---
_id: '10781'
author:
- first_name: Sven
  full_name: Hermansen, Sven
  last_name: Hermansen
citation:
  ama: Hermansen S. <i>Custom Memory Controller for ReconOS</i>. Paderborn University;
    2016.
  apa: Hermansen, S. (2016). <i>Custom Memory Controller for ReconOS</i>. Paderborn
    University.
  bibtex: '@book{Hermansen_2016, title={Custom Memory Controller for ReconOS}, publisher={Paderborn
    University}, author={Hermansen, Sven}, year={2016} }'
  chicago: Hermansen, Sven. <i>Custom Memory Controller for ReconOS</i>. Paderborn
    University, 2016.
  ieee: S. Hermansen, <i>Custom Memory Controller for ReconOS</i>. Paderborn University,
    2016.
  mla: Hermansen, Sven. <i>Custom Memory Controller for ReconOS</i>. Paderborn University,
    2016.
  short: S. Hermansen, Custom Memory Controller for ReconOS, Paderborn University,
    2016.
date_created: 2019-07-10T12:13:16Z
date_updated: 2022-01-06T06:50:50Z
department:
- _id: '78'
language:
- iso: eng
publisher: Paderborn University
status: public
title: Custom Memory Controller for ReconOS
type: bachelorsthesis
user_id: '3118'
year: '2016'
...
---
_id: '10785'
author:
- first_name: J.
  full_name: Fürnkranz, J.
  last_name: Fürnkranz
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
citation:
  ama: 'Fürnkranz J, Hüllermeier E. Preference Learning. In: Sammut C, Webb GI, eds.
    <i>Encyclopedia of Machine Learning and Data Mining</i>. Springer; 2016.'
  apa: Fürnkranz, J., &#38; Hüllermeier, E. (2016). Preference Learning. In C. Sammut
    &#38; G. I. Webb (Eds.), <i>Encyclopedia of Machine Learning and Data Mining</i>.
    Springer.
  bibtex: '@inbook{Fürnkranz_Hüllermeier_2016, title={Preference Learning}, booktitle={Encyclopedia
    of Machine Learning and Data Mining}, publisher={Springer}, author={Fürnkranz,
    J. and Hüllermeier, Eyke}, editor={Sammut, C. and Webb, G.I.Editors}, year={2016}
    }'
  chicago: Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” In <i>Encyclopedia
    of Machine Learning and Data Mining</i>, edited by C. Sammut and G.I. Webb. Springer,
    2016.
  ieee: J. Fürnkranz and E. Hüllermeier, “Preference Learning,” in <i>Encyclopedia
    of Machine Learning and Data Mining</i>, C. Sammut and G. I. Webb, Eds. Springer,
    2016.
  mla: Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” <i>Encyclopedia
    of Machine Learning and Data Mining</i>, edited by C. Sammut and G.I. Webb, Springer,
    2016.
  short: 'J. Fürnkranz, E. Hüllermeier, in: C. Sammut, G.I. Webb (Eds.), Encyclopedia
    of Machine Learning and Data Mining, Springer, 2016.'
date_created: 2019-07-10T16:00:23Z
date_updated: 2022-01-06T06:50:50Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: C.
  full_name: Sammut, C.
  last_name: Sammut
- first_name: G.I.
  full_name: Webb, G.I.
  last_name: Webb
language:
- iso: eng
publication: Encyclopedia of Machine Learning and Data Mining
publisher: Springer
status: public
title: Preference Learning
type: encyclopedia_article
user_id: '49109'
year: '2016'
...
---
_id: '1082'
author:
- first_name: Tobias
  full_name: Handirk, Tobias
  last_name: Handirk
citation:
  ama: Handirk T. <i>Über die Rolle von Informationen in Verkehrsnetzwerken</i>. Universität
    Paderborn; 2016.
  apa: Handirk, T. (2016). <i>Über die Rolle von Informationen in Verkehrsnetzwerken</i>.
    Universität Paderborn.
  bibtex: '@book{Handirk_2016, title={Über die Rolle von Informationen in Verkehrsnetzwerken},
    publisher={Universität Paderborn}, author={Handirk, Tobias}, year={2016} }'
  chicago: Handirk, Tobias. <i>Über die Rolle von Informationen in Verkehrsnetzwerken</i>.
    Universität Paderborn, 2016.
  ieee: T. Handirk, <i>Über die Rolle von Informationen in Verkehrsnetzwerken</i>.
    Universität Paderborn, 2016.
  mla: Handirk, Tobias. <i>Über die Rolle von Informationen in Verkehrsnetzwerken</i>.
    Universität Paderborn, 2016.
  short: T. Handirk, Über die Rolle von Informationen in Verkehrsnetzwerken, Universität
    Paderborn, 2016.
date_created: 2017-12-19T10:10:17Z
date_updated: 2022-01-06T06:50:51Z
department:
- _id: '63'
- _id: '541'
language:
- iso: ger
project:
- _id: '1'
  name: SFB 901
- _id: '7'
  name: SFB 901 - Subproject A3
- _id: '2'
  name: SFB 901 - Project Area A
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Alexander
  full_name: Skopalik, Alexander
  id: '40384'
  last_name: Skopalik
title: Über die Rolle von Informationen in Verkehrsnetzwerken
type: bachelorsthesis
user_id: '14052'
year: '2016'
...
---
_id: '11738'
abstract:
- lang: eng
  text: 'In this contribution we investigate a priori signal-to-noise ratio (SNR)
    estimation, a crucial component of a single-channel speech enhancement system
    based on spectral subtraction. The majority of the state-of-the art a priori SNR
    estimators work in the power spectral domain, which is, however, not confirmed
    to be the optimal domain for the estimation. Motivated by the generalized spectral
    subtraction rule, we show how the estimation of the a priori SNR can be formulated
    in the so called generalized SNR domain. This formulation allows to generalize
    the widely used decision directed (DD) approach. An experimental investigation
    with different noise types reveals the superiority of the generalized DD approach
    over the conventional DD approach in terms of both the mean opinion score - listening
    quality objective measure and the output global SNR in the medium to high input
    SNR regime, while we show that the power spectrum is the optimal domain for low
    SNR. We further develop a parameterization which adjusts the domain of estimation
    automatically according to the estimated input global SNR. Index Terms: single-channel
    speech enhancement, a priori SNR estimation, generalized spectral subtraction'
author:
- first_name: Aleksej
  full_name: Chinaev, Aleksej
  last_name: Chinaev
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Chinaev A, Haeb-Umbach R. A Priori SNR Estimation Using a Generalized Decision
    Directed Approach. In: <i>INTERSPEECH 2016, San Francisco, USA</i>. ; 2016.'
  apa: Chinaev, A., &#38; Haeb-Umbach, R. (2016). A Priori SNR Estimation Using a
    Generalized Decision Directed Approach. In <i>INTERSPEECH 2016, San Francisco,
    USA</i>.
  bibtex: '@inproceedings{Chinaev_Haeb-Umbach_2016, title={A Priori SNR Estimation
    Using a Generalized Decision Directed Approach}, booktitle={INTERSPEECH 2016,
    San Francisco, USA}, author={Chinaev, Aleksej and Haeb-Umbach, Reinhold}, year={2016}
    }'
  chicago: Chinaev, Aleksej, and Reinhold Haeb-Umbach. “A Priori SNR Estimation Using
    a Generalized Decision Directed Approach.” In <i>INTERSPEECH 2016, San Francisco,
    USA</i>, 2016.
  ieee: A. Chinaev and R. Haeb-Umbach, “A Priori SNR Estimation Using a Generalized
    Decision Directed Approach,” in <i>INTERSPEECH 2016, San Francisco, USA</i>, 2016.
  mla: Chinaev, Aleksej, and Reinhold Haeb-Umbach. “A Priori SNR Estimation Using
    a Generalized Decision Directed Approach.” <i>INTERSPEECH 2016, San Francisco,
    USA</i>, 2016.
  short: 'A. Chinaev, R. Haeb-Umbach, in: INTERSPEECH 2016, San Francisco, USA, 2016.'
date_created: 2019-07-12T05:27:18Z
date_updated: 2022-01-06T06:51:08Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2016/ChHa16.pdf
oa: '1'
publication: INTERSPEECH 2016, San Francisco, USA
related_material:
  link:
  - description: Poster
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2016/ChHa16_Poster.pdf
status: public
title: A Priori SNR Estimation Using a Generalized Decision Directed Approach
type: conference
user_id: '44006'
year: '2016'
...
