---
_id: '11965'
abstract:
- lang: eng
  text: 'We present an unsupervised training approach for a neural network-based mask
    estimator in an acoustic beamforming application. The network is trained to maximize
    a likelihood criterion derived from a spatial mixture model of the observations.
    It is trained from scratch without requiring any parallel data consisting of degraded
    input and clean training targets. Thus, training can be carried out on real recordings
    of noisy speech rather than simulated ones. In contrast to previous work on unsupervised
    training of neural mask estimators, our approach avoids the need for a possibly
    pre-trained teacher model entirely. We demonstrate the effectiveness of our approach
    by speech recognition experiments on two different datasets: one mainly deteriorated
    by noise (CHiME 4) and one by reverberation (REVERB). The results show that the
    performance of the proposed system is on par with a supervised system using oracle
    target masks for training and with a system trained using a model-based teacher.'
author:
- first_name: Lukas
  full_name: Drude, Lukas
  id: '11213'
  last_name: Drude
- first_name: Jahn
  full_name: Heymann, Jahn
  id: '9168'
  last_name: Heymann
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Drude L, Heymann J, Haeb-Umbach R. Unsupervised training of neural mask-based
    beamforming. In: <i>INTERSPEECH 2019, Graz, Austria</i>. ; 2019.'
  apa: Drude, L., Heymann, J., &#38; Haeb-Umbach, R. (2019). Unsupervised training
    of neural mask-based beamforming. In <i>INTERSPEECH 2019, Graz, Austria</i>.
  bibtex: '@inproceedings{Drude_Heymann_Haeb-Umbach_2019, title={Unsupervised training
    of neural mask-based beamforming}, booktitle={INTERSPEECH 2019, Graz, Austria},
    author={Drude, Lukas and Heymann, Jahn and Haeb-Umbach, Reinhold}, year={2019}
    }'
  chicago: Drude, Lukas, Jahn Heymann, and Reinhold Haeb-Umbach. “Unsupervised Training
    of Neural Mask-Based Beamforming.” In <i>INTERSPEECH 2019, Graz, Austria</i>,
    2019.
  ieee: L. Drude, J. Heymann, and R. Haeb-Umbach, “Unsupervised training of neural
    mask-based beamforming,” in <i>INTERSPEECH 2019, Graz, Austria</i>, 2019.
  mla: Drude, Lukas, et al. “Unsupervised Training of Neural Mask-Based Beamforming.”
    <i>INTERSPEECH 2019, Graz, Austria</i>, 2019.
  short: 'L. Drude, J. Heymann, R. Haeb-Umbach, in: INTERSPEECH 2019, Graz, Austria,
    2019.'
date_created: 2019-07-18T09:11:39Z
date_updated: 2022-01-06T06:51:14Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: open_access
  content_type: application/pdf
  creator: huesera
  date_created: 2019-08-13T06:36:44Z
  date_updated: 2019-08-13T06:41:35Z
  file_id: '12914'
  file_name: INTERSPEECH_2019_Drude_Paper.pdf
  file_size: 223413
  relation: main_file
file_date_updated: 2019-08-13T06:41:35Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: INTERSPEECH 2019, Graz, Austria
status: public
title: Unsupervised training of neural mask-based beamforming
type: conference
user_id: '59789'
year: '2019'
...
---
_id: '12874'
abstract:
- lang: eng
  text: We propose a training scheme to train neural network-based source separation
    algorithms from scratch when parallel clean data is unavailable. In particular,
    we demonstrate that an unsupervised spatial clustering algorithm is sufficient
    to guide the training of a deep clustering system. We argue that previous work
    on deep clustering requires strong supervision and elaborate on why this is a
    limitation. We demonstrate that (a) the single-channel deep clustering system
    trained according to the proposed scheme alone is able to achieve a similar performance
    as the multi-channel teacher in terms of word error rates and (b) initializing
    the spatial clustering approach with the deep clustering result yields a relative
    word error rate reduction of 26% over the unsupervised teacher.
author:
- first_name: Lukas
  full_name: Drude, Lukas
  id: '11213'
  last_name: Drude
- first_name: Daniel
  full_name: Hasenklever, Daniel
  last_name: Hasenklever
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Drude L, Hasenklever D, Haeb-Umbach R. Unsupervised Training of a Deep Clustering
    Model for Multichannel Blind Source Separation. In: <i>ICASSP 2019, Brighton,
    UK</i>. ; 2019.'
  apa: Drude, L., Hasenklever, D., &#38; Haeb-Umbach, R. (2019). Unsupervised Training
    of a Deep Clustering Model for Multichannel Blind Source Separation. In <i>ICASSP
    2019, Brighton, UK</i>.
  bibtex: '@inproceedings{Drude_Hasenklever_Haeb-Umbach_2019, title={Unsupervised
    Training of a Deep Clustering Model for Multichannel Blind Source Separation},
    booktitle={ICASSP 2019, Brighton, UK}, author={Drude, Lukas and Hasenklever, Daniel
    and Haeb-Umbach, Reinhold}, year={2019} }'
  chicago: Drude, Lukas, Daniel Hasenklever, and Reinhold Haeb-Umbach. “Unsupervised
    Training of a Deep Clustering Model for Multichannel Blind Source Separation.”
    In <i>ICASSP 2019, Brighton, UK</i>, 2019.
  ieee: L. Drude, D. Hasenklever, and R. Haeb-Umbach, “Unsupervised Training of a
    Deep Clustering Model for Multichannel Blind Source Separation,” in <i>ICASSP
    2019, Brighton, UK</i>, 2019.
  mla: Drude, Lukas, et al. “Unsupervised Training of a Deep Clustering Model for
    Multichannel Blind Source Separation.” <i>ICASSP 2019, Brighton, UK</i>, 2019.
  short: 'L. Drude, D. Hasenklever, R. Haeb-Umbach, in: ICASSP 2019, Brighton, UK,
    2019.'
date_created: 2019-07-23T07:37:54Z
date_updated: 2022-01-06T06:51:21Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: open_access
  content_type: application/pdf
  creator: huesera
  date_created: 2019-08-14T07:19:13Z
  date_updated: 2019-08-14T07:19:13Z
  file_id: '12925'
  file_name: ICASSP_2019_Drude_Paper.pdf
  file_size: 368225
  relation: main_file
file_date_updated: 2019-08-14T07:19:13Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: ICASSP 2019, Brighton, UK
status: public
title: Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source
  Separation
type: conference
user_id: '59789'
year: '2019'
...
---
_id: '12875'
abstract:
- lang: eng
  text: Signal dereverberation using the Weighted Prediction Error (WPE) method has
    been proven to be an effective means to raise the accuracy of far-field speech
    recognition. First proposed as an iterative algorithm, follow-up works have reformulated
    it as a recursive least squares algorithm and therefore enabled its use in online
    applications. For this algorithm, the estimation of the power spectral density
    (PSD) of the anechoic signal plays an important role and strongly influences its
    performance. Recently, we showed that using a neural network PSD estimator leads
    to improved performance for online automatic speech recognition. This, however,
    comes at a price. To train the network, we require parallel data, i.e., utterances
    simultaneously available in clean and reverberated form. Here we propose to overcome
    this limitation by training the network jointly with the acoustic model of the
    speech recognizer. To be specific, the gradients computed from the cross-entropy
    loss between the target senone sequence and the acoustic model network output
    is backpropagated through the complex-valued dereverberation filter estimation
    to the neural network for PSD estimation. Evaluation on two databases demonstrates
    improved performance for on-line processing scenarios while imposing fewer requirements
    on the available training data and thus widening the range of applications.
author:
- first_name: Jahn
  full_name: Heymann, Jahn
  id: '9168'
  last_name: Heymann
- first_name: Lukas
  full_name: Drude, Lukas
  id: '11213'
  last_name: Drude
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
- first_name: Keisuke
  full_name: Kinoshita, Keisuke
  last_name: Kinoshita
- first_name: Tomohiro
  full_name: Nakatani, Tomohiro
  last_name: Nakatani
citation:
  ama: 'Heymann J, Drude L, Haeb-Umbach R, Kinoshita K, Nakatani T. Joint Optimization
    of Neural Network-based WPE Dereverberation and Acoustic Model for Robust Online
    ASR. In: <i>ICASSP 2019, Brighton, UK</i>. ; 2019.'
  apa: Heymann, J., Drude, L., Haeb-Umbach, R., Kinoshita, K., &#38; Nakatani, T.
