFi-based positioning systems suffer from two major
    problems: (1) their accuracy and precision is limited due to inherent noise induced
    by indoor obstacles, and (2) they only occasionally provide location estimates,
    namely when a WiFi-equipped device emits a signal. To mitigate these two issues,
    we propose a novel Gaussian process (GP) model for WiFi signal strength measurements.
    It allows for simultaneous smoothing (increasing accuracy and precision of estimators)
    and interpolation (enabling continuous sampling of location estimates). Furthermore,
    simple and efficient smoothing methods for location estimates are introduced to
    improve localization performance in real-time settings. Experiments are conducted
    on two data sets from a large real-world commercial indoor retail environment.
    Results demonstrate that our approach provides significant improvements in terms
    of precision and accuracy with respect to unfiltered data. Ultimately, the GP
    model realizes continuous location sampling with consistently high quality location
    estimates.'
author:
- first_name: J.E.
  full_name: van Engelen, J.E.
  last_name: van Engelen
- first_name: J.J.
  full_name: van Lier, J.J.
  last_name: van Lier
- first_name: F.W.
  full_name: Takes, F.W.
  last_name: Takes
- first_name: Heike
  full_name: Trautmann, Heike
  id: '100740'
  last_name: Trautmann
  orcid: 0000-0002-9788-8282
citation:
  ama: 'van Engelen JE, van Lier JJ, Takes FW, Trautmann H. Accurate WiFi based indoor
    positioning with continuous location sampling. In: <i>Proceedings of the European
    Conference on Machine Learning and Principles and Practice of Knowledge Discovery
    in Database (ECML/PKDD)</i>. Springer; 2018:524–540.'
  apa: van Engelen, J. E., van Lier, J. J., Takes, F. W., &#38; Trautmann, H. (2018).
    Accurate WiFi based indoor positioning with continuous location sampling. <i>Proceedings
    of the European Conference on Machine Learning and Principles and Practice of
    Knowledge Discovery in Database (ECML/PKDD)</i>, 524–540.
  bibtex: '@inproceedings{van Engelen_van Lier_Takes_Trautmann_2018, place={Dublin,
    Ireland}, title={Accurate WiFi based indoor positioning with continuous location
    sampling}, booktitle={Proceedings of the European Conference on Machine Learning
    and Principles and Practice of Knowledge Discovery in Database (ECML/PKDD)}, publisher={Springer},
    author={van Engelen, J.E. and van Lier, J.J. and Takes, F.W. and Trautmann, Heike},
    year={2018}, pages={524–540} }'
  chicago: 'Engelen, J.E. van, J.J. van Lier, F.W. Takes, and Heike Trautmann. “Accurate
    WiFi Based Indoor Positioning with Continuous Location Sampling.” In <i>Proceedings
    of the European Conference on Machine Learning and Principles and Practice of
    Knowledge Discovery in Database (ECML/PKDD)</i>, 524–540. Dublin, Ireland: Springer,
    2018.'
  ieee: J. E. van Engelen, J. J. van Lier, F. W. Takes, and H. Trautmann, “Accurate
    WiFi based indoor positioning with continuous location sampling,” in <i>Proceedings
    of the European Conference on Machine Learning and Principles and Practice of
    Knowledge Discovery in Database (ECML/PKDD)</i>, 2018, pp. 524–540.
  mla: van Engelen, J. E., et al. “Accurate WiFi Based Indoor Positioning with Continuous
    Location Sampling.” <i>Proceedings of the European Conference on Machine Learning
    and Principles and Practice of Knowledge Discovery in Database (ECML/PKDD)</i>,
    Springer, 2018, pp. 524–540.
  short: 'J.E. van Engelen, J.J. van Lier, F.W. Takes, H. Trautmann, in: Proceedings
    of the European Conference on Machine Learning and Principles and Practice of
    Knowledge Discovery in Database (ECML/PKDD), Springer, Dublin, Ireland, 2018,
    pp. 524–540.'
date_created: 2023-08-04T07:54:43Z
date_updated: 2023-10-16T13:33:18Z
department:
- _id: '34'
- _id: '819'
language:
- iso: eng
page: 524–540
place: Dublin, Ireland
publication: Proceedings of the European Conference on Machine Learning and Principles
  and Practice of Knowledge Discovery in Database (ECML/PKDD)
publisher: Springer
status: public
title: Accurate WiFi based indoor positioning with continuous location sampling
type: conference
user_id: '15504'
year: '2018'
...