---
_id: '11743'
abstract:
- lang: eng
  text: This contribution introduces a novel causal a priori signal-to-noise ratio
    (SNR) estimator for single-channel speech enhancement. To exploit the advantages
    of the generalized spectral subtraction, a normalized ?-order magnitude (NAOM)
    domain is introduced where an a priori SNR estimation is carried out. In this
    domain, the NAOM coefficients of noise and clean speech signals are modeled by
    a Weibull distribution and aWeibullmixturemodel (WMM), respectively. While the
    parameters of the noise model are calculated from the noise power spectral density
    estimates, the speechWMM parameters are estimated from the noisy signal by applying
    a causal Expectation-Maximization algorithm. Further a maximum a posteriori estimate
    of the a priori SNR is developed. The experiments in different noisy environments
    show the superiority of the proposed estimator compared to the well-known decision-directed
    approach in terms of estimation error, estimator variance and speech quality of
    the enhanced signals when used for speech enhancement.
author:
- first_name: Aleksej
  full_name: Chinaev, Aleksej
  last_name: Chinaev
- first_name: Jens
  full_name: Heitkaemper, Jens
  id: '27643'
  last_name: Heitkaemper
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Chinaev A, Heitkaemper J, Haeb-Umbach R. A Priori SNR Estimation Using Weibull
    Mixture Model. In: <i>12. ITG Fachtagung Sprachkommunikation (ITG 2016)</i>. ;
    2016.'
  apa: Chinaev, A., Heitkaemper, J., &#38; Haeb-Umbach, R. (2016). A Priori SNR Estimation
    Using Weibull Mixture Model. In <i>12. ITG Fachtagung Sprachkommunikation (ITG
    2016)</i>.
  bibtex: '@inproceedings{Chinaev_Heitkaemper_Haeb-Umbach_2016, title={A Priori SNR
    Estimation Using Weibull Mixture Model}, booktitle={12. ITG Fachtagung Sprachkommunikation
    (ITG 2016)}, author={Chinaev, Aleksej and Heitkaemper, Jens and Haeb-Umbach, Reinhold},
    year={2016} }'
  chicago: Chinaev, Aleksej, Jens Heitkaemper, and Reinhold Haeb-Umbach. “A Priori
    SNR Estimation Using Weibull Mixture Model.” In <i>12. ITG Fachtagung Sprachkommunikation
    (ITG 2016)</i>, 2016.
  ieee: A. Chinaev, J. Heitkaemper, and R. Haeb-Umbach, “A Priori SNR Estimation Using
    Weibull Mixture Model,” in <i>12. ITG Fachtagung Sprachkommunikation (ITG 2016)</i>,
    2016.
  mla: Chinaev, Aleksej, et al. “A Priori SNR Estimation Using Weibull Mixture Model.”
    <i>12. ITG Fachtagung Sprachkommunikation (ITG 2016)</i>, 2016.
  short: 'A. Chinaev, J. Heitkaemper, R. Haeb-Umbach, in: 12. ITG Fachtagung Sprachkommunikation
    (ITG 2016), 2016.'
date_created: 2019-07-12T05:27:24Z
date_updated: 2022-01-06T06:51:08Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2016/ChHeiHa16.pdf
oa: '1'
publication: 12. ITG Fachtagung Sprachkommunikation (ITG 2016)
related_material:
  link:
  - description: Presentation
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2016/ChHeiHa16_Presentation.pdf
status: public
title: A Priori SNR Estimation Using Weibull Mixture Model
type: conference
user_id: '44006'
year: '2016'
...
---
_id: '11744'
abstract:
- lang: eng
  text: A noise power spectral density (PSD) estimation is an indispensable component
    of speech spectral enhancement systems. In this paper we present a noise PSD tracking
    algorithm, which employs a noise presence probability estimate delivered by a
    deep neural network (DNN). The algorithm provides a causal noise PSD estimate
    and can thus be used in speech enhancement systems for communication purposes.
    An extensive performance comparison has been carried out with ten causal state-of-the-art
    noise tracking algorithms taken from the literature and categorized acc. to applied
    techniques. The experiments showed that the proposed DNN-based noise PSD tracker
    outperforms all competing methods with respect to all tested performance measures,
    which include the noise tracking performance and the performance of a speech enhancement
    system employing the noise tracking component.
author:
- first_name: Aleksej
  full_name: Chinaev, Aleksej
  last_name: Chinaev
- 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
citation:
  ama: 'Chinaev A, Heymann J, Drude L, Haeb-Umbach R. Noise-Presence-Probability-Based
    Noise PSD Estimation by Using DNNs. In: <i>12. ITG Fachtagung Sprachkommunikation
    (ITG 2016)</i>. ; 2016.'
  apa: Chinaev, A., Heymann, J., Drude, L., &#38; Haeb-Umbach, R. (2016). Noise-Presence-Probability-Based
    Noise PSD Estimation by Using DNNs. In <i>12. ITG Fachtagung Sprachkommunikation
    (ITG 2016)</i>.
  bibtex: '@inproceedings{Chinaev_Heymann_Drude_Haeb-Umbach_2016, title={Noise-Presence-Probability-Based
    Noise PSD Estimation by Using DNNs}, booktitle={12. ITG Fachtagung Sprachkommunikation
    (ITG 2016)}, author={Chinaev, Aleksej and Heymann, Jahn and Drude, Lukas and Haeb-Umbach,
    Reinhold}, year={2016} }'
  chicago: Chinaev, Aleksej, Jahn Heymann, Lukas Drude, and Reinhold Haeb-Umbach.
    “Noise-Presence-Probability-Based Noise PSD Estimation by Using DNNs.” In <i>12.
    ITG Fachtagung Sprachkommunikation (ITG 2016)</i>, 2016.
  ieee: A. Chinaev, J. Heymann, L. Drude, and R. Haeb-Umbach, “Noise-Presence-Probability-Based
    Noise PSD Estimation by Using DNNs,” in <i>12. ITG Fachtagung Sprachkommunikation
    (ITG 2016)</i>, 2016.
  mla: Chinaev, Aleksej, et al. “Noise-Presence-Probability-Based Noise PSD Estimation
    by Using DNNs.” <i>12. ITG Fachtagung Sprachkommunikation (ITG 2016)</i>, 2016.
  short: 'A. Chinaev, J. Heymann, L. Drude, R. Haeb-Umbach, in: 12. ITG Fachtagung
    Sprachkommunikation (ITG 2016), 2016.'
date_created: 2019-07-12T05:27:25Z
date_updated: 2022-01-06T06:51:08Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2016/ChHeyDrHa16.pdf
oa: '1'
publication: 12. ITG Fachtagung Sprachkommunikation (ITG 2016)
related_material:
  link:
  - description: Presentation
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2016/ChHeyDrHa16_Presentation.pdf
status: public
title: Noise-Presence-Probability-Based Noise PSD Estimation by Using DNNs
type: conference
user_id: '44006'
year: '2016'
...