    (2019). Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic
    Model for Robust Online ASR. In <i>ICASSP 2019, Brighton, UK</i>.
  bibtex: '@inproceedings{Heymann_Drude_Haeb-Umbach_Kinoshita_Nakatani_2019, title={Joint
    Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for
    Robust Online ASR}, booktitle={ICASSP 2019, Brighton, UK}, author={Heymann, Jahn
    and Drude, Lukas and Haeb-Umbach, Reinhold and Kinoshita, Keisuke and Nakatani,
    Tomohiro}, year={2019} }'
  chicago: Heymann, Jahn, Lukas Drude, Reinhold Haeb-Umbach, Keisuke Kinoshita, and
    Tomohiro Nakatani. “Joint Optimization of Neural Network-Based WPE Dereverberation
    and Acoustic Model for Robust Online ASR.” In <i>ICASSP 2019, Brighton, UK</i>,
    2019.
  ieee: J. Heymann, L. Drude, R. Haeb-Umbach, K. Kinoshita, and T. Nakatani, “Joint
    Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for
    Robust Online ASR,” in <i>ICASSP 2019, Brighton, UK</i>, 2019.
  mla: Heymann, Jahn, et al. “Joint Optimization of Neural Network-Based WPE Dereverberation
    and Acoustic Model for Robust Online ASR.” <i>ICASSP 2019, Brighton, UK</i>, 2019.
  short: 'J. Heymann, L. Drude, R. Haeb-Umbach, K. Kinoshita, T. Nakatani, in: ICASSP
    2019, Brighton, UK, 2019.'
date_created: 2019-07-23T07:42:26Z
date_updated: 2022-01-06T06:51:22Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: open_access
  content_type: application/pdf
  creator: huesera
  date_created: 2019-12-17T07:28:06Z
  date_updated: 2019-12-17T07:28:06Z
  file_id: '15334'
  file_name: ICASSP_2019_Heymann_Paper.pdf
  file_size: 199109
  relation: main_file
file_date_updated: 2019-12-17T07:28:06Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: ICASSP 2019, Brighton, UK
status: public
title: Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic
  Model for Robust Online ASR
type: conference
user_id: '59789'
year: '2019'
...
---
_id: '12890'
abstract:
- lang: eng
  text: 'We formulate a generic framework for blind source separation (BSS), which
    allows integrating data-driven spectro-temporal methods, such as deep clustering
    and deep attractor networks, with physically motivated probabilistic spatial methods,
    such as complex angular central Gaussian mixture models. The integrated model
    exploits the complementary strengths of the two approaches to BSS: the strong
    modeling power of neural networks, which, however, is based on supervised learning,
    and the ease of unsupervised learning of the spatial mixture models whose few
    parameters can be estimated on as little as a single segment of a real mixture
    of speech. Experiments are carried out on both artificially mixed speech and true
    recordings of speech mixtures. The experiments verify that the integrated models
    consistently outperform the individual components. We further extend the models
    to cope with noisy, reverberant speech and introduce a cross-domain teacher–student
    training where the mixture model serves as the teacher to provide training targets
    for the student neural network.'
author:
- first_name: Lukas
  full_name: Drude, Lukas
  id: '11213'
  last_name: Drude
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: Drude L, Haeb-Umbach R. Integration of Neural Networks and Probabilistic Spatial
    Models for Acoustic Blind Source Separation. <i>IEEE Journal of Selected Topics
    in Signal Processing</i>. 2019. doi:<a href="https://doi.org/10.1109/JSTSP.2019.2912565">10.1109/JSTSP.2019.2912565</a>
  apa: Drude, L., &#38; Haeb-Umbach, R. (2019). Integration of Neural Networks and
    Probabilistic Spatial Models for Acoustic Blind Source Separation. <i>IEEE Journal
    of Selected Topics in Signal Processing</i>. <a href="https://doi.org/10.1109/JSTSP.2019.2912565">https://doi.org/10.1109/JSTSP.2019.2912565</a>
  bibtex: '@article{Drude_Haeb-Umbach_2019, title={Integration of Neural Networks
    and Probabilistic Spatial Models for Acoustic Blind Source Separation}, DOI={<a
    href="https://doi.org/10.1109/JSTSP.2019.2912565">10.1109/JSTSP.2019.2912565</a>},
    journal={IEEE Journal of Selected Topics in Signal Processing}, author={Drude,
    Lukas and Haeb-Umbach, Reinhold}, year={2019} }'
  chicago: Drude, Lukas, and Reinhold Haeb-Umbach. “Integration of Neural Networks
    and Probabilistic Spatial Models for Acoustic Blind Source Separation.” <i>IEEE
    Journal of Selected Topics in Signal Processing</i>, 2019. <a href="https://doi.org/10.1109/JSTSP.2019.2912565">https://doi.org/10.1109/JSTSP.2019.2912565</a>.
  ieee: L. Drude and R. Haeb-Umbach, “Integration of Neural Networks and Probabilistic
    Spatial Models for Acoustic Blind Source Separation,” <i>IEEE Journal of Selected
    Topics in Signal Processing</i>, 2019.
  mla: Drude, Lukas, and Reinhold Haeb-Umbach. “Integration of Neural Networks and
    Probabilistic Spatial Models for Acoustic Blind Source Separation.” <i>IEEE Journal
    of Selected Topics in Signal Processing</i>, 2019, doi:<a href="https://doi.org/10.1109/JSTSP.2019.2912565">10.1109/JSTSP.2019.2912565</a>.
  short: L. Drude, R. Haeb-Umbach, IEEE Journal of Selected Topics in Signal Processing
    (2019).
date_created: 2019-07-26T08:38:46Z
date_updated: 2022-01-06T06:51:23Z
ddc:
- '050'
department:
- _id: '54'
doi: 10.1109/JSTSP.2019.2912565
file:
- access_level: open_access
  content_type: application/pdf
  creator: huesera
  date_created: 2019-08-07T07:12:21Z
  date_updated: 2019-08-14T07:11:22Z
  file_id: '12903'
  file_name: IEEE Jounal_2019_Drude_Paper.pdf
  file_size: 967424
  relation: main_file
file_date_updated: 2019-08-14T07:11:22Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: IEEE Journal of Selected Topics in Signal Processing
publication_identifier:
  eissn:
  - 1941-0484
status: public
title: Integration of Neural Networks and Probabilistic Spatial Models for Acoustic
  Blind Source Separation
type: journal_article
user_id: '11213'
year: '2019'
...