---
_id: '46351'
abstract:
- lang: eng
  text: Clustering is an important field in data mining that aims to reveal hidden
    patterns in data sets. It is widely popular in marketing or medical applications
    and used to identify groups of similar objects. Clustering possibly unbounded
    and evolving data streams is of particular interest due to the widespread deployment
    of large and fast data sources such as sensors. The vast majority of stream clustering
    algorithms employ a two-phase approach where the stream is first summarized in
    an online phase. Upon request, an offline phase reclusters the aggregations into
    the final clusters. In this setup, the online component will idle and wait for
    the next observation in times where the stream is slow. This paper proposes a
    new stream clustering algorithm called evoStream which performs evolutionary optimization
    in the idle times of the online phase to incrementally build and refine the final
    clusters. Since the online phase would idle otherwise, our approach does not reduce
    the processing speed while effectively removing the computational overhead of
    the offline phase. In extensive experiments on real data streams we show that
    the proposed algorithm allows to output clusters of high quality at any time within
    the stream without the need for additional computational resources.
author:
- first_name: Matthias
  full_name: Carnein, Matthias
  last_name: Carnein
- first_name: Heike
  full_name: Trautmann, Heike
  id: '100740'
  last_name: Trautmann
  orcid: 0000-0002-9788-8282
citation:
  ama: Carnein M, Trautmann H. evoStream — Evolutionary Stream Clustering Utilizing
    Idle Times. <i>Big Data Research</i>. 2018;14:101–111. doi:<a href="https://doi.org/10.1016/j.bdr.2018.05.005">10.1016/j.bdr.2018.05.005</a>
  apa: Carnein, M., &#38; Trautmann, H. (2018). evoStream — Evolutionary Stream Clustering
    Utilizing Idle Times. <i>Big Data Research</i>, <i>14</i>, 101–111. <a href="https://doi.org/10.1016/j.bdr.2018.05.005">https://doi.org/10.1016/j.bdr.2018.05.005</a>
  bibtex: '@article{Carnein_Trautmann_2018, title={evoStream — Evolutionary Stream
    Clustering Utilizing Idle Times}, volume={14}, DOI={<a href="https://doi.org/10.1016/j.bdr.2018.05.005">10.1016/j.bdr.2018.05.005</a>},
    journal={Big Data Research}, author={Carnein, Matthias and Trautmann, Heike},
    year={2018}, pages={101–111} }'
  chicago: 'Carnein, Matthias, and Heike Trautmann. “EvoStream — Evolutionary Stream
    Clustering Utilizing Idle Times.” <i>Big Data Research</i> 14 (2018): 101–111.
    <a href="https://doi.org/10.1016/j.bdr.2018.05.005">https://doi.org/10.1016/j.bdr.2018.05.005</a>.'
  ieee: 'M. Carnein and H. Trautmann, “evoStream — Evolutionary Stream Clustering
    Utilizing Idle Times,” <i>Big Data Research</i>, vol. 14, pp. 101–111, 2018, doi:
    <a href="https://doi.org/10.1016/j.bdr.2018.05.005">10.1016/j.bdr.2018.05.005</a>.'
  mla: Carnein, Matthias, and Heike Trautmann. “EvoStream — Evolutionary Stream Clustering
    Utilizing Idle Times.” <i>Big Data Research</i>, vol. 14, 2018, pp. 101–111, doi:<a
    href="https://doi.org/10.1016/j.bdr.2018.05.005">10.1016/j.bdr.2018.05.005</a>.
  short: M. Carnein, H. Trautmann, Big Data Research 14 (2018) 101–111.
date_created: 2023-08-04T07:55:33Z
date_updated: 2023-10-16T13:33:43Z
department:
- _id: '34'
- _id: '819'
doi: 10.1016/j.bdr.2018.05.005
intvolume: '        14'
language:
- iso: eng
page: 101–111
publication: Big Data Research
status: public
title: evoStream — Evolutionary Stream Clustering Utilizing Idle Times
type: journal_article
user_id: '15504'
volume: 14
year: '2018'
...