---
_id: '11751'
author:
- first_name: Lukas
  full_name: Drude, Lukas
  id: '11213'
  last_name: Drude
- first_name: Christoph
  full_name: Boeddeker, Christoph
  id: '40767'
  last_name: Boeddeker
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Drude L, Boeddeker C, Haeb-Umbach R. Blind Speech Separation based on Complex
    Spherical k-Mode Clustering. In: <i>Proc. IEEE Intl. Conf. on Acoustics, Speech
    and Signal Processing (ICASSP)</i>. ; 2016.'
  apa: Drude, L., Boeddeker, C., &#38; Haeb-Umbach, R. (2016). Blind Speech Separation
    based on Complex Spherical k-Mode Clustering. In <i>Proc. IEEE Intl. Conf. on
    Acoustics, Speech and Signal Processing (ICASSP)</i>.
  bibtex: '@inproceedings{Drude_Boeddeker_Haeb-Umbach_2016, title={Blind Speech Separation
    based on Complex Spherical k-Mode Clustering}, booktitle={Proc. IEEE Intl. Conf.
    on Acoustics, Speech and Signal Processing (ICASSP)}, author={Drude, Lukas and
    Boeddeker, Christoph and Haeb-Umbach, Reinhold}, year={2016} }'
  chicago: Drude, Lukas, Christoph Boeddeker, and Reinhold Haeb-Umbach. “Blind Speech
    Separation Based on Complex Spherical K-Mode Clustering.” In <i>Proc. IEEE Intl.
    Conf. on Acoustics, Speech and Signal Processing (ICASSP)</i>, 2016.
  ieee: L. Drude, C. Boeddeker, and R. Haeb-Umbach, “Blind Speech Separation based
    on Complex Spherical k-Mode Clustering,” in <i>Proc. IEEE Intl. Conf. on Acoustics,
    Speech and Signal Processing (ICASSP)</i>, 2016.
  mla: Drude, Lukas, et al. “Blind Speech Separation Based on Complex Spherical K-Mode
    Clustering.” <i>Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing
    (ICASSP)</i>, 2016.
  short: 'L. Drude, C. Boeddeker, R. Haeb-Umbach, in: Proc. IEEE Intl. Conf. on Acoustics,
    Speech and Signal Processing (ICASSP), 2016.'
date_created: 2019-07-12T05:27:33Z
date_updated: 2022-01-06T06:51:08Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2016/icassp_2016_drude_paper.pdf
oa: '1'
publication: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP)
related_material:
  link:
  - description: Slides
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2016/icassp_2016_drude_slides.pdf
status: public
title: Blind Speech Separation based on Complex Spherical k-Mode Clustering
type: conference
user_id: '44006'
year: '2016'
...
---
_id: '11756'
abstract:
- lang: eng
  text: Although complex-valued neural networks (CVNNs) â?? networks which can operate
    with complex arithmetic â?? have been around for a while, they have not been given
    reconsideration since the breakthrough of deep network architectures. This paper
    presents a critical assessment whether the novel tool set of deep neural networks
    (DNNs) should be extended to complex-valued arithmetic. Indeed, with DNNs making
    inroads in speech enhancement tasks, the use of complex-valued input data, specifically
    the short-time Fourier transform coefficients, is an obvious consideration. In
    particular when it comes to performing tasks that heavily rely on phase information,
    such as acoustic beamforming, complex-valued algorithms are omnipresent. In this
    contribution we recapitulate backpropagation in CVNNs, develop complex-valued
    network elements, such as the split-rectified non-linearity, and compare real-
    and complex-valued networks on a beamforming task. We find that CVNNs hardly provide
    a performance gain and conclude that the effort of developing the complex-valued
    counterparts of the building blocks of modern deep or recurrent neural networks
    can hardly be justified.
author:
- first_name: Lukas
  full_name: Drude, Lukas
  id: '11213'
  last_name: Drude
- first_name: Bhiksha
  full_name: Raj, Bhiksha
  last_name: Raj
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Drude L, Raj B, Haeb-Umbach R. On the appropriateness of complex-valued neural
    networks for speech enhancement. In: <i>INTERSPEECH 2016, San Francisco, USA</i>.
    ; 2016.'
  apa: Drude, L., Raj, B., &#38; Haeb-Umbach, R. (2016). On the appropriateness of
    complex-valued neural networks for speech enhancement. In <i>INTERSPEECH 2016,
    San Francisco, USA</i>.
  bibtex: '@inproceedings{Drude_Raj_Haeb-Umbach_2016, title={On the appropriateness
    of complex-valued neural networks for speech enhancement}, booktitle={INTERSPEECH
    2016, San Francisco, USA}, author={Drude, Lukas and Raj, Bhiksha and Haeb-Umbach,
    Reinhold}, year={2016} }'
  chicago: Drude, Lukas, Bhiksha Raj, and Reinhold Haeb-Umbach. “On the Appropriateness
    of Complex-Valued Neural Networks for Speech Enhancement.” In <i>INTERSPEECH 2016,
    San Francisco, USA</i>, 2016.
  ieee: L. Drude, B. Raj, and R. Haeb-Umbach, “On the appropriateness of complex-valued
    neural networks for speech enhancement,” in <i>INTERSPEECH 2016, San Francisco,
    USA</i>, 2016.
  mla: Drude, Lukas, et al. “On the Appropriateness of Complex-Valued Neural Networks
    for Speech Enhancement.” <i>INTERSPEECH 2016, San Francisco, USA</i>, 2016.
  short: 'L. Drude, B. Raj, R. Haeb-Umbach, in: INTERSPEECH 2016, San Francisco, USA,
    2016.'
date_created: 2019-07-12T05:27:39Z
date_updated: 2022-01-06T06:51:08Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2016/interspeech_2016_drude_paper.pdf
oa: '1'
publication: INTERSPEECH 2016, San Francisco, USA
related_material:
  link:
  - description: Poster
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2016/interspeech_2016_drude_slides.pdf
status: public
title: On the appropriateness of complex-valued neural networks for speech enhancement
type: conference
user_id: '44006'
year: '2016'
...
---
_id: '11771'
abstract:
- lang: eng
  text: This paper is concerned with speech presence probability estimation employing
    an explicit model of the temporal and spectral correlations of speech. An undirected
    graphical model is introduced, based on a Factor Graph formulation. It is shown
    that this undirected model cures some of the theoretical issues of an earlier
    directed graphical model. Furthermore, we formulate a message passing inference
    scheme based on an approximate graph factorization, identify this inference scheme
    as a particular message passing schedule based on the turbo principle and suggest
    further alternative schedules. The experiments show an improved performance over
    speech presence probability estimation based on an IID assumption, and a slightly
    better performance of the turbo schedule over the alternatives.
author:
- first_name: Thomas
  full_name: Glarner, Thomas
  id: '14169'
  last_name: Glarner
- first_name: Mohammad
  full_name: Mahdi Momenzadeh, Mohammad
  last_name: Mahdi Momenzadeh
- 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: 'Glarner T, Mahdi Momenzadeh M, Drude L, Haeb-Umbach R. Factor Graph Decoding
    for Speech Presence Probability Estimation. In: <i>12. ITG Fachtagung Sprachkommunikation
    (ITG 2016)</i>. ; 2016.'
  apa: Glarner, T., Mahdi Momenzadeh, M., Drude, L., &#38; Haeb-Umbach, R. (2016).
    Factor Graph Decoding for Speech Presence Probability Estimation. In <i>12. ITG
    Fachtagung Sprachkommunikation (ITG 2016)</i>.
  bibtex: '@inproceedings{Glarner_Mahdi Momenzadeh_Drude_Haeb-Umbach_2016, title={Factor
    Graph Decoding for Speech Presence Probability Estimation}, booktitle={12. ITG
    Fachtagung Sprachkommunikation (ITG 2016)}, author={Glarner, Thomas and Mahdi
    Momenzadeh, Mohammad and Drude, Lukas and Haeb-Umbach, Reinhold}, year={2016}
    }'
  chicago: Glarner, Thomas, Mohammad Mahdi Momenzadeh, Lukas Drude, and Reinhold Haeb-Umbach.