---
_id: '15724'
author:
- first_name: Deepak
  full_name: Ojha, Deepak
  last_name: Ojha
- first_name: Naveen Kumar
  full_name: Kaliannan, Naveen Kumar
  last_name: Kaliannan
- first_name: Thomas D.
  full_name: Kühne, Thomas D.
  last_name: Kühne
citation:
  ama: Ojha D, Kaliannan NK, Kühne TD. Time-dependent vibrational sum-frequency generation
    spectroscopy of the air-water interface. <i>Communications Chemistry</i>. 2019;2(1):116.
    doi:<a href="https://doi.org/10.1038/s42004-019-0220-6">10.1038/s42004-019-0220-6</a>
  apa: Ojha, D., Kaliannan, N. K., &#38; Kühne, T. D. (2019). Time-dependent vibrational
    sum-frequency generation spectroscopy of the air-water interface. <i>Communications
    Chemistry</i>, <i>2</i>(1), 116. <a href="https://doi.org/10.1038/s42004-019-0220-6">https://doi.org/10.1038/s42004-019-0220-6</a>
  bibtex: '@article{Ojha_Kaliannan_Kühne_2019, title={Time-dependent vibrational sum-frequency
    generation spectroscopy of the air-water interface}, volume={2}, DOI={<a href="https://doi.org/10.1038/s42004-019-0220-6">10.1038/s42004-019-0220-6</a>},
    number={1}, journal={Communications Chemistry}, author={Ojha, Deepak and Kaliannan,
    Naveen Kumar and Kühne, Thomas D.}, year={2019}, pages={116} }'
  chicago: 'Ojha, Deepak, Naveen Kumar Kaliannan, and Thomas D. Kühne. “Time-Dependent
    Vibrational Sum-Frequency Generation Spectroscopy of the Air-Water Interface.”
    <i>Communications Chemistry</i> 2, no. 1 (2019): 116. <a href="https://doi.org/10.1038/s42004-019-0220-6">https://doi.org/10.1038/s42004-019-0220-6</a>.'
  ieee: D. Ojha, N. K. Kaliannan, and T. D. Kühne, “Time-dependent vibrational sum-frequency
    generation spectroscopy of the air-water interface,” <i>Communications Chemistry</i>,
    vol. 2, no. 1, p. 116, 2019.
  mla: Ojha, Deepak, et al. “Time-Dependent Vibrational Sum-Frequency Generation Spectroscopy
    of the Air-Water Interface.” <i>Communications Chemistry</i>, vol. 2, no. 1, 2019,
    p. 116, doi:<a href="https://doi.org/10.1038/s42004-019-0220-6">10.1038/s42004-019-0220-6</a>.
  short: D. Ojha, N.K. Kaliannan, T.D. Kühne, Communications Chemistry 2 (2019) 116.
date_created: 2020-01-30T13:06:44Z
date_updated: 2022-01-06T06:52:32Z
doi: 10.1038/s42004-019-0220-6
intvolume: '         2'
issue: '1'
language:
- iso: eng
page: '116'
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Communications Chemistry
publication_identifier:
  issn:
  - 2399-3669
publication_status: published
status: public
title: Time-dependent vibrational sum-frequency generation spectroscopy of the air-water
  interface
type: journal_article
user_id: '71692'
volume: 2
year: '2019'
...
---
_id: '15740'
author:
- first_name: Maxim
  full_name: Guc, Maxim
  last_name: Guc
- first_name: Tim
  full_name: Kodalle, Tim
  last_name: Kodalle
- first_name: Ramya
  full_name: Kormath Madam Raghupathy, Ramya
  id: '71692'
  last_name: Kormath Madam Raghupathy
  orcid: https://orcid.org/0000-0003-4667-9744
- first_name: Hossein
  full_name: Mirhosseini, Hossein
  last_name: Mirhosseini
- first_name: Thomas D.
  full_name: Kühne, Thomas D.
  last_name: Kühne
- first_name: Ignacio
  full_name: Becerril-Romero, Ignacio
  last_name: Becerril-Romero
- first_name: Alejandro
  full_name: Pérez-Rodríguez, Alejandro
  last_name: Pérez-Rodríguez
- first_name: Christian A.
  full_name: Kaufmann, Christian A.
  last_name: Kaufmann
- first_name: Victor
  full_name: Izquierdo-Roca, Victor
  last_name: Izquierdo-Roca
citation:
  ama: 'Guc M, Kodalle T, Kormath Madam Raghupathy R, et al. Vibrational Properties
    of RbInSe2: Raman Scattering Spectroscopy and First-Principle Calculations. <i>The
    Journal of Physical Chemistry C</i>. 2019;124:1285-1291. doi:<a href="https://doi.org/10.1021/acs.jpcc.9b08781">10.1021/acs.jpcc.9b08781</a>'
  apa: 'Guc, M., Kodalle, T., Kormath Madam Raghupathy, R., Mirhosseini, H., Kühne,
    T. D., Becerril-Romero, I., … Izquierdo-Roca, V. (2019). Vibrational Properties
    of RbInSe2: Raman Scattering Spectroscopy and First-Principle Calculations. <i>The
    Journal of Physical Chemistry C</i>, <i>124</i>, 1285–1291. <a href="https://doi.org/10.1021/acs.jpcc.9b08781">https://doi.org/10.1021/acs.jpcc.9b08781</a>'
  bibtex: '@article{Guc_Kodalle_Kormath Madam Raghupathy_Mirhosseini_Kühne_Becerril-Romero_Pérez-Rodríguez_Kaufmann_Izquierdo-Roca_2019,
    title={Vibrational Properties of RbInSe2: Raman Scattering Spectroscopy and First-Principle
    Calculations}, volume={124}, DOI={<a href="https://doi.org/10.1021/acs.jpcc.9b08781">10.1021/acs.jpcc.9b08781</a>},
    journal={The Journal of Physical Chemistry C}, author={Guc, Maxim and Kodalle,
    Tim and Kormath Madam Raghupathy, Ramya and Mirhosseini, Hossein and Kühne, Thomas
    D. and Becerril-Romero, Ignacio and Pérez-Rodríguez, Alejandro and Kaufmann, Christian
    A. and Izquierdo-Roca, Victor}, year={2019}, pages={1285–1291} }'
  chicago: 'Guc, Maxim, Tim Kodalle, Ramya Kormath Madam Raghupathy, Hossein Mirhosseini,
    Thomas D. Kühne, Ignacio Becerril-Romero, Alejandro Pérez-Rodríguez, Christian
    A. Kaufmann, and Victor Izquierdo-Roca. “Vibrational Properties of RbInSe2: Raman
    Scattering Spectroscopy and First-Principle Calculations.” <i>The Journal of Physical
    Chemistry C</i> 124 (2019): 1285–91. <a href="https://doi.org/10.1021/acs.jpcc.9b08781">https://doi.org/10.1021/acs.jpcc.9b08781</a>.'
  ieee: 'M. Guc <i>et al.</i>, “Vibrational Properties of RbInSe2: Raman Scattering
    Spectroscopy and First-Principle Calculations,” <i>The Journal of Physical Chemistry
    C</i>, vol. 124, pp. 1285–1291, 2019.'
  mla: 'Guc, Maxim, et al. “Vibrational Properties of RbInSe2: Raman Scattering Spectroscopy
    and First-Principle Calculations.” <i>The Journal of Physical Chemistry C</i>,
    vol. 124, 2019, pp. 1285–91, doi:<a href="https://doi.org/10.1021/acs.jpcc.9b08781">10.1021/acs.jpcc.9b08781</a>.'
  short: M. Guc, T. Kodalle, R. Kormath Madam Raghupathy, H. Mirhosseini, T.D. Kühne,
    I. Becerril-Romero, A. Pérez-Rodríguez, C.A. Kaufmann, V. Izquierdo-Roca, The
    Journal of Physical Chemistry C 124 (2019) 1285–1291.
date_created: 2020-01-30T13:23:09Z
date_updated: 2022-01-06T06:52:32Z
department:
- _id: '304'
doi: 10.1021/acs.jpcc.9b08781
intvolume: '       124'
language:
- iso: eng
page: 1285-1291
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: The Journal of Physical Chemistry C
publication_identifier:
  issn:
  - 1932-7447
  - 1932-7455
publication_status: published
status: public
title: 'Vibrational Properties of RbInSe2: Raman Scattering Spectroscopy and First-Principle
  Calculations'
type: journal_article
user_id: '71051'
volume: 124
year: '2019'
...