---
_id: '46353'
abstract:
- lang: eng
  text: 'Incorporating decision makers'' preferences is of great significance in multiobjective
    optimization. Target region-based multiobjective evolutionary algorithms (TMOEAs),
    aiming at a well-distributed subset of Pareto optimal solutions within the user-provided
    region(s), are extensively investigated in this paper. An empirical comparison
    is performed among three TMOEA instantiations: T-NSGA-II, T-SMS-EMOA and T-R2-EMOA.
    Experimental results show that T-SMS-EMOA has the best overall performance regarding
    the hypervolume indicator within the target region, while T-NSGA-II is the fastest
    algorithm. We also compare TMOEAs with other state-of-the-art preference-based
    approaches, i.e., DF-SMS-EMOA, RVEA, AS-EMOA and R-NSGA-II to show the advantages
    of TMOEAs. A case study in the mission planning of earth observation satellite
    is carried out to verify the capabilities of TMOEAs in the real-world application.
    Experimental results indicate that preferences can improve the searching ability
    of MOEAs, and TMOEAs can successfully find nondominated solutions preferred by
    the decision maker.'
author:
- first_name: L
  full_name: Li, L
  last_name: Li
- first_name: Y
  full_name: Wang, Y
  last_name: Wang
- first_name: Heike
  full_name: Trautmann, Heike
  id: '100740'
  last_name: Trautmann
  orcid: 0000-0002-9788-8282
- first_name: N
  full_name: Jing, N
  last_name: Jing
- first_name: M
  full_name: Emmerich, M
  last_name: Emmerich
citation:
  ama: Li L, Wang Y, Trautmann H, Jing N, Emmerich M. Multiobjective evolutionary
    algorithms based on target region preferences. <i>Swarm and Evolutionary Computation</i>.
    2018;40:196–215. doi:<a href="https://doi.org/10.1016/j.swevo.2018.02.006">10.1016/j.swevo.2018.02.006</a>
  apa: Li, L., Wang, Y., Trautmann, H., Jing, N., &#38; Emmerich, M. (2018). Multiobjective
    evolutionary algorithms based on target region preferences. <i>Swarm and Evolutionary
    Computation</i>, <i>40</i>, 196–215. <a href="https://doi.org/10.1016/j.swevo.2018.02.006">https://doi.org/10.1016/j.swevo.2018.02.006</a>
  bibtex: '@article{Li_Wang_Trautmann_Jing_Emmerich_2018, title={Multiobjective evolutionary
    algorithms based on target region preferences}, volume={40}, DOI={<a href="https://doi.org/10.1016/j.swevo.2018.02.006">10.1016/j.swevo.2018.02.006</a>},
    journal={Swarm and Evolutionary Computation}, author={Li, L and Wang, Y and Trautmann,
    Heike and Jing, N and Emmerich, M}, year={2018}, pages={196–215} }'
  chicago: 'Li, L, Y Wang, Heike Trautmann, N Jing, and M Emmerich. “Multiobjective
    Evolutionary Algorithms Based on Target Region Preferences.” <i>Swarm and Evolutionary
    Computation</i> 40 (2018): 196–215. <a href="https://doi.org/10.1016/j.swevo.2018.02.006">https://doi.org/10.1016/j.swevo.2018.02.006</a>.'
  ieee: 'L. Li, Y. Wang, H. Trautmann, N. Jing, and M. Emmerich, “Multiobjective evolutionary
    algorithms based on target region preferences,” <i>Swarm and Evolutionary Computation</i>,
    vol. 40, pp. 196–215, 2018, doi: <a href="https://doi.org/10.1016/j.swevo.2018.02.006">10.1016/j.swevo.2018.02.006</a>.'