    “Factor Graph Decoding for Speech Presence Probability Estimation.” In <i>12.
    ITG Fachtagung Sprachkommunikation (ITG 2016)</i>, 2016.
  ieee: T. Glarner, M. Mahdi Momenzadeh, L. Drude, and R. Haeb-Umbach, “Factor Graph
    Decoding for Speech Presence Probability Estimation,” in <i>12. ITG Fachtagung
    Sprachkommunikation (ITG 2016)</i>, 2016.
  mla: Glarner, Thomas, et al. “Factor Graph Decoding for Speech Presence Probability
    Estimation.” <i>12. ITG Fachtagung Sprachkommunikation (ITG 2016)</i>, 2016.
  short: 'T. Glarner, M. Mahdi Momenzadeh, L. Drude, R. Haeb-Umbach, in: 12. ITG Fachtagung
    Sprachkommunikation (ITG 2016), 2016.'
date_created: 2019-07-12T05:27:56Z
date_updated: 2022-01-06T06:51:08Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2016/itgspeech2016_08_Glarner.pdf
oa: '1'
publication: 12. ITG Fachtagung Sprachkommunikation (ITG 2016)
related_material:
  link:
  - description: Slides
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2016/itgspeech2016_08_Glarner_slides.pdf
status: public
title: Factor Graph Decoding for Speech Presence Probability Estimation
type: conference
user_id: '44006'
year: '2016'
...
---
_id: '11812'
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
citation:
  ama: 'Heymann J, Drude L, Haeb-Umbach R. Neural Network Based Spectral Mask Estimation
    for Acoustic Beamforming. In: <i>Proc. IEEE Intl. Conf. on Acoustics, Speech and
    Signal Processing (ICASSP)</i>. ; 2016.'
  apa: Heymann, J., Drude, L., &#38; Haeb-Umbach, R. (2016). Neural Network Based
    Spectral Mask Estimation for Acoustic Beamforming. In <i>Proc. IEEE Intl. Conf.
    on Acoustics, Speech and Signal Processing (ICASSP)</i>.
  bibtex: '@inproceedings{Heymann_Drude_Haeb-Umbach_2016, title={Neural Network Based
    Spectral Mask Estimation for Acoustic Beamforming}, booktitle={Proc. IEEE Intl.
    Conf. on Acoustics, Speech and Signal Processing (ICASSP)}, author={Heymann, Jahn
    and Drude, Lukas and Haeb-Umbach, Reinhold}, year={2016} }'
  chicago: Heymann, Jahn, Lukas Drude, and Reinhold Haeb-Umbach. “Neural Network Based
    Spectral Mask Estimation for Acoustic Beamforming.” In <i>Proc. IEEE Intl. Conf.
    on Acoustics, Speech and Signal Processing (ICASSP)</i>, 2016.
  ieee: J. Heymann, L. Drude, and R. Haeb-Umbach, “Neural Network Based Spectral Mask
    Estimation for Acoustic Beamforming,” in <i>Proc. IEEE Intl. Conf. on Acoustics,
    Speech and Signal Processing (ICASSP)</i>, 2016.
  mla: Heymann, Jahn, et al. “Neural Network Based Spectral Mask Estimation for Acoustic
    Beamforming.” <i>Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing
    (ICASSP)</i>, 2016.
  short: 'J. Heymann, L. Drude, R. Haeb-Umbach, in: Proc. IEEE Intl. Conf. on Acoustics,
    Speech and Signal Processing (ICASSP), 2016.'
date_created: 2019-07-12T05:28:44Z
date_updated: 2022-01-06T06:51:09Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2016/icassp_2016_heymann_paper.pdf
oa: '1'
publication: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP)
related_material:
  link:
  - description: Slides
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2016/icassp_2016_heymann_slides.pdf
status: public
title: Neural Network Based Spectral Mask Estimation for Acoustic Beamforming
type: conference
user_id: '44006'
year: '2016'
...
---
_id: '11829'
abstract:
- lang: eng
  text: 'This contribution investigates Direction of Arrival (DoA) estimation using
    linearly arranged microphone arrays. We are going to develop a model for the DoA
    estimation error in a reverberant scenario and show the existence of a bias, that
    is a consequence of the linear arrangement and limited field of view (FoV) bias:
    First, the limited FoV leading to a clipping of the measurements, and, second,
    the angular distribution of the signal energy of the reflections being non-uniform.
    Since both issues are a consequence of the linear arrangement of the sensors,
    the bias arises largely independent of the kind of DoA estimator. The experimental
    evaluation demonstrates the existence of the bias for a selected number of DoA
    estimation methods and proves that the prediction from the developed theoretical
    model matches the simulation results.'
author:
- first_name: Florian
  full_name: Jacob, Florian
  last_name: Jacob
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Jacob F, Haeb-Umbach R. On the Bias of Direction of Arrival Estimation Using
    Linear Microphone Arrays. In: <i>12. ITG Fachtagung Sprachkommunikation (ITG 2016)</i>.
    ; 2016.'
  apa: Jacob, F., &#38; Haeb-Umbach, R. (2016). On the Bias of Direction of Arrival
    Estimation Using Linear Microphone Arrays. In <i>12. ITG Fachtagung Sprachkommunikation
    (ITG 2016)</i>.
  bibtex: '@inproceedings{Jacob_Haeb-Umbach_2016, title={On the Bias of Direction
    of Arrival Estimation Using Linear Microphone Arrays}, booktitle={12. ITG Fachtagung
    Sprachkommunikation (ITG 2016)}, author={Jacob, Florian and Haeb-Umbach, Reinhold},
    year={2016} }'
  chicago: Jacob, Florian, and Reinhold Haeb-Umbach. “On the Bias of Direction of
    Arrival Estimation Using Linear Microphone Arrays.” In <i>12. ITG Fachtagung Sprachkommunikation
    (ITG 2016)</i>, 2016.
  ieee: F. Jacob and R. Haeb-Umbach, “On the Bias of Direction of Arrival Estimation
    Using Linear Microphone Arrays,” in <i>12. ITG Fachtagung Sprachkommunikation
    (ITG 2016)</i>, 2016.
  mla: Jacob, Florian, and Reinhold Haeb-Umbach. “On the Bias of Direction of Arrival
    Estimation Using Linear Microphone Arrays.” <i>12. ITG Fachtagung Sprachkommunikation
    (ITG 2016)</i>, 2016.
  short: 'F. Jacob, R. Haeb-Umbach, in: 12. ITG Fachtagung Sprachkommunikation (ITG
    2016), 2016.'
date_created: 2019-07-12T05:29:03Z
date_updated: 2022-01-06T06:51:10Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2016/JacobHaeb_ITG2016.pdf
oa: '1'
publication: 12. ITG Fachtagung Sprachkommunikation (ITG 2016)
related_material:
  link:
  - description: Poster
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2016/JacobHaeb_ITG2016_poster.pdf
status: public
title: On the Bias of Direction of Arrival Estimation Using Linear Microphone Arrays
type: conference
user_id: '44006'
year: '2016'
...
---
_id: '11834'
abstract:
- lang: eng
  text: We present a system for the 4th CHiME challenge which significantly increases
    the performance for all three tracks with respect to the provided baseline system.
    The front-end uses a bi-directional Long Short-Term Memory (BLSTM)-based neural
    network to estimate signal statistics. These then steer a Generalized Eigenvalue
    beamformer. The back-end consists of a 22 layer deep Wide Residual Network and
    two extra BLSTM layers. Working on a whole utterance instead of frames allows
    us to refine Batch-Normalization. We also train our own BLSTM-based language model.