---
_id: '15812'
abstract:
- lang: eng
  text: Connectionist temporal classification (CTC) is a sequence-level loss that
    has been successfully applied to train recurrent neural network (RNN) models for
    automatic speech recognition. However, one major weakness of CTC is the conditional
    independence assumption that makes it difficult for the model to learn label dependencies.
    In this paper, we propose stimulated CTC, which uses stimulated learning to help
    CTC models learn label dependencies implicitly by using an auxiliary RNN to generate
    the appropriate stimuli. This stimuli comes in the form of an additional stimulation
    loss term which encourages the model to learn said label dependencies. The auxiliary
    network is only used during training and the inference model has the same structure
    as a standard CTC model. The proposed stimulated CTC model achieves about 35%
    relative character error rate improvements on a synthetic gesture keyboard recognition
    task and over 30% relative word error rate improvements on the Librispeech automatic
    speech recognition tasks over a baseline model trained with CTC only.
author:
- first_name: Jahn
  full_name: Heymann, Jahn
  last_name: Heymann
- first_name: Bo Li
  full_name: Khe Chai Sim, Bo Li
  last_name: Khe Chai Sim
citation:
  ama: 'Heymann J, Khe Chai Sim BL. Improving CTC Using Stimulated Learning for Sequence
    Modeling. In: <i>ICASSP 2019, Brighton, UK</i>. ; 2019.'
  apa: Heymann, J., &#38; Khe Chai Sim, B. L. (2019). Improving CTC Using Stimulated
    Learning for Sequence Modeling. In <i>ICASSP 2019, Brighton, UK</i>.
  bibtex: '@inproceedings{Heymann_Khe Chai Sim_2019, title={Improving CTC Using Stimulated
    Learning for Sequence Modeling}, booktitle={ICASSP 2019, Brighton, UK}, author={Heymann,
    Jahn and Khe Chai Sim, Bo Li}, year={2019} }'
  chicago: Heymann, Jahn, and Bo Li Khe Chai Sim. “Improving CTC Using Stimulated
    Learning for Sequence Modeling.” In <i>ICASSP 2019, Brighton, UK</i>, 2019.
  ieee: J. Heymann and B. L. Khe Chai Sim, “Improving CTC Using Stimulated Learning
    for Sequence Modeling,” in <i>ICASSP 2019, Brighton, UK</i>, 2019.
  mla: Heymann, Jahn, and Bo Li Khe Chai Sim. “Improving CTC Using Stimulated Learning
    for Sequence Modeling.” <i>ICASSP 2019, Brighton, UK</i>, 2019.
  short: 'J. Heymann, B.L. Khe Chai Sim, in: ICASSP 2019, Brighton, UK, 2019.'
date_created: 2020-02-06T07:22:47Z
date_updated: 2022-01-06T06:52:35Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: open_access
  content_type: application/pdf
  creator: huesera
  date_created: 2020-02-06T07:24:26Z
  date_updated: 2020-02-06T07:24:26Z
  file_id: '15813'
  file_name: ICASSP_2019_Heymann_1_Paper.pdf
  file_size: 239665
  relation: main_file
file_date_updated: 2020-02-06T07:24:26Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: ICASSP 2019, Brighton, UK
status: public
title: Improving CTC Using Stimulated Learning for Sequence Modeling
type: conference
user_id: '59789'
year: '2019'
...
---
_id: '15816'
abstract:
- lang: eng
  text: 'Despite the strong modeling power of neural network acoustic models, speech
    enhancement has been shown to deliver additional word error rate improvements
    if multi-channel data is available. However, there has been a longstanding debate
    whether enhancement should also be carried out on the ASR training data. In an
    extensive experimental evaluation on the acoustically very challenging CHiME-5
    dinner party data we show that: (i) cleaning up the training data can lead to
    substantial error rate reductions, and (ii) enhancement in training is advisable
    as long as enhancement in test is at least as strong as in training. This approach
    stands in contrast and delivers larger gains than the common strategy reported
    in the literature to augment the training database with additional artificially
    degraded speech. Together with an acoustic model topology consisting of initial
    CNN layers followed by factorized TDNN layers we achieve with 41.6% and 43.2%
    WER on the DEV and EVAL test sets, respectively, a new single-system state-of-the-art
    result on the CHiME-5 data. This is a 8% relative improvement compared to the
    best word error rate published so far for a speech recognizer without system combination.'
author:
- first_name: Catalin
  full_name: Zorila, Catalin
  last_name: Zorila
- first_name: Christoph
  full_name: Boeddeker, Christoph
  id: '40767'
  last_name: Boeddeker
- first_name: Rama
  full_name: Doddipatla, Rama
  last_name: Doddipatla
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Zorila C, Boeddeker C, Doddipatla R, Haeb-Umbach R. An Investigation Into
    the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party
    Transcription. In: <i>ASRU 2019, Sentosa, Singapore</i>. ; 2019.'
  apa: Zorila, C., Boeddeker, C., Doddipatla, R., &#38; Haeb-Umbach, R. (2019). An
    Investigation Into the Effectiveness of Enhancement in ASR Training and Test for
    Chime-5 Dinner Party Transcription. In <i>ASRU 2019, Sentosa, Singapore</i>.
  bibtex: '@inproceedings{Zorila_Boeddeker_Doddipatla_Haeb-Umbach_2019, title={An
    Investigation Into the Effectiveness of Enhancement in ASR Training and Test for
    Chime-5 Dinner Party Transcription}, booktitle={ASRU 2019, Sentosa, Singapore},
    author={Zorila, Catalin and Boeddeker, Christoph and Doddipatla, Rama and Haeb-Umbach,
    Reinhold}, year={2019} }'
  chicago: Zorila, Catalin, Christoph Boeddeker, Rama Doddipatla, and Reinhold Haeb-Umbach.
    “An Investigation Into the Effectiveness of Enhancement in ASR Training and Test
    for Chime-5 Dinner Party Transcription.” In <i>ASRU 2019, Sentosa, Singapore</i>,
    2019.
  ieee: C. Zorila, C. Boeddeker, R. Doddipatla, and R. Haeb-Umbach, “An Investigation
    Into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner
    Party Transcription,” in <i>ASRU 2019, Sentosa, Singapore</i>, 2019.
  mla: Zorila, Catalin, et al. “An Investigation Into the Effectiveness of Enhancement
    in ASR Training and Test for Chime-5 Dinner Party Transcription.” <i>ASRU 2019,
    Sentosa, Singapore</i>, 2019.
  short: 'C. Zorila, C. Boeddeker, R. Doddipatla, R. Haeb-Umbach, in: ASRU 2019, Sentosa,
    Singapore, 2019.'
date_created: 2020-02-06T07:35:08Z
date_updated: 2022-01-06T06:52:37Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: open_access
  content_type: application/pdf
  creator: huesera
  date_created: 2020-02-06T07:42:42Z
  date_updated: 2020-02-06T07:42:42Z
  file_id: '15817'
  file_name: ASRU_2019_Boeddeker_Paper.pdf
  file_size: 200256
  relation: main_file
- access_level: open_access
  content_type: application/pdf
  creator: huesera
  date_created: 2020-02-06T07:42:55Z
  date_updated: 2020-02-06T07:42:55Z
  file_id: '15818'
  file_name: ASRU_2019_Boeddeker_Poster.pdf
  file_size: 123963
  relation: main_file
file_date_updated: 2020-02-06T07:42:55Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: ASRU 2019, Sentosa, Singapore
status: public
title: An Investigation Into the Effectiveness of Enhancement in ASR Training and
  Test for Chime-5 Dinner Party Transcription
type: conference
user_id: '59789'
year: '2019'
...
