---
_id: '22218'
author:
- first_name: Stefan
  full_name: Krauter, Stefan
  id: '28836'
  last_name: Krauter
  orcid: 0000-0002-3594-260X
- first_name: Joachim
  full_name: Böcker, Joachim
  id: '66'
  last_name: Böcker
  orcid: 0000-0002-8480-7295
- first_name: Christine
  full_name: Freitag, Christine
  id: '20560'
  last_name: Freitag
- first_name: Burkhard
  full_name: Hehenkamp, Burkhard
  id: '37339'
  last_name: Hehenkamp
- first_name: Ulrich
  full_name: Hilleringmann, Ulrich
  id: '20179'
  last_name: Hilleringmann
- first_name: Katrin
  full_name: Temmen, Katrin
  id: '30086'
  last_name: Temmen
- first_name: Tobias
  full_name: Klaus, Tobias
  last_name: Klaus
- first_name: Nicolaus
  full_name: Rohrer, Nicolaus
  last_name: Rohrer
- first_name: Sven
  full_name: Lehmann, Sven
  last_name: Lehmann
citation:
  ama: 'Krauter S, Böcker J, Freitag C, et al. Projekt Art-D Grids: Nachhaltige und
    stabile Microgrids in Afrika - eine Plattform für Forschung und Lehre für die
    Entwicklung. In: <i>Tagungsband des 36. PV-Symposiums, 18.-26 Mai 2021</i>. Conexio;
    2021:305-309.'
  apa: 'Krauter, S., Böcker, J., Freitag, C., Hehenkamp, B., Hilleringmann, U., Temmen,
    K., Klaus, T., Rohrer, N., &#38; Lehmann, S. (2021). Projekt Art-D Grids: Nachhaltige
    und stabile Microgrids in Afrika - eine Plattform für Forschung und Lehre für
    die Entwicklung. <i>Tagungsband des 36. PV-Symposiums, 18.-26 Mai 2021</i>, 305–309.'
  bibtex: '@inproceedings{Krauter_Böcker_Freitag_Hehenkamp_Hilleringmann_Temmen_Klaus_Rohrer_Lehmann_2021,
    place={Pforzheim}, title={Projekt Art-D Grids: Nachhaltige und stabile Microgrids
    in Afrika - eine Plattform für Forschung und Lehre für die Entwicklung}, booktitle={Tagungsband
    des 36. PV-Symposiums, 18.-26 Mai 2021}, publisher={Conexio}, author={Krauter,
    Stefan and Böcker, Joachim and Freitag, Christine and Hehenkamp, Burkhard and
    Hilleringmann, Ulrich and Temmen, Katrin and Klaus, Tobias and Rohrer, Nicolaus
    and Lehmann, Sven}, year={2021}, pages={305–309} }'
  chicago: 'Krauter, Stefan, Joachim Böcker, Christine Freitag, Burkhard Hehenkamp,
    Ulrich Hilleringmann, Katrin Temmen, Tobias Klaus, Nicolaus Rohrer, and Sven Lehmann.
    “Projekt Art-D Grids: Nachhaltige und stabile Microgrids in Afrika - eine Plattform
    für Forschung und Lehre für die Entwicklung.” In <i>Tagungsband des 36. PV-Symposiums,
    18.-26 Mai 2021</i>, 305–9. Pforzheim: Conexio, 2021.'
  ieee: 'S. Krauter <i>et al.</i>, “Projekt Art-D Grids: Nachhaltige und stabile Microgrids
    in Afrika - eine Plattform für Forschung und Lehre für die Entwicklung,” in <i>Tagungsband
    des 36. PV-Symposiums, 18.-26 Mai 2021</i>, Staffelstein / online, 2021, pp. 305–309.'
  mla: 'Krauter, Stefan, et al. “Projekt Art-D Grids: Nachhaltige und stabile Microgrids
    in Afrika - eine Plattform für Forschung und Lehre für die Entwicklung.” <i>Tagungsband
    des 36. PV-Symposiums, 18.-26 Mai 2021</i>, Conexio, 2021, pp. 305–09.'
  short: 'S. Krauter, J. Böcker, C. Freitag, B. Hehenkamp, U. Hilleringmann, K. Temmen,
    T. Klaus, N. Rohrer, S. Lehmann, in: Tagungsband des 36. PV-Symposiums, 18.-26
    Mai 2021, Conexio, Pforzheim, 2021, pp. 305–309.'