    Adding a discriminative speaker adaptation leads to further gains. The final system
    achieves a word error rate on the six channel real test data of 3.48%. For the
    two channel track we achieve 5.96% and for the one channel track 9.34%. This is
    the best reported performance on the challenge achieved by a single system, i.e.,
    a configuration, which does not combine multiple systems. At the same time, our
    system is independent of the microphone configuration. We can thus use the same
    components for all three tracks.
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
citation:
  ama: 'Heymann J, Drude L, Haeb-Umbach R. Wide Residual BLSTM Network with Discriminative
    Speaker Adaptation for Robust Speech Recognition. In: <i>Computer Speech and Language</i>.
    ; 2016.'
  apa: Heymann, J., Drude, L., &#38; Haeb-Umbach, R. (2016). Wide Residual BLSTM Network
    with Discriminative Speaker Adaptation for Robust Speech Recognition. In <i>Computer
    Speech and Language</i>.
  bibtex: '@inproceedings{Heymann_Drude_Haeb-Umbach_2016, title={Wide Residual BLSTM
    Network with Discriminative Speaker Adaptation for Robust Speech Recognition},
    booktitle={Computer Speech and Language}, author={Heymann, Jahn and Drude, Lukas
    and Haeb-Umbach, Reinhold}, year={2016} }'
  chicago: Heymann, Jahn, Lukas Drude, and Reinhold Haeb-Umbach. “Wide Residual BLSTM
    Network with Discriminative Speaker Adaptation for Robust Speech Recognition.”
    In <i>Computer Speech and Language</i>, 2016.
  ieee: J. Heymann, L. Drude, and R. Haeb-Umbach, “Wide Residual BLSTM Network with
    Discriminative Speaker Adaptation for Robust Speech Recognition,” in <i>Computer
    Speech and Language</i>, 2016.
  mla: Heymann, Jahn, et al. “Wide Residual BLSTM Network with Discriminative Speaker
    Adaptation for Robust Speech Recognition.” <i>Computer Speech and Language</i>,
    2016.
  short: 'J. Heymann, L. Drude, R. Haeb-Umbach, in: Computer Speech and Language,
    2016.'
date_created: 2019-07-12T05:29:09Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2016/chime4_upbonly_paper.pdf
oa: '1'
publication: Computer Speech and Language
related_material:
  link:
  - description: Poster
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2016/chime4_upbonly_poster.pdf
status: public
title: Wide Residual BLSTM Network with Discriminative Speaker Adaptation for Robust
  Speech Recognition
type: conference
user_id: '44006'
year: '2016'
...
---
_id: '11840'
author:
- first_name: Keisuke
  full_name: Kinoshita, Keisuke
  last_name: Kinoshita
- first_name: Marc
  full_name: Delcroix, Marc
  last_name: Delcroix
- first_name: Sharon
  full_name: Gannot, Sharon
  last_name: Gannot
- first_name: Emanuel A. P.
  full_name: Habets, Emanuel A. P.
  last_name: Habets
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
- first_name: Walter
  full_name: Kellermann, Walter
  last_name: Kellermann
- first_name: Volker
  full_name: Leutnant, Volker
  last_name: Leutnant
- first_name: Roland
  full_name: Maas, Roland
  last_name: Maas
- first_name: Tomohiro
  full_name: Nakatani, Tomohiro
  last_name: Nakatani
- first_name: Bhiksha
  full_name: Raj, Bhiksha
  last_name: Raj
- first_name: Armin
  full_name: Sehr, Armin
  last_name: Sehr
- first_name: Takuya
  full_name: Yoshioka, Takuya
  last_name: Yoshioka
citation:
  ama: 'Kinoshita K, Delcroix M, Gannot S, et al. A summary of the REVERB challenge:
    state-of-the-art and remaining challenges in reverberant speech processing research.
    <i>EURASIP Journal on Advances in Signal Processing</i>. 2016.'
  apa: 'Kinoshita, K., Delcroix, M., Gannot, S., Habets, E. A. P., Haeb-Umbach, R.,
    Kellermann, W., … Yoshioka, T. (2016). A summary of the REVERB challenge: state-of-the-art
    and remaining challenges in reverberant speech processing research. <i>EURASIP
    Journal on Advances in Signal Processing</i>.'
  bibtex: '@article{Kinoshita_Delcroix_Gannot_Habets_Haeb-Umbach_Kellermann_Leutnant_Maas_Nakatani_Raj_et
    al._2016, title={A summary of the REVERB challenge: state-of-the-art and remaining
    challenges in reverberant speech processing research}, journal={EURASIP Journal
    on Advances in Signal Processing}, author={Kinoshita, Keisuke and Delcroix, Marc
    and Gannot, Sharon and Habets, Emanuel A. P. and Haeb-Umbach, Reinhold and Kellermann,
    Walter and Leutnant, Volker and Maas, Roland and Nakatani, Tomohiro and Raj, Bhiksha
    and et al.}, year={2016} }'
  chicago: 'Kinoshita, Keisuke, Marc Delcroix, Sharon Gannot, Emanuel A. P. Habets,
    Reinhold Haeb-Umbach, Walter Kellermann, Volker Leutnant, et al. “A Summary of
    the REVERB Challenge: State-of-the-Art and Remaining Challenges in Reverberant
    Speech Processing Research.” <i>EURASIP Journal on Advances in Signal Processing</i>,
    2016.'
  ieee: 'K. Kinoshita <i>et al.</i>, “A summary of the REVERB challenge: state-of-the-art
    and remaining challenges in reverberant speech processing research,” <i>EURASIP
    Journal on Advances in Signal Processing</i>, 2016.'
  mla: 'Kinoshita, Keisuke, et al. “A Summary of the REVERB Challenge: State-of-the-Art
    and Remaining Challenges in Reverberant Speech Processing Research.” <i>EURASIP
    Journal on Advances in Signal Processing</i>, 2016.'
  short: K. Kinoshita, M. Delcroix, S. Gannot, E.A.P. Habets, R. Haeb-Umbach, W. Kellermann,
    V. Leutnant, R. Maas, T. Nakatani, B. Raj, A. Sehr, T. Yoshioka, EURASIP Journal
    on Advances in Signal Processing (2016).
date_created: 2019-07-12T05:29:16Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2016/REVERB_summary.pdf
oa: '1'
publication: EURASIP Journal on Advances in Signal Processing
status: public
title: 'A summary of the REVERB challenge: state-of-the-art and remaining challenges
  in reverberant speech processing research'
type: journal_article
user_id: '44006'
year: '2016'
...
---
_id: '11886'
abstract:
- lang: eng
  text: Today, we are often surrounded by devices with one or more microphones, such
    as smartphones, laptops, and wireless microphones. If they are part of an acoustic
    sensor network, their distribution in the environment can be beneficially exploited
    for various speech processing tasks. However, applications like speaker localization,
    speaker tracking, and speech enhancement by beamforming avail themselves of the
    geometrical configuration of the sensors. Therefore, acoustic microphone geometry
    calibration has recently become a very active field of research. This article
    provides an application-oriented, comprehensive survey of existing methods for
    microphone position self-calibration, which will be categorized by the measurements
    they use and the scenarios they can calibrate. Selected methods will be evaluated
    comparatively with real-world recordings.
author:
- first_name: Axel
  full_name: Plinge, Axel
  last_name: Plinge
- first_name: Florian
  full_name: Jacob, Florian
  last_name: Jacob
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
- first_name: Gernot A.
  full_name: Fink, Gernot A.
  last_name: Fink
citation:
  ama: 'Plinge A, Jacob F, Haeb-Umbach R, Fink GA. Acoustic Microphone Geometry Calibration:
    An overview and experimental evaluation of state-of-the-art algorithms. <i>IEEE
    Signal Processing Magazine</i>. 2016;33(4):14-29. doi:<a href="https://doi.org/10.1109/MSP.2016.2555198">10.1109/MSP.2016.2555198</a>'
  apa: 'Plinge, A., Jacob, F., Haeb-Umbach, R., &#38; Fink, G. A. (2016). Acoustic
    Microphone Geometry Calibration: An overview and experimental evaluation of state-of-the-art
    algorithms. <i>IEEE Signal Processing Magazine</i>, <i>33</i>(4), 14–29. <a href="https://doi.org/10.1109/MSP.2016.2555198">https://doi.org/10.1109/MSP.2016.2555198</a>'
  bibtex: '@article{Plinge_Jacob_Haeb-Umbach_Fink_2016, title={Acoustic Microphone
    Geometry Calibration: An overview and experimental evaluation of state-of-the-art
    algorithms}, volume={33}, DOI={<a href="https://doi.org/10.1109/MSP.2016.2555198">10.1109/MSP.2016.2555198</a>},
    number={4}, journal={IEEE Signal Processing Magazine}, author={Plinge, Axel and
    Jacob, Florian and Haeb-Umbach, Reinhold and Fink, Gernot A.}, year={2016}, pages={14–29}
    }'
  chicago: 'Plinge, Axel, Florian Jacob, Reinhold Haeb-Umbach, and Gernot A. Fink.