---
_id: '15875'
author:
- first_name: Alan Adam
  full_name: Camberg, Alan Adam
  id: '60544'
  last_name: Camberg
- first_name: Thomas
  full_name: Tröster, Thomas
  id: '553'
  last_name: Tröster
- first_name: F.
  full_name: Bohner, F.
  last_name: Bohner
- first_name: J.
  full_name: Tölle, J.
  last_name: Tölle
citation:
  ama: 'Camberg AA, Tröster T, Bohner F, Tölle J. Predicting plasticity and fracture
    of severe pre-strained EN AW-5182 by Yld2000 yield locus and Hosford-Coulomb fracture
    model in sheet forming applications. <i>IOP Conference Series: Materials Science
    and Engineering</i>. 2019;651:012057. doi:<a href="https://doi.org/10.1088/1757-899X/651/1/012057">10.1088/1757-899X/651/1/012057</a>'
  apa: 'Camberg, A. A., Tröster, T., Bohner, F., &#38; Tölle, J. (2019). Predicting
    plasticity and fracture of severe pre-strained EN AW-5182 by Yld2000 yield locus
    and Hosford-Coulomb fracture model in sheet forming applications. <i>IOP Conference
    Series: Materials Science and Engineering</i>, <i>651</i>, 012057. <a href="https://doi.org/10.1088/1757-899X/651/1/012057">https://doi.org/10.1088/1757-899X/651/1/012057</a>'
  bibtex: '@article{Camberg_Tröster_Bohner_Tölle_2019, title={Predicting plasticity
    and fracture of severe pre-strained EN AW-5182 by Yld2000 yield locus and Hosford-Coulomb
    fracture model in sheet forming applications}, volume={651}, DOI={<a href="https://doi.org/10.1088/1757-899X/651/1/012057">10.1088/1757-899X/651/1/012057</a>},
    journal={IOP Conference Series: Materials Science and Engineering}, author={Camberg,
    Alan Adam and Tröster, Thomas and Bohner, F. and Tölle, J.}, year={2019}, pages={012057}
    }'
  chicago: 'Camberg, Alan Adam, Thomas Tröster, F. Bohner, and J. Tölle. “Predicting
    Plasticity and Fracture of Severe Pre-Strained EN AW-5182 by Yld2000 Yield Locus
    and Hosford-Coulomb Fracture Model in Sheet Forming Applications.” <i>IOP Conference
    Series: Materials Science and Engineering</i> 651 (2019): 012057. <a href="https://doi.org/10.1088/1757-899X/651/1/012057">https://doi.org/10.1088/1757-899X/651/1/012057</a>.'
  ieee: 'A. A. Camberg, T. Tröster, F. Bohner, and J. Tölle, “Predicting plasticity
    and fracture of severe pre-strained EN AW-5182 by Yld2000 yield locus and Hosford-Coulomb
    fracture model in sheet forming applications,” <i>IOP Conference Series: Materials
    Science and Engineering</i>, vol. 651, p. 012057, 2019.'
  mla: 'Camberg, Alan Adam, et al. “Predicting Plasticity and Fracture of Severe Pre-Strained
    EN AW-5182 by Yld2000 Yield Locus and Hosford-Coulomb Fracture Model in Sheet
    Forming Applications.” <i>IOP Conference Series: Materials Science and Engineering</i>,
    vol. 651, 2019, p. 012057, doi:<a href="https://doi.org/10.1088/1757-899X/651/1/012057">10.1088/1757-899X/651/1/012057</a>.'
  short: 'A.A. Camberg, T. Tröster, F. Bohner, J. Tölle, IOP Conference Series: Materials
    Science and Engineering 651 (2019) 012057.'
date_created: 2020-02-11T10:21:57Z
date_updated: 2022-01-06T06:52:39Z
department:
- _id: '9'
- _id: '321'
- _id: '149'
doi: 10.1088/1757-899X/651/1/012057
intvolume: '       651'
language:
- iso: eng
page: '012057'
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: 'IOP Conference Series: Materials Science and Engineering'
publication_identifier:
  issn:
  - 1757-899X
status: public
title: Predicting plasticity and fracture of severe pre-strained EN AW-5182 by Yld2000
  yield locus and Hosford-Coulomb fracture model in sheet forming applications
type: journal_article
user_id: '60544'
volume: 651
year: '2019'
...
---
_id: '15921'
abstract:
- lang: eng
  text: "Ranking plays a central role in a large number of applications driven by
    RDF knowledge graphs. Over the last years, many popular RDF knowledge graphs have
    grown so large that rankings for the facts they contain cannot be computed directly
    using the currently common 64-bit platforms. In this paper, we tackle two problems:\r\nComputing
    ranks on such large knowledge bases efficiently and incrementally. First, we present
    D-HARE, a distributed approach for computing ranks on very large knowledge graphs.
    D-HARE assumes the random surfer model and relies on data partitioning to compute
    matrix multiplications and transpositions on disk for matrices of arbitrary size.
    Moreover, the data partitioning underlying D-HARE allows the execution of most
    of its steps in parallel.\r\nAs very large knowledge graphs are often updated
    periodically, we tackle the incremental computation of ranks on large knowledge
    bases as a second problem. We address this problem by presenting\r\nI-HARE, an
    approximation technique for calculating the overall ranking scores of a knowledge
    without the need to recalculate the ranking from scratch at each new revision.
    We evaluate our approaches by calculating ranks on the 3 × 10^9 and 2.4 × 10^9
    triples from Wikidata resp. LinkedGeoData. Our evaluation demonstrates\r\nthat
    D-HARE is the first holistic approach for computing ranks on very large RDF knowledge
    graphs. In addition, our incremental approach achieves a root mean squared error
    of less than 10E−7 in the best case. Both D-HARE\r\n and I-HARE are open-source
    and are available at: https://github.com/dice-group/incrementalHARE.\r\n"
author:
- first_name: Abdelmoneim Amer
  full_name: Desouki, Abdelmoneim Amer
  last_name: Desouki
- first_name: Michael
  full_name: Röder, Michael
  last_name: Röder
- first_name: Axel-Cyrille
  full_name: Ngonga Ngomo, Axel-Cyrille
  last_name: Ngonga Ngomo
citation:
  ama: 'Desouki AA, Röder M, Ngonga Ngomo A-C. Ranking on Very Large Knowledge Graphs.
    In: <i>Proceedings of the 30th ACM Conference on Hypertext and Social Media  -
    HT ’19</i>. ACM; 2019:163-171. doi:<a href="https://doi.org/10.1145/3342220.3343660">10.1145/3342220.3343660</a>'
  apa: Desouki, A. A., Röder, M., &#38; Ngonga Ngomo, A.-C. (2019). Ranking on Very
    Large Knowledge Graphs. In <i>Proceedings of the 30th ACM Conference on Hypertext
    and Social Media  - HT ’19</i> (pp. 163–171). ACM. <a href="https://doi.org/10.1145/3342220.3343660">https://doi.org/10.1145/3342220.3343660</a>
  bibtex: '@inproceedings{Desouki_Röder_Ngonga Ngomo_2019, title={Ranking on Very
    Large Knowledge Graphs}, DOI={<a href="https://doi.org/10.1145/3342220.3343660">10.1145/3342220.3343660</a>},
    booktitle={Proceedings of the 30th ACM Conference on Hypertext and Social Media 
    - HT ’19}, publisher={ACM}, author={Desouki, Abdelmoneim Amer and Röder, Michael
    and Ngonga Ngomo, Axel-Cyrille}, year={2019}, pages={163–171} }'
  chicago: Desouki, Abdelmoneim Amer, Michael Röder, and Axel-Cyrille Ngonga Ngomo.