conference:
  end_date: 2021-05-26
  location: Staffelstein / online
  name: 36. PV-Symposium
  start_date: 2021-05-18
date_created: 2021-05-20T09:58:43Z
date_updated: 2024-01-19T16:43:56Z
ddc:
- '620'
department:
- _id: '53'
- _id: '475'
- _id: '52'
- _id: '453'
- _id: '59'
- _id: '300'
file:
- access_level: closed
  content_type: application/pdf
  creator: krauter
  date_created: 2022-01-06T11:49:19Z
  date_updated: 2022-01-06T11:49:19Z
  file_id: '29170'
  file_name: Staffelstein 2021 ART-D S.305-309.pdf
  file_size: 5128404
  relation: main_file
  success: 1
file_date_updated: 2022-01-06T11:49:19Z
has_accepted_license: '1'
keyword:
- Art-D
- Afrika
- Resilienz
- Resilience
- Grid stability
- robustness
- microgrids
language:
- iso: ger
page: 305-309
place: Pforzheim
publication: Tagungsband des 36. PV-Symposiums, 18.-26 Mai 2021
publication_identifier:
  isbn:
  - 978-3-948176-14-3
publication_status: published
publisher: Conexio
quality_controlled: '1'
status: public
title: 'Projekt Art-D Grids: Nachhaltige und stabile Microgrids in Afrika - eine Plattform
  für Forschung und Lehre für die Entwicklung'
type: conference
user_id: '66'
year: '2021'
...
---
_id: '11867'
abstract:
- lang: eng
  text: 'New waves of consumer-centric applications, such as voice search and voice
    interaction with mobile devices and home entertainment systems, increasingly require
    automatic speech recognition (ASR) to be robust to the full range of real-world
    noise and other acoustic distorting conditions. Despite its practical importance,
    however, the inherent links between and distinctions among the myriad of methods
    for noise-robust ASR have yet to be carefully studied in order to advance the
    field further. To this end, it is critical to establish a solid, consistent, and
    common mathematical foundation for noise-robust ASR, which is lacking at present.
    This article is intended to fill this gap and to provide a thorough overview of
    modern noise-robust techniques for ASR developed over the past 30 years. We emphasize
    methods that are proven to be successful and that are likely to sustain or expand
    their future applicability. We distill key insights from our comprehensive overview
    in this field and take a fresh look at a few old problems, which nevertheless
    are still highly relevant today. Specifically, we have analyzed and categorized
    a wide range of noise-robust techniques using five different criteria: 1) feature-domain
    vs. model-domain processing, 2) the use of prior knowledge about the acoustic
    environment distortion, 3) the use of explicit environment-distortion models,
    4) deterministic vs. uncertainty processing, and 5) the use of acoustic models
    trained jointly with the same feature enhancement or model adaptation process
    used in the testing stage. With this taxonomy-oriented review, we equip the reader
    with the insight to choose among techniques and with the awareness of the performance-complexity
    tradeoffs. The pros and cons of using different noise-robust ASR techniques in
    practical application scenarios are provided as a guide to interested practitioners.
    The current challenges and future research directions in this field is also carefully
    analyzed.'
author:
- first_name: Jinyu
  full_name: Li, Jinyu
  last_name: Li
- first_name: Li
  full_name: Deng, Li
  last_name: Deng
- first_name: Yifan
  full_name: Gong, Yifan
  last_name: Gong
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: Li J, Deng L, Gong Y, Haeb-Umbach R. An Overview of Noise-Robust Automatic
    Speech Recognition. <i>IEEE Transactions on Audio, Speech and Language Processing</i>.
    2014;22(4):745-777. doi:<a href="https://doi.org/10.1109/TASLP.2014.2304637">10.1109/TASLP.2014.2304637</a>
  apa: Li, J., Deng, L., Gong, Y., &#38; Haeb-Umbach, R. (2014). An Overview of Noise-Robust
    Automatic Speech Recognition. <i>IEEE Transactions on Audio, Speech and Language
    Processing</i>, <i>22</i>(4), 745–777. <a href="https://doi.org/10.1109/TASLP.2014.2304637">https://doi.org/10.1109/TASLP.2014.2304637</a>
  bibtex: '@article{Li_Deng_Gong_Haeb-Umbach_2014, title={An Overview of Noise-Robust
    Automatic Speech Recognition}, volume={22}, DOI={<a href="https://doi.org/10.1109/TASLP.2014.2304637">10.1109/TASLP.2014.2304637</a>},
    number={4}, journal={IEEE Transactions on Audio, Speech and Language Processing},
    author={Li, Jinyu and Deng, Li and Gong, Yifan and Haeb-Umbach, Reinhold}, year={2014},
    pages={745–777} }'
  chicago: 'Li, Jinyu, Li Deng, Yifan Gong, and Reinhold Haeb-Umbach. “An Overview
    of Noise-Robust Automatic Speech Recognition.” <i>IEEE Transactions on Audio,
    Speech and Language Processing</i> 22, no. 4 (2014): 745–77. <a href="https://doi.org/10.1109/TASLP.2014.2304637">https://doi.org/10.1109/TASLP.2014.2304637</a>.'
  ieee: J. Li, L. Deng, Y. Gong, and R. Haeb-Umbach, “An Overview of Noise-Robust
    Automatic Speech Recognition,” <i>IEEE Transactions on Audio, Speech and Language
    Processing</i>, vol. 22, no. 4, pp. 745–777, 2014.
  mla: Li, Jinyu, et al. “An Overview of Noise-Robust Automatic Speech Recognition.”