    “Acoustic Microphone Geometry Calibration: An Overview and Experimental Evaluation
    of State-of-the-Art Algorithms.” <i>IEEE Signal Processing Magazine</i> 33, no.
    4 (2016): 14–29. <a href="https://doi.org/10.1109/MSP.2016.2555198">https://doi.org/10.1109/MSP.2016.2555198</a>.'
  ieee: 'A. Plinge, F. Jacob, R. Haeb-Umbach, and G. A. Fink, “Acoustic Microphone
    Geometry Calibration: An overview and experimental evaluation of state-of-the-art
    algorithms,” <i>IEEE Signal Processing Magazine</i>, vol. 33, no. 4, pp. 14–29,
    2016.'
  mla: 'Plinge, Axel, et al. “Acoustic Microphone Geometry Calibration: An Overview
    and Experimental Evaluation of State-of-the-Art Algorithms.” <i>IEEE Signal Processing
    Magazine</i>, vol. 33, no. 4, 2016, pp. 14–29, doi:<a href="https://doi.org/10.1109/MSP.2016.2555198">10.1109/MSP.2016.2555198</a>.'
  short: A. Plinge, F. Jacob, R. Haeb-Umbach, G.A. Fink, IEEE Signal Processing Magazine
    33 (2016) 14–29.
date_created: 2019-07-12T05:30:09Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
doi: 10.1109/MSP.2016.2555198
intvolume: '        33'
issue: '4'
keyword:
- Acoustic sensors
- Microphones
- Portable computers
- Smart phones
- Wireless communication
- Wireless sensor networks
language:
- iso: eng
page: 14-29
publication: IEEE Signal Processing Magazine
publication_identifier:
  issn:
  - 1053-5888
status: public
title: 'Acoustic Microphone Geometry Calibration: An overview and experimental evaluation
  of state-of-the-art algorithms'
type: journal_article
user_id: '44006'
volume: 33
year: '2016'
...
---
_id: '1190'
author:
- first_name: Tobias
  full_name: Isenberg, Tobias
  last_name: Isenberg
citation:
  ama: Isenberg T. <i>Induction-Based Verification of Timed Systems</i>. Universität
    Paderborn; 2016.
  apa: Isenberg, T. (2016). <i>Induction-based Verification of Timed Systems</i>.
    Universität Paderborn.
  bibtex: '@book{Isenberg_2016, title={Induction-based Verification of Timed Systems},
    publisher={Universität Paderborn}, author={Isenberg, Tobias}, year={2016} }'
  chicago: Isenberg, Tobias. <i>Induction-Based Verification of Timed Systems</i>.
    Universität Paderborn, 2016.
  ieee: T. Isenberg, <i>Induction-based Verification of Timed Systems</i>. Universität
    Paderborn, 2016.
  mla: Isenberg, Tobias. <i>Induction-Based Verification of Timed Systems</i>. Universität
    Paderborn, 2016.
  short: T. Isenberg, Induction-Based Verification of Timed Systems, Universität Paderborn,
    2016.
date_created: 2018-03-05T10:11:48Z
date_updated: 2022-01-06T06:51:12Z
ddc:
- '040'
department:
- _id: '77'
file:
- access_level: closed
  content_type: application/pdf
  creator: florida
  date_created: 2018-03-08T06:23:21Z
  date_updated: 2018-03-08T09:14:11Z
  file_id: '1195'
  file_name: 1190-thesis_abgabeversion.pdf
  file_size: 3354335
  relation: main_file
file_date_updated: 2018-03-08T09:14:11Z
has_accepted_license: '1'
project:
- _id: '1'
  name: SFB 901
- _id: '12'
  name: SFB 901 - Subproject B4
- _id: '3'
  name: SFB 901 - Project Area B
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Heike
  full_name: Wehrheim, Heike
  id: '573'
  last_name: Wehrheim
title: Induction-based Verification of Timed Systems
type: dissertation
user_id: '477'
year: '2016'
...
---
_id: '11908'
abstract:
- lang: eng
  text: 'This paper describes automatic speech recognition (ASR) systems developed
    jointly by RWTH, UPB and FORTH for the 1ch, 2ch and 6ch track of the 4th CHiME
    Challenge. In the 2ch and 6ch tracks the final system output is obtained by a
    Confusion Network Combination (CNC) of multiple systems. The Acoustic Model (AM)
    is a deep neural network based on Bidirectional Long Short-Term Memory (BLSTM)
    units. The systems differ by front ends and training sets used for the acoustic
    training. The model for the 1ch track is trained without any preprocessing. For
    each front end we trained and evaluated individual acoustic models. We compare
    the ASR performance of different beamforming approaches: a conventional superdirective
    beamformer [1] and an MVDR beamformer as in [2], where the steering vector is
    estimated based on [3]. Furthermore we evaluated a BLSTM supported Generalized
    Eigenvalue beamformer using NN-GEV [4]. The back end is implemented using RWTH?s
    open-source toolkits RASR [5], RETURNN [6] and rwthlm [7]. We rescore lattices
    with a Long Short-Term Memory (LSTM) based language model. The overall best results
    are obtained by a system combination that includes the lattices from the system
    of UPB?s submission [8]. Our final submission scored second in each of the three
    tracks of the 4th CHiME Challenge.'
author:
- first_name: Tobias
  full_name: Menne, Tobias
  last_name: Menne
- first_name: Jahn
  full_name: Heymann, Jahn
  id: '9168'
  last_name: Heymann
- first_name: Anastasios
  full_name: Alexandridis, Anastasios
  last_name: Alexandridis
- first_name: Kazuki
  full_name: Irie, Kazuki
  last_name: Irie
- first_name: Albert
  full_name: Zeyer, Albert
  last_name: Zeyer
- first_name: Markus
  full_name: Kitza, Markus
  last_name: Kitza
- first_name: Pavel
  full_name: Golik, Pavel
  last_name: Golik
- first_name: Ilia
  full_name: Kulikov, Ilia
  last_name: Kulikov
- first_name: Lukas
  full_name: Drude, Lukas
  id: '11213'
  last_name: Drude
- first_name: Ralf
  full_name: Schlüter, Ralf
  last_name: Schlüter
- first_name: Hermann
  full_name: Ney, Hermann
  last_name: Ney
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
- first_name: Athanasios
  full_name: Mouchtaris, Athanasios
  last_name: Mouchtaris
citation:
  ama: 'Menne T, Heymann J, Alexandridis A, et al. The RWTH/UPB/FORTH System Combination
    for the 4th CHiME Challenge Evaluation. In: <i>Computer Speech and Language</i>.