    “Ranking on Very Large Knowledge Graphs.” In <i>Proceedings of the 30th ACM Conference
    on Hypertext and Social Media  - HT ’19</i>, 163–71. ACM, 2019. <a href="https://doi.org/10.1145/3342220.3343660">https://doi.org/10.1145/3342220.3343660</a>.
  ieee: A. A. Desouki, M. Röder, and A.-C. Ngonga Ngomo, “Ranking on Very Large Knowledge
    Graphs,” in <i>Proceedings of the 30th ACM Conference on Hypertext and Social
    Media  - HT ’19</i>, 2019, pp. 163–171.
  mla: Desouki, Abdelmoneim Amer, et al. “Ranking on Very Large Knowledge Graphs.”
    <i>Proceedings of the 30th ACM Conference on Hypertext and Social Media  - HT
    ’19</i>, ACM, 2019, pp. 163–71, doi:<a href="https://doi.org/10.1145/3342220.3343660">10.1145/3342220.3343660</a>.
  short: 'A.A. Desouki, M. Röder, A.-C. Ngonga Ngomo, in: Proceedings of the 30th
    ACM Conference on Hypertext and Social Media  - HT ’19, ACM, 2019, pp. 163–171.'
conference:
  end_date: 2019-09-20
  name: 30th ACM Conference on Hypertext and Social Media
  start_date: 2019-09-17
date_created: 2020-02-18T16:39:35Z
date_updated: 2022-01-06T06:52:41Z
department:
- _id: '574'
doi: 10.1145/3342220.3343660
keyword:
- Knowledge Graphs
- Ranking
- RDF
language:
- iso: eng
page: 163-171
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Proceedings of the 30th ACM Conference on Hypertext and Social Media  -
  HT '19
publication_identifier:
  isbn:
  - '9781450368858'
publication_status: published
publisher: ACM
status: public
title: Ranking on Very Large Knowledge Graphs
type: conference
user_id: '69382'
year: '2019'
...
---
_id: '14822'
abstract:
- lang: eng
  text: Multi-talker speech and moving speakers still pose a significant challenge
    to automatic speech recognition systems. Assuming an enrollment utterance of the
    target speakeris available, the so-called SpeakerBeam concept has been recently
    proposed to extract the target speaker from a speech mixture. If multi-channel
    input is available, spatial properties of the speaker can be exploited to support
    the source extraction. In this contribution we investigate different approaches
    to exploit such spatial information. In particular, we are interested in the question,
    how useful this information is if the target speaker changes his/her position.
    To this end, we present a SpeakerBeam-based source extraction network that is
    adapted to work on moving speakers by recursively updating the beamformer coefficients.
    Experimental results are presented on two data sets, one with articially created
    room impulse responses, and one with real room impulse responses and noise recorded
    in a conference room. Interestingly, spatial features turn out to be advantageous
    even if the speaker position changes.
author:
- first_name: Jens
  full_name: Heitkaemper, Jens
  id: '27643'
  last_name: Heitkaemper
- first_name: Thomas
  full_name: Feher, Thomas
  last_name: Feher
- first_name: Michael
  full_name: Freitag, Michael
  last_name: Freitag
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Heitkaemper J, Feher T, Freitag M, Haeb-Umbach R. A Study on Online Source
    Extraction in the Presence of Changing Speaker Positions. In: <i>International
    Conference on Statistical Language and Speech Processing 2019, Ljubljana, Slovenia</i>.
    ; 2019.'
  apa: Heitkaemper, J., Feher, T., Freitag, M., &#38; Haeb-Umbach, R. (2019). A Study
    on Online Source Extraction in the Presence of Changing Speaker Positions. In
    <i>International Conference on Statistical Language and Speech Processing 2019,
    Ljubljana, Slovenia</i>.
  bibtex: '@inproceedings{Heitkaemper_Feher_Freitag_Haeb-Umbach_2019, title={A Study
    on Online Source Extraction in the Presence of Changing Speaker Positions}, booktitle={International
    Conference on Statistical Language and Speech Processing 2019, Ljubljana, Slovenia},
    author={Heitkaemper, Jens and Feher, Thomas and Freitag, Michael and Haeb-Umbach,
    Reinhold}, year={2019} }'
  chicago: Heitkaemper, Jens, Thomas Feher, Michael Freitag, and Reinhold Haeb-Umbach.
    “A Study on Online Source Extraction in the Presence of Changing Speaker Positions.”
    In <i>International Conference on Statistical Language and Speech Processing 2019,
    Ljubljana, Slovenia</i>, 2019.
  ieee: J. Heitkaemper, T. Feher, M. Freitag, and R. Haeb-Umbach, “A Study on Online
    Source Extraction in the Presence of Changing Speaker Positions,” in <i>International
    Conference on Statistical Language and Speech Processing 2019, Ljubljana, Slovenia</i>,
    2019.
  mla: Heitkaemper, Jens, et al. “A Study on Online Source Extraction in the Presence
    of Changing Speaker Positions.” <i>International Conference on Statistical Language
    and Speech Processing 2019, Ljubljana, Slovenia</i>, 2019.
  short: 'J. Heitkaemper, T. Feher, M. Freitag, R. Haeb-Umbach, in: International
    Conference on Statistical Language and Speech Processing 2019, Ljubljana, Slovenia,
    2019.'
date_created: 2019-11-06T09:43:03Z
date_updated: 2022-01-06T06:52:06Z
ddc:
- '006'
department:
- _id: '54'
file:
- access_level: open_access
  content_type: application/pdf
  creator: huesera
  date_created: 2019-11-06T10:02:26Z
  date_updated: 2019-11-08T07:47:12Z
  file_id: '14823'
  file_name: SLSP_2019_Heitkaemper_Paper.pdf
  file_size: 578595
  relation: main_file
file_date_updated: 2019-11-08T07:47:12Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: International Conference on Statistical Language and Speech Processing
  2019, Ljubljana, Slovenia
status: public
title: A Study on Online Source Extraction in the Presence of Changing Speaker Positions
type: conference
user_id: '59789'
year: '2019'
...
---
_id: '14824'
abstract:
- lang: eng
  text: This paper deals with multi-channel speech recognition in scenarios with multiple
    speakers. Recently, the spectral characteristics of a target speaker, extracted
    from an adaptation utterance, have been used to guide a neural network mask estimator
    to focus on that speaker. In this work we present two variants of speakeraware
    neural networks, which exploit both spectral and spatial information to allow
    better discrimination between target and interfering speakers. Thus, we introduce
    either a spatial preprocessing prior to the mask estimation or a spatial plus
    spectral speaker characterization block whose output is directly fed into the
    neural mask estimator. The target speaker’s spectral and spatial signature is
    extracted from an adaptation utterance recorded at the beginning of a session.