  mla: Li, L., et al. “Multiobjective Evolutionary Algorithms Based on Target Region
    Preferences.” <i>Swarm and Evolutionary Computation</i>, vol. 40, 2018, pp. 196–215,
    doi:<a href="https://doi.org/10.1016/j.swevo.2018.02.006">10.1016/j.swevo.2018.02.006</a>.
  short: L. Li, Y. Wang, H. Trautmann, N. Jing, M. Emmerich, Swarm and Evolutionary
    Computation 40 (2018) 196–215.
date_created: 2023-08-04T07:56:57Z
date_updated: 2023-10-16T13:34:21Z
department:
- _id: '34'
- _id: '819'
doi: 10.1016/j.swevo.2018.02.006
intvolume: '        40'
language:
- iso: eng
page: 196–215
publication: Swarm and Evolutionary Computation
status: public
title: Multiobjective evolutionary algorithms based on target region preferences
type: journal_article
user_id: '15504'
volume: 40
year: '2018'
...
---
_id: '11838'
abstract:
- lang: eng
  text: Distributed sensor data acquisition usually encompasses data sampling by the
    individual devices, where each of them has its own oscillator driving the local
    sampling process, resulting in slightly different sampling rates at the individual
    sensor nodes. Nevertheless, for certain downstream signal processing tasks it
    is important to compensate even for small sampling rate offsets. Aligning the
    sampling rates of oscillators which differ only by a few parts-per-million, is,
    however, challenging and quite different from traditional multirate signal processing
    tasks. In this paper we propose to transfer a precise but computationally demanding
    time domain approach, inspired by the Nyquist-Shannon sampling theorem, to an
    efficient frequency domain implementation. To this end a buffer control is employed
    which compensates for sampling offsets which are multiples of the sampling period,
    while a digital filter, realized by the wellknown Overlap-Save method, handles
    the fractional part of the sampling phase offset. With experiments on artificially
    misaligned data we investigate the parametrization, the efficiency, and the induced
    distortions of the proposed resampling method. It is shown that a favorable compromise
    between residual distortion and computational complexity is achieved, compared
    to other sampling rate offset compensation techniques.
author:
- 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: 'Schmalenstroeer J, Haeb-Umbach R. Efficient Sampling Rate Offset Compensation
    - An Overlap-Save Based Approach. In: <i>26th European Signal Processing Conference
    (EUSIPCO 2018)</i>. ; 2018.'
  apa: Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2018). Efficient Sampling Rate
    Offset Compensation - An Overlap-Save Based Approach. <i>26th European Signal
    Processing Conference (EUSIPCO 2018)</i>.
  bibtex: '@inproceedings{Schmalenstroeer_Haeb-Umbach_2018, title={Efficient Sampling
    Rate Offset Compensation - An Overlap-Save Based Approach}, booktitle={26th European
    Signal Processing Conference (EUSIPCO 2018)}, author={Schmalenstroeer, Joerg and
    Haeb-Umbach, Reinhold}, year={2018} }'
  chicago: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Efficient Sampling Rate
    Offset Compensation - An Overlap-Save Based Approach.” In <i>26th European Signal
    Processing Conference (EUSIPCO 2018)</i>, 2018.
  ieee: J. Schmalenstroeer and R. Haeb-Umbach, “Efficient Sampling Rate Offset Compensation
    - An Overlap-Save Based Approach,” 2018.
  mla: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Efficient Sampling Rate
    Offset Compensation - An Overlap-Save Based Approach.” <i>26th European Signal
    Processing Conference (EUSIPCO 2018)</i>, 2018.
  short: 'J. Schmalenstroeer, R. Haeb-Umbach, in: 26th European Signal Processing
    Conference (EUSIPCO 2018), 2018.'
date_created: 2019-07-12T05:29:14Z
date_updated: 2023-10-26T08:12:33Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2018/Eusipco_2018_Schmalenstroeer_Paper.pdf
oa: '1'
publication: 26th European Signal Processing Conference (EUSIPCO 2018)
quality_controlled: '1'
status: public
title: Efficient Sampling Rate Offset Compensation - An Overlap-Save Based Approach
type: conference
user_id: '460'
year: '2018'
...