    <i>IEEE Transactions on Audio, Speech and Language Processing</i>, vol. 22, no.
    4, 2014, pp. 745–77, doi:<a href="https://doi.org/10.1109/TASLP.2014.2304637">10.1109/TASLP.2014.2304637</a>.
  short: J. Li, L. Deng, Y. Gong, R. Haeb-Umbach, IEEE Transactions on Audio, Speech
    and Language Processing 22 (2014) 745–777.
date_created: 2019-07-12T05:29:47Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
doi: 10.1109/TASLP.2014.2304637
intvolume: '        22'
issue: '4'
keyword:
- Speech recognition
- compensation
- distortion modeling
- joint model training
- noise
- robustness
- uncertainty processing
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6732927
oa: '1'
page: 745-777
publication: IEEE Transactions on Audio, Speech and Language Processing
status: public
title: An Overview of Noise-Robust Automatic Speech Recognition
type: journal_article
user_id: '44006'
volume: 22
year: '2014'
...
---
_id: '11825'
abstract:
- lang: eng
  text: In this paper, we propose an enhanced error concealment strategy at the server
    side of a distributed speech recognition (DSR) system, which is fully compatible
    with the existing DSR standard. It is based on a Bayesian approach, where the
    a posteriori probability density of the error-free feature vector is computed,
    given all received feature vectors which are possibly corrupted by transmission
    errors. Rather than computing a point estimate, such as the MMSE estimate, and
    plugging it into the Bayesian decision rule, we employ uncertainty decoding, which
    results in an integration over the uncertainty in the feature domain. In a typical
    scenario the communication between the thin client, often a mobile device, and
    the recognition server spreads across heterogeneous networks. Both bit errors
    on circuit-switched links and lost data packets on IP connections are mitigated
    by our approach in a unified manner. The experiments reveal improved robustness
    both for small- and large-vocabulary recognition tasks.
author:
- first_name: Valentin
  full_name: Ion, Valentin
  last_name: Ion
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: Ion V, Haeb-Umbach R. Uncertainty decoding for distributed speech recognition
    over error-prone networks. <i>Speech Communication</i>. 2006;48(11):1435-1446.
    doi:<a href="https://doi.org/10.1016/j.specom.2006.03.007">10.1016/j.specom.2006.03.007</a>
  apa: Ion, V., &#38; Haeb-Umbach, R. (2006). Uncertainty decoding for distributed
    speech recognition over error-prone networks. <i>Speech Communication</i>, <i>48</i>(11),
    1435–1446. <a href="https://doi.org/10.1016/j.specom.2006.03.007">https://doi.org/10.1016/j.specom.2006.03.007</a>
  bibtex: '@article{Ion_Haeb-Umbach_2006, title={Uncertainty decoding for distributed
    speech recognition over error-prone networks}, volume={48}, DOI={<a href="https://doi.org/10.1016/j.specom.2006.03.007">10.1016/j.specom.2006.03.007</a>},
    number={11}, journal={Speech Communication}, author={Ion, Valentin and Haeb-Umbach,
    Reinhold}, year={2006}, pages={1435–1446} }'
  chicago: 'Ion, Valentin, and Reinhold Haeb-Umbach. “Uncertainty Decoding for Distributed
    Speech Recognition over Error-Prone Networks.” <i>Speech Communication</i> 48,
    no. 11 (2006): 1435–46. <a href="https://doi.org/10.1016/j.specom.2006.03.007">https://doi.org/10.1016/j.specom.2006.03.007</a>.'
  ieee: V. Ion and R. Haeb-Umbach, “Uncertainty decoding for distributed speech recognition
    over error-prone networks,” <i>Speech Communication</i>, vol. 48, no. 11, pp.
    1435–1446, 2006.
  mla: Ion, Valentin, and Reinhold Haeb-Umbach. “Uncertainty Decoding for Distributed
    Speech Recognition over Error-Prone Networks.” <i>Speech Communication</i>, vol.
    48, no. 11, 2006, pp. 1435–46, doi:<a href="https://doi.org/10.1016/j.specom.2006.03.007">10.1016/j.specom.2006.03.007</a>.
  short: V. Ion, R. Haeb-Umbach, Speech Communication 48 (2006) 1435–1446.
date_created: 2019-07-12T05:28:59Z
date_updated: 2022-01-06T06:51:10Z
department:
- _id: '54'
doi: 10.1016/j.specom.2006.03.007
intvolume: '        48'
issue: '11'
keyword:
- Channel error robustness
- Distributed speech recognition
- Soft features
- Uncertainty decoding
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2006/IoHa06-3.pdf
oa: '1'
page: 1435-1446
publication: Speech Communication
status: public
title: Uncertainty decoding for distributed speech recognition over error-prone networks
type: journal_article
user_id: '44006'
volume: 48
year: '2006'
...