    We further adapt the architecture for low-latency processing by means of block-online
    beamforming that recursively updates the signal statistics. Experimental results
    show that the additional spatial information clearly improves source extraction,
    in particular in the same-gender case, and that our proposal achieves state-of-the-art
    performance in terms of distortion reduction and recognition accuracy.
author:
- first_name: Juan M.
  full_name: Martin-Donas, Juan M.
  last_name: Martin-Donas
- 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
- first_name: Angel M.
  full_name: Gomez, Angel M.
  last_name: Gomez
- first_name: Antonio M.
  full_name: Peinado, Antonio M.
  last_name: Peinado
citation:
  ama: 'Martin-Donas JM, Heitkaemper J, Haeb-Umbach R, Gomez AM, Peinado AM. Multi-Channel
    Block-Online Source Extraction based on Utterance Adaptation. In: <i>INTERSPEECH
    2019, Graz, Austria</i>. ; 2019.'
  apa: Martin-Donas, J. M., Heitkaemper, J., Haeb-Umbach, R., Gomez, A. M., &#38;
    Peinado, A. M. (2019). Multi-Channel Block-Online Source Extraction based on Utterance
    Adaptation. In <i>INTERSPEECH 2019, Graz, Austria</i>.
  bibtex: '@inproceedings{Martin-Donas_Heitkaemper_Haeb-Umbach_Gomez_Peinado_2019,
    title={Multi-Channel Block-Online Source Extraction based on Utterance Adaptation},
    booktitle={INTERSPEECH 2019, Graz, Austria}, author={Martin-Donas, Juan M. and
    Heitkaemper, Jens and Haeb-Umbach, Reinhold and Gomez, Angel M. and Peinado, Antonio
    M.}, year={2019} }'
  chicago: Martin-Donas, Juan M., Jens Heitkaemper, Reinhold Haeb-Umbach, Angel M.
    Gomez, and Antonio M. Peinado. “Multi-Channel Block-Online Source Extraction Based
    on Utterance Adaptation.” In <i>INTERSPEECH 2019, Graz, Austria</i>, 2019.
  ieee: J. M. Martin-Donas, J. Heitkaemper, R. Haeb-Umbach, A. M. Gomez, and A. M.
    Peinado, “Multi-Channel Block-Online Source Extraction based on Utterance Adaptation,”
    in <i>INTERSPEECH 2019, Graz, Austria</i>, 2019.
  mla: Martin-Donas, Juan M., et al. “Multi-Channel Block-Online Source Extraction
    Based on Utterance Adaptation.” <i>INTERSPEECH 2019, Graz, Austria</i>, 2019.
  short: 'J.M. Martin-Donas, J. Heitkaemper, R. Haeb-Umbach, A.M. Gomez, A.M. Peinado,
    in: INTERSPEECH 2019, Graz, Austria, 2019.'
date_created: 2019-11-06T10:04:49Z
date_updated: 2022-01-06T06:52:07Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: open_access
  content_type: application/pdf
  creator: huesera
  date_created: 2019-11-06T10:07:15Z
  date_updated: 2019-11-08T07:46:37Z
  file_id: '14825'
  file_name: INTERSPEECH_2019_Heitkaemper_Paper.pdf
  file_size: 225689
  relation: main_file
file_date_updated: 2019-11-08T07:46:37Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: INTERSPEECH 2019, Graz, Austria
status: public
title: Multi-Channel Block-Online Source Extraction based on Utterance Adaptation
type: conference
user_id: '59789'
year: '2019'
...
---
_id: '14826'
abstract:
- lang: eng
  text: In this paper, we present Hitachi and Paderborn University’s joint effort
    for automatic speech recognition (ASR) in a dinner party scenario. The main challenges
    of ASR systems for dinner party recordings obtained by multiple microphone arrays
    are (1) heavy speech overlaps, (2) severe noise and reverberation, (3) very natural
    onversational content, and possibly (4) insufficient training data. As an example
    of a dinner party scenario, we have chosen the data presented during the CHiME-5
    speech recognition challenge, where the baseline ASR had a 73.3% word error rate
    (WER), and even the best performing system at the CHiME-5 challenge had a 46.1%
    WER. We extensively investigated a combination of the guided source separation-based
    speech enhancement technique and an already proposed strong ASR backend and found
    that a tight combination of these techniques provided substantial accuracy improvements.
    Our final system achieved WERs of 39.94% and 41.64% for the development and evaluation
    data, respectively, both of which are the best published results for the dataset.
    We also investigated with additional training data on the official small data
    in the CHiME-5 corpus to assess the intrinsic difficulty of this ASR task.
author:
- first_name: Naoyuki
  full_name: Kanda, Naoyuki
  last_name: Kanda
- 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: Yusuke
  full_name: Fujita, Yusuke
  last_name: Fujita
- first_name: Shota
  full_name: Horiguchi, Shota
  last_name: Horiguchi
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Kanda N, Boeddeker C, Heitkaemper J, Fujita Y, Horiguchi S, Haeb-Umbach R.
    Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University
    Joint Investigation for Dinner Party ASR. In: <i>INTERSPEECH 2019, Graz, Austria</i>.
    ; 2019.'
  apa: 'Kanda, N., Boeddeker, C., Heitkaemper, J., Fujita, Y., Horiguchi, S., &#38;
    Haeb-Umbach, R. (2019). Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn
    University Joint Investigation for Dinner Party ASR. In <i>INTERSPEECH 2019, Graz,
    Austria</i>.'
  bibtex: '@inproceedings{Kanda_Boeddeker_Heitkaemper_Fujita_Horiguchi_Haeb-Umbach_2019,
    title={Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn
    University Joint Investigation for Dinner Party ASR}, booktitle={INTERSPEECH 2019,
    Graz, Austria}, author={Kanda, Naoyuki and Boeddeker, Christoph and Heitkaemper,
    Jens and Fujita, Yusuke and Horiguchi, Shota and Haeb-Umbach, Reinhold}, year={2019}
    }'
  chicago: 'Kanda, Naoyuki, Christoph Boeddeker, Jens Heitkaemper, Yusuke Fujita,
    Shota Horiguchi, and Reinhold Haeb-Umbach. “Guided Source Separation Meets a Strong
    ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party
    ASR.” In <i>INTERSPEECH 2019, Graz, Austria</i>, 2019.'
  ieee: 'N. Kanda, C. Boeddeker, J. Heitkaemper, Y. Fujita, S. Horiguchi, and R. Haeb-Umbach,
    “Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University
    Joint Investigation for Dinner Party ASR,” in <i>INTERSPEECH 2019, Graz, Austria</i>,
    2019.'
  mla: 'Kanda, Naoyuki, et al. “Guided Source Separation Meets a Strong ASR Backend:
    Hitachi/Paderborn University Joint Investigation for Dinner Party ASR.” <i>INTERSPEECH
    2019, Graz, Austria</i>, 2019.'
  short: 'N. Kanda, C. Boeddeker, J. Heitkaemper, Y. Fujita, S. Horiguchi, R. Haeb-Umbach,
    in: INTERSPEECH 2019, Graz, Austria, 2019.'
date_created: 2019-11-06T10:08:49Z
date_updated: 2022-01-06T06:52:07Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: open_access
  content_type: application/pdf
  creator: huesera
  date_created: 2019-11-06T10:10:23Z
  date_updated: 2019-11-08T07:45:15Z
  file_id: '14827'
  file_name: INTERSPEECH_2019_Boeddeker_Paper.pdf
  file_size: 216202
  relation: main_file
file_date_updated: 2019-11-08T07:45:15Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: INTERSPEECH 2019, Graz, Austria
status: public
title: 'Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University
  Joint Investigation for Dinner Party ASR'
type: conference
user_id: '59789'
year: '2019'
...
---
_id: '15011'
author:
- first_name: Alexander
  full_name: Tornede, Alexander
  id: '38209'
  last_name: Tornede
- first_name: Marcel Dominik
  full_name: Wever, Marcel Dominik
  id: '33176'
  last_name: Wever
  orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
citation:
  ama: 'Tornede A, Wever MD, Hüllermeier E. Algorithm Selection as Recommendation:
    From Collaborative Filtering to Dyad Ranking. In: Hoffmann F, Hüllermeier E, Mikut
    R, eds. <i>Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28.