    ; 2016.'
  apa: Menne, T., Heymann, J., Alexandridis, A., Irie, K., Zeyer, A., Kitza, M., …
    Mouchtaris, A. (2016). The RWTH/UPB/FORTH System Combination for the 4th CHiME
    Challenge Evaluation. In <i>Computer Speech and Language</i>.
  bibtex: '@inproceedings{Menne_Heymann_Alexandridis_Irie_Zeyer_Kitza_Golik_Kulikov_Drude_Schlüter_et
    al._2016, title={The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge
    Evaluation}, booktitle={Computer Speech and Language}, author={Menne, Tobias and
    Heymann, Jahn and Alexandridis, Anastasios and Irie, Kazuki and Zeyer, Albert
    and Kitza, Markus and Golik, Pavel and Kulikov, Ilia and Drude, Lukas and Schlüter,
    Ralf and et al.}, year={2016} }'
  chicago: Menne, Tobias, Jahn Heymann, Anastasios Alexandridis, Kazuki Irie, Albert
    Zeyer, Markus Kitza, Pavel Golik, et al. “The RWTH/UPB/FORTH System Combination
    for the 4th CHiME Challenge Evaluation.” In <i>Computer Speech and Language</i>,
    2016.
  ieee: T. Menne <i>et al.</i>, “The RWTH/UPB/FORTH System Combination for the 4th
    CHiME Challenge Evaluation,” in <i>Computer Speech and Language</i>, 2016.
  mla: Menne, Tobias, et al. “The RWTH/UPB/FORTH System Combination for the 4th CHiME
    Challenge Evaluation.” <i>Computer Speech and Language</i>, 2016.
  short: 'T. Menne, J. Heymann, A. Alexandridis, K. Irie, A. Zeyer, M. Kitza, P. Golik,
    I. Kulikov, L. Drude, R. Schlüter, H. Ney, R. Haeb-Umbach, A. Mouchtaris, in:
    Computer Speech and Language, 2016.'
date_created: 2019-07-12T05:30:35Z
date_updated: 2022-01-06T06:51:12Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2016/chime4_rwthupbforth_paper.pdf
oa: '1'
publication: Computer Speech and Language
status: public
title: The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation
type: conference
user_id: '44006'
year: '2016'
...
---
_id: '11920'
abstract:
- lang: eng
  text: In this paper we demonstrate an algorithm to learn words from speech using
    non-parametric Bayesian hierarchical models in an unsupervised setting. We exploit
    the assumption of a hierarchical structure of speech, namely the formation of
    spoken words as a sequence of phonemes. We employ the Nested Hierarchical Pitman-Yor
    Language Model, which allows an a priori unknown and possibly unlimited number
    of words. We assume the n-gram probabilities of words, the m-gram probabilities
    of phoneme sequences in words and the phoneme sequences of the words themselves
    as latent variables to be learned. We evaluate the algorithm on a cross language
    task using an existing speech recognizer trained on English speech to decode speech
    in the Xitsonga language supplied for the 2015 ZeroSpeech challenge. We apply
    the learning algorithm on the resulting phoneme graphs and achieve the highest
    token precision and F score compared to present systems.
author:
- first_name: Oliver
  full_name: Walter, Oliver
  last_name: Walter
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Walter O, Haeb-Umbach R. Unsupervised Word Discovery from Speech using Bayesian
    Hierarchical Models. In: <i>38th German Conference on Pattern Recognition (GCPR
    2016)</i>. ; 2016.'
  apa: Walter, O., &#38; Haeb-Umbach, R. (2016). Unsupervised Word Discovery from
    Speech using Bayesian Hierarchical Models. In <i>38th German Conference on Pattern
    Recognition (GCPR 2016)</i>.
  bibtex: '@inproceedings{Walter_Haeb-Umbach_2016, title={Unsupervised Word Discovery
    from Speech using Bayesian Hierarchical Models}, booktitle={38th German Conference
    on Pattern Recognition (GCPR 2016)}, author={Walter, Oliver and Haeb-Umbach, Reinhold},
    year={2016} }'
  chicago: Walter, Oliver, and Reinhold Haeb-Umbach. “Unsupervised Word Discovery
    from Speech Using Bayesian Hierarchical Models.” In <i>38th German Conference
    on Pattern Recognition (GCPR 2016)</i>, 2016.
  ieee: O. Walter and R. Haeb-Umbach, “Unsupervised Word Discovery from Speech using
    Bayesian Hierarchical Models,” in <i>38th German Conference on Pattern Recognition
    (GCPR 2016)</i>, 2016.
  mla: Walter, Oliver, and Reinhold Haeb-Umbach. “Unsupervised Word Discovery from
    Speech Using Bayesian Hierarchical Models.” <i>38th German Conference on Pattern
    Recognition (GCPR 2016)</i>, 2016.
  short: 'O. Walter, R. Haeb-Umbach, in: 38th German Conference on Pattern Recognition
    (GCPR 2016), 2016.'
date_created: 2019-07-12T05:30:49Z
date_updated: 2022-01-06T06:51:12Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2016/WaHa16.pdf
oa: '1'
publication: 38th German Conference on Pattern Recognition (GCPR 2016)
related_material:
  link:
  - description: Presentation
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2016/WaHa16_Talk.pdf
status: public
title: Unsupervised Word Discovery from Speech using Bayesian Hierarchical Models
type: conference
user_id: '44006'
year: '2016'
...
---
_id: '11975'
author:
- first_name: Johannes
  full_name: Blobel, Johannes
  last_name: Blobel
- first_name: Christoph
  full_name: Sommer, Christoph
  id: '49154'
  last_name: Sommer
  orcid: 0000-0002-4336-7350
- first_name: Falko
  full_name: Dressler, Falko
  last_name: Dressler
citation:
  ama: 'Blobel J, Sommer C, Dressler F. Protocol options for low power sensor network
    MAC using wake-up receivers with duty cycling. In: <i>2016 IEEE International
    Conference on Communications (ICC)</i>. ; 2016. doi:<a href="https://doi.org/10.1109/icc.2016.7511318">10.1109/icc.2016.7511318</a>'
  apa: Blobel, J., Sommer, C., &#38; Dressler, F. (2016). Protocol options for low
    power sensor network MAC using wake-up receivers with duty cycling. In <i>2016
    IEEE International Conference on Communications (ICC)</i>. <a href="https://doi.org/10.1109/icc.2016.7511318">https://doi.org/10.1109/icc.2016.7511318</a>
  bibtex: '@inproceedings{Blobel_Sommer_Dressler_2016, title={Protocol options for
    low power sensor network MAC using wake-up receivers with duty cycling}, DOI={<a
    href="https://doi.org/10.1109/icc.2016.7511318">10.1109/icc.2016.7511318</a>},
    booktitle={2016 IEEE International Conference on Communications (ICC)}, author={Blobel,
    Johannes and Sommer, Christoph and Dressler, Falko}, year={2016} }'
  chicago: Blobel, Johannes, Christoph Sommer, and Falko Dressler. “Protocol Options
    for Low Power Sensor Network MAC Using Wake-up Receivers with Duty Cycling.” In
    <i>2016 IEEE International Conference on Communications (ICC)</i>, 2016. <a href="https://doi.org/10.1109/icc.2016.7511318">https://doi.org/10.1109/icc.2016.7511318</a>.
  ieee: J. Blobel, C. Sommer, and F. Dressler, “Protocol options for low power sensor
    network MAC using wake-up receivers with duty cycling,” in <i>2016 IEEE International
    Conference on Communications (ICC)</i>, 2016.
  mla: Blobel, Johannes, et al. “Protocol Options for Low Power Sensor Network MAC
    Using Wake-up Receivers with Duty Cycling.” <i>2016 IEEE International Conference
    on Communications (ICC)</i>, 2016, doi:<a href="https://doi.org/10.1109/icc.2016.7511318">10.1109/icc.2016.7511318</a>.
  short: 'J. Blobel, C. Sommer, F. Dressler, in: 2016 IEEE International Conference
    on Communications (ICC), 2016.'
date_created: 2019-07-18T09:51:21Z
date_updated: 2022-01-06T06:51:14Z
department:
- _id: '589'
doi: 10.1109/icc.2016.7511318
language:
- iso: eng
publication: 2016 IEEE International Conference on Communications (ICC)
publication_identifier:
  isbn:
  - '9781479966646'
publication_status: published
status: public
title: Protocol options for low power sensor network MAC using wake-up receivers with
  duty cycling
type: conference
user_id: '49154'
year: '2016'
...