---
_id: '11876'
abstract:
- lang: eng
  text: This paper describes the systems for the single-array track and the multiple-array
    track of the 5th CHiME Challenge. The final system is a combination of multiple
    systems, using Confusion Network Combination (CNC). The different systems presented
    here are utilizing different front-ends and training sets for a Bidirectional
    Long Short-Term Memory (BLSTM) Acoustic Model (AM). The front-end was replaced
    by enhancements provided by Paderborn University [1]. The back-end has been implemented
    using RASR [2] and RETURNN [3]. Additionally, a system combination including the
    hypothesis word graphs from the system of the submission [1] has been performed,
    which results in the final best system.
author:
- first_name: Markus
  full_name: Kitza, Markus
  last_name: Kitza
- first_name: Wilfried
  full_name: Michel, Wilfried
  last_name: Michel
- first_name: Christoph
  full_name: Boeddeker, Christoph
  id: '40767'
  last_name: Boeddeker
- first_name: Jens
  full_name: Heitkaemper, Jens
  id: '27643'
  last_name: Heitkaemper
- first_name: Tobias
  full_name: Menne, Tobias
  last_name: Menne
- first_name: Ralf
  full_name: Schlüter, Ralf
  last_name: Schlüter
- first_name: Hermann
  full_name: Ney, Hermann
  last_name: Ney
- first_name: Joerg
  full_name: Schmalenstroeer, Joerg
  id: '460'
  last_name: Schmalenstroeer
- 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: 'Kitza M, Michel W, Boeddeker C, et al. The RWTH/UPB System Combination for
    the CHiME 2018 Workshop. In: <i>Proc. CHiME 2018 Workshop on Speech Processing
    in Everyday Environments, Hyderabad, India</i>. ; 2018.'
  apa: Kitza, M., Michel, W., Boeddeker, C., Heitkaemper, J., Menne, T., Schlüter,
    R., Ney, H., Schmalenstroeer, J., Drude, L., Heymann, J., &#38; Haeb-Umbach, R.
    (2018). The RWTH/UPB System Combination for the CHiME 2018 Workshop. <i>Proc.
    CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad,
    India</i>.
  bibtex: '@inproceedings{Kitza_Michel_Boeddeker_Heitkaemper_Menne_Schlüter_Ney_Schmalenstroeer_Drude_Heymann_et
    al._2018, title={The RWTH/UPB System Combination for the CHiME 2018 Workshop},
    booktitle={Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments,
    Hyderabad, India}, author={Kitza, Markus and Michel, Wilfried and Boeddeker, Christoph
    and Heitkaemper, Jens and Menne, Tobias and Schlüter, Ralf and Ney, Hermann and
    Schmalenstroeer, Joerg and Drude, Lukas and Heymann, Jahn and et al.}, year={2018}
    }'
  chicago: Kitza, Markus, Wilfried Michel, Christoph Boeddeker, Jens Heitkaemper,
    Tobias Menne, Ralf Schlüter, Hermann Ney, et al. “The RWTH/UPB System Combination
    for the CHiME 2018 Workshop.” In <i>Proc. CHiME 2018 Workshop on Speech Processing
    in Everyday Environments, Hyderabad, India</i>, 2018.
  ieee: M. Kitza <i>et al.</i>, “The RWTH/UPB System Combination for the CHiME 2018
    Workshop,” 2018.
  mla: Kitza, Markus, et al. “The RWTH/UPB System Combination for the CHiME 2018 Workshop.”