    - 29. November 2019</i>. KIT Scientific Publishing, Karlsruhe; 2019:135-146.'
  apa: 'Tornede, A., Wever, M. D., &#38; Hüllermeier, E. (2019). Algorithm Selection
    as Recommendation: From Collaborative Filtering to Dyad Ranking. In F. Hoffmann,
    E. Hüllermeier, &#38; R. Mikut (Eds.), <i>Proceedings - 29. Workshop Computational
    Intelligence, Dortmund, 28. - 29. November 2019</i> (pp. 135–146). Dortmund: KIT
    Scientific Publishing, Karlsruhe.'
  bibtex: '@inproceedings{Tornede_Wever_Hüllermeier_2019, title={Algorithm Selection
    as Recommendation: From Collaborative Filtering to Dyad Ranking}, booktitle={Proceedings
    - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019},
    publisher={KIT Scientific Publishing, Karlsruhe}, author={Tornede, Alexander and
    Wever, Marcel Dominik and Hüllermeier, Eyke}, editor={Hoffmann, Frank and Hüllermeier,
    Eyke and Mikut, RalfEditors}, year={2019}, pages={135–146} }'
  chicago: 'Tornede, Alexander, Marcel Dominik Wever, and Eyke Hüllermeier. “Algorithm
    Selection as Recommendation: From Collaborative Filtering to Dyad Ranking.” In
    <i>Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29.
    November 2019</i>, edited by Frank Hoffmann, Eyke Hüllermeier, and Ralf Mikut,
    135–46. KIT Scientific Publishing, Karlsruhe, 2019.'
  ieee: 'A. Tornede, M. D. Wever, and E. Hüllermeier, “Algorithm Selection as Recommendation:
    From Collaborative Filtering to Dyad Ranking,” in <i>Proceedings - 29. Workshop
    Computational Intelligence, Dortmund, 28. - 29. November 2019</i>, Dortmund, 2019,
    pp. 135–146.'
  mla: 'Tornede, Alexander, et al. “Algorithm Selection as Recommendation: From Collaborative
    Filtering to Dyad Ranking.” <i>Proceedings - 29. Workshop Computational Intelligence,
    Dortmund, 28. - 29. November 2019</i>, edited by Frank Hoffmann et al., KIT Scientific
    Publishing, Karlsruhe, 2019, pp. 135–46.'
  short: 'A. Tornede, M.D. Wever, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier,
    R. Mikut (Eds.), Proceedings - 29. Workshop Computational Intelligence, Dortmund,
    28. - 29. November 2019, KIT Scientific Publishing, Karlsruhe, 2019, pp. 135–146.'
conference:
  end_date: 2019-11-29
  location: Dortmund
  name: 29. Workshop Computational Intelligence
  start_date: 2019-11-28
date_created: 2019-11-15T13:29:25Z
date_updated: 2022-01-06T06:52:14Z
ddc:
- '006'
department:
- _id: '355'
editor:
- first_name: Frank
  full_name: Hoffmann, Frank
  last_name: Hoffmann
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  last_name: Hüllermeier
- first_name: Ralf
  full_name: Mikut, Ralf
  last_name: Mikut
file:
- access_level: open_access
  content_type: application/pdf
  creator: ahetzer
  date_created: 2020-05-25T08:01:31Z
  date_updated: 2020-05-25T08:01:31Z
  file_id: '17060'
  file_name: ci_workshop_tornede.pdf
  file_size: 468825
  relation: main_file
file_date_updated: 2020-05-25T08:01:31Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
page: 135-146
project:
- _id: '1'
  name: SFB 901
- _id: '3'
  name: SFB 901 - Project Area B
- _id: '10'
  name: SFB 901 - Subproject B2
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28.
  - 29. November 2019
publication_identifier:
  isbn:
  - 978-3-7315-0979-0
publication_status: published
publisher: KIT Scientific Publishing, Karlsruhe
status: public
title: 'Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad
  Ranking'
type: conference
user_id: '38209'
year: '2019'
...
---
_id: '15950'
author:
- first_name: Emine Fulya
  full_name: Akbulut Irmak, Emine Fulya
  id: '72008'
  last_name: Akbulut Irmak
  orcid: 0000-0002-1338-810X
- first_name: Thomas
  full_name: Tröster, Thomas
  id: '553'
  last_name: Tröster
citation:
  ama: Akbulut Irmak EF, Tröster T. Fracture prediction of additively manufactured
    AlSi10Mg materials. <i>Procedia Structural Integrity</i>. 2019:190-197. doi:<a
    href="https://doi.org/10.1016/j.prostr.2019.12.101">10.1016/j.prostr.2019.12.101</a>
  apa: Akbulut Irmak, E. F., &#38; Tröster, T. (2019). Fracture prediction of additively
    manufactured AlSi10Mg materials. <i>Procedia Structural Integrity</i>, 190–197.
    <a href="https://doi.org/10.1016/j.prostr.2019.12.101">https://doi.org/10.1016/j.prostr.2019.12.101</a>
  bibtex: '@article{Akbulut Irmak_Tröster_2019, title={Fracture prediction of additively
    manufactured AlSi10Mg materials}, DOI={<a href="https://doi.org/10.1016/j.prostr.2019.12.101">10.1016/j.prostr.2019.12.101</a>},
    journal={Procedia Structural Integrity}, author={Akbulut Irmak, Emine Fulya and
    Tröster, Thomas}, year={2019}, pages={190–197} }'
  chicago: Akbulut Irmak, Emine Fulya, and Thomas Tröster. “Fracture Prediction of
    Additively Manufactured AlSi10Mg Materials.” <i>Procedia Structural Integrity</i>,
    2019, 190–97. <a href="https://doi.org/10.1016/j.prostr.2019.12.101">https://doi.org/10.1016/j.prostr.2019.12.101</a>.
  ieee: E. F. Akbulut Irmak and T. Tröster, “Fracture prediction of additively manufactured
    AlSi10Mg materials,” <i>Procedia Structural Integrity</i>, pp. 190–197, 2019.
  mla: Akbulut Irmak, Emine Fulya, and Thomas Tröster. “Fracture Prediction of Additively
    Manufactured AlSi10Mg Materials.” <i>Procedia Structural Integrity</i>, 2019,
    pp. 190–97, doi:<a href="https://doi.org/10.1016/j.prostr.2019.12.101">10.1016/j.prostr.2019.12.101</a>.
  short: E.F. Akbulut Irmak, T. Tröster, Procedia Structural Integrity (2019) 190–197.
date_created: 2020-02-20T15:18:55Z
date_updated: 2022-01-06T06:52:41Z
department:
- _id: '9'
- _id: '321'
- _id: '149'
doi: 10.1016/j.prostr.2019.12.101
language:
- iso: eng
page: 190-197
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Procedia Structural Integrity
publication_identifier:
  issn:
  - 2452-3216
publication_status: published
status: public
title: Fracture prediction of additively manufactured AlSi10Mg materials
type: journal_article
user_id: '72008'
year: '2019'
...
---
_id: '15976'
author:
- first_name: Emine Fulya
  full_name: Akbulut Irmak, Emine Fulya
  id: '72008'
  last_name: Akbulut Irmak
  orcid: 0000-0002-1338-810X
- first_name: Julius
  full_name: Hanses, Julius
  last_name: Hanses
- first_name: Swetlana
  full_name: Schweizer, Swetlana
  id: '8938'
  last_name: Schweizer
- first_name: Thomas
  full_name: Tröster, Thomas
  id: '553'
  last_name: Tröster
citation:
  ama: 'Akbulut Irmak EF, Hanses J, Schweizer S, Tröster T. Modeling the Energy Absorption
    Characteristics of Wood Crash Elements. In: ; 2019.'
  apa: Akbulut Irmak, E. F., Hanses, J., Schweizer, S., &#38; Tröster, T. (2019).
    <i>Modeling the Energy Absorption Characteristics of Wood Crash Elements</i>.
    12th European LS-DYNA Conference, Koblenz.
  bibtex: '@inproceedings{Akbulut Irmak_Hanses_Schweizer_Tröster_2019, title={Modeling