---
_id: '11988'
author:
- first_name: Claudia
  full_name: Campolo, Claudia
  last_name: Campolo
- first_name: Christoph
  full_name: Sommer, Christoph
  id: '49154'
  last_name: Sommer
  orcid: 0000-0002-4336-7350
- first_name: Falko
  full_name: Dressler, Falko
  last_name: Dressler
- first_name: Antonella
  full_name: Molinaro, Antonella
  last_name: Molinaro
citation:
  ama: 'Campolo C, Sommer C, Dressler F, Molinaro A. On the impact of adjacent channel
    interference in multi-channel VANETs. In: <i>2016 IEEE International Conference
    on Communications (ICC)</i>. ; 2016. doi:<a href="https://doi.org/10.1109/icc.2016.7511085">10.1109/icc.2016.7511085</a>'
  apa: Campolo, C., Sommer, C., Dressler, F., &#38; Molinaro, A. (2016). On the impact
    of adjacent channel interference in multi-channel VANETs. In <i>2016 IEEE International
    Conference on Communications (ICC)</i>. <a href="https://doi.org/10.1109/icc.2016.7511085">https://doi.org/10.1109/icc.2016.7511085</a>
  bibtex: '@inproceedings{Campolo_Sommer_Dressler_Molinaro_2016, title={On the impact
    of adjacent channel interference in multi-channel VANETs}, DOI={<a href="https://doi.org/10.1109/icc.2016.7511085">10.1109/icc.2016.7511085</a>},
    booktitle={2016 IEEE International Conference on Communications (ICC)}, author={Campolo,
    Claudia and Sommer, Christoph and Dressler, Falko and Molinaro, Antonella}, year={2016}
    }'
  chicago: Campolo, Claudia, Christoph Sommer, Falko Dressler, and Antonella Molinaro.
    “On the Impact of Adjacent Channel Interference in Multi-Channel VANETs.” In <i>2016
    IEEE International Conference on Communications (ICC)</i>, 2016. <a href="https://doi.org/10.1109/icc.2016.7511085">https://doi.org/10.1109/icc.2016.7511085</a>.
  ieee: C. Campolo, C. Sommer, F. Dressler, and A. Molinaro, “On the impact of adjacent
    channel interference in multi-channel VANETs,” in <i>2016 IEEE International Conference
    on Communications (ICC)</i>, 2016.
  mla: Campolo, Claudia, et al. “On the Impact of Adjacent Channel Interference in
    Multi-Channel VANETs.” <i>2016 IEEE International Conference on Communications
    (ICC)</i>, 2016, doi:<a href="https://doi.org/10.1109/icc.2016.7511085">10.1109/icc.2016.7511085</a>.
  short: 'C. Campolo, C. Sommer, F. Dressler, A. Molinaro, in: 2016 IEEE International
    Conference on Communications (ICC), 2016.'
date_created: 2019-07-18T09:51:57Z
date_updated: 2022-01-06T06:51:15Z
department:
- _id: '589'
doi: 10.1109/icc.2016.7511085
language:
- iso: eng
publication: 2016 IEEE International Conference on Communications (ICC)
publication_identifier:
  isbn:
  - '9781479966646'
publication_status: published
status: public
title: On the impact of adjacent channel interference in multi-channel VANETs
type: conference
user_id: '49154'
year: '2016'
...
---
_id: '12011'
author:
- first_name: Florian
  full_name: Hagenauer, Florian
  last_name: Hagenauer
- first_name: Christoph
  full_name: Sommer, Christoph
  id: '49154'
  last_name: Sommer
  orcid: 0000-0002-4336-7350
- first_name: Simon
  full_name: Merschjohann, Simon
  last_name: Merschjohann
- first_name: Takamasa
  full_name: Higuchi, Takamasa
  last_name: Higuchi
- first_name: Falko
  full_name: Dressler, Falko
  last_name: Dressler
- first_name: Onur
  full_name: Altintas, Onur
  last_name: Altintas
citation:
  ama: 'Hagenauer F, Sommer C, Merschjohann S, Higuchi T, Dressler F, Altintas O.
    Cars as the base for service discovery and provision in highly dynamic networks.
    In: <i>2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)</i>.
    ; 2016. doi:<a href="https://doi.org/10.1109/infcomw.2016.7562101">10.1109/infcomw.2016.7562101</a>'
  apa: Hagenauer, F., Sommer, C., Merschjohann, S., Higuchi, T., Dressler, F., &#38;
    Altintas, O. (2016). Cars as the base for service discovery and provision in highly
    dynamic networks. In <i>2016 IEEE Conference on Computer Communications Workshops
    (INFOCOM WKSHPS)</i>. <a href="https://doi.org/10.1109/infcomw.2016.7562101">https://doi.org/10.1109/infcomw.2016.7562101</a>
  bibtex: '@inproceedings{Hagenauer_Sommer_Merschjohann_Higuchi_Dressler_Altintas_2016,
    title={Cars as the base for service discovery and provision in highly dynamic
    networks}, DOI={<a href="https://doi.org/10.1109/infcomw.2016.7562101">10.1109/infcomw.2016.7562101</a>},
    booktitle={2016 IEEE Conference on Computer Communications Workshops (INFOCOM
    WKSHPS)}, author={Hagenauer, Florian and Sommer, Christoph and Merschjohann, Simon
    and Higuchi, Takamasa and Dressler, Falko and Altintas, Onur}, year={2016} }'
  chicago: Hagenauer, Florian, Christoph Sommer, Simon Merschjohann, Takamasa Higuchi,
    Falko Dressler, and Onur Altintas. “Cars as the Base for Service Discovery and
    Provision in Highly Dynamic Networks.” In <i>2016 IEEE Conference on Computer
    Communications Workshops (INFOCOM WKSHPS)</i>, 2016. <a href="https://doi.org/10.1109/infcomw.2016.7562101">https://doi.org/10.1109/infcomw.2016.7562101</a>.
  ieee: F. Hagenauer, C. Sommer, S. Merschjohann, T. Higuchi, F. Dressler, and O.
    Altintas, “Cars as the base for service discovery and provision in highly dynamic
    networks,” in <i>2016 IEEE Conference on Computer Communications Workshops (INFOCOM
    WKSHPS)</i>, 2016.
  mla: Hagenauer, Florian, et al. “Cars as the Base for Service Discovery and Provision
    in Highly Dynamic Networks.” <i>2016 IEEE Conference on Computer Communications
    Workshops (INFOCOM WKSHPS)</i>, 2016, doi:<a href="https://doi.org/10.1109/infcomw.2016.7562101">10.1109/infcomw.2016.7562101</a>.
  short: 'F. Hagenauer, C. Sommer, S. Merschjohann, T. Higuchi, F. Dressler, O. Altintas,
    in: 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS),
    2016.'
date_created: 2019-07-18T09:53:13Z
date_updated: 2022-01-06T06:51:15Z
department:
- _id: '589'
doi: 10.1109/infcomw.2016.7562101
language:
- iso: eng
publication: 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
publication_identifier:
  isbn:
  - '9781467399555'
publication_status: published
status: public
title: Cars as the base for service discovery and provision in highly dynamic networks
type: conference
user_id: '49154'
year: '2016'
...