    <i>Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad,
    India</i>, 2018.
  short: 'M. Kitza, W. Michel, C. Boeddeker, J. Heitkaemper, T. Menne, R. Schlüter,
    H. Ney, J. Schmalenstroeer, L. Drude, J. Heymann, R. Haeb-Umbach, in: Proc. CHiME
    2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India,
    2018.'
date_created: 2019-07-12T05:29:58Z
date_updated: 2023-10-26T08:12:14Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2018/INTERSPEECH_2018_Heitkaemper_RWTH_Paper.pdf
oa: '1'
publication: Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments,
  Hyderabad, India
quality_controlled: '1'
status: public
title: The RWTH/UPB System Combination for the CHiME 2018 Workshop
type: conference
user_id: '460'
year: '2018'
...
---
_id: '11836'
abstract:
- lang: eng
  text: Due to their distributed nature wireless acoustic sensor networks offer great
    potential for improved signal acquisition, processing and classification for applications
    such as monitoring and surveillance, home automation, or hands-free telecommunication.
    To reduce the communication demand with a central server and to raise the privacy
    level it is desirable to perform processing at node level. The limited processing
    and memory capabilities on a sensor node, however, stand in contrast to the compute
    and memory intensive deep learning algorithms used in modern speech and audio
    processing. In this work, we perform benchmarking of commonly used convolutional
    and recurrent neural network architectures on a Raspberry Pi based acoustic sensor
    node. We show that it is possible to run medium-sized neural network topologies
    used for speech enhancement and speech recognition in real time. For acoustic
    event recognition, where predictions in a lower temporal resolution are sufficient,
    it is even possible to run current state-of-the-art deep convolutional models
    with a real-time-factor of 0:11.
author:
- first_name: Janek
  full_name: Ebbers, Janek
  id: '34851'
  last_name: Ebbers
- first_name: Jens
  full_name: Heitkaemper, Jens
  id: '27643'
  last_name: Heitkaemper
- 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: 'Ebbers J, Heitkaemper J, Schmalenstroeer J, Haeb-Umbach R. Benchmarking Neural
    Network Architectures for Acoustic Sensor Networks. In: <i>ITG 2018, Oldenburg,
    Germany</i>. ; 2018.'
  apa: Ebbers, J., Heitkaemper, J., Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2018).
    Benchmarking Neural Network Architectures for Acoustic Sensor Networks. <i>ITG
    2018, Oldenburg, Germany</i>.
  bibtex: '@inproceedings{Ebbers_Heitkaemper_Schmalenstroeer_Haeb-Umbach_2018, title={Benchmarking
    Neural Network Architectures for Acoustic Sensor Networks}, booktitle={ITG 2018,
    Oldenburg, Germany}, author={Ebbers, Janek and Heitkaemper, Jens and Schmalenstroeer,
    Joerg and Haeb-Umbach, Reinhold}, year={2018} }'
  chicago: Ebbers, Janek, Jens Heitkaemper, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach.
    “Benchmarking Neural Network Architectures for Acoustic Sensor Networks.” In <i>ITG
    2018, Oldenburg, Germany</i>, 2018.
  ieee: J. Ebbers, J. Heitkaemper, J. Schmalenstroeer, and R. Haeb-Umbach, “Benchmarking
    Neural Network Architectures for Acoustic Sensor Networks,” 2018.
  mla: Ebbers, Janek, et al. “Benchmarking Neural Network Architectures for Acoustic
    Sensor Networks.” <i>ITG 2018, Oldenburg, Germany</i>, 2018.
  short: 'J. Ebbers, J. Heitkaemper, J. Schmalenstroeer, R. Haeb-Umbach, in: ITG 2018,
    Oldenburg, Germany, 2018.'
date_created: 2019-07-12T05:29:11Z
date_updated: 2023-10-26T08:12:40Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2018/ITG_2018_Ebbers_Paper.pdf
oa: '1'
publication: ITG 2018, Oldenburg, Germany
quality_controlled: '1'
related_material:
  link:
  - description: Poster
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2018/ITG_2018_Ebbers_Poster.pdf
status: public
title: Benchmarking Neural Network Architectures for Acoustic Sensor Networks
type: conference
user_id: '460'
year: '2018'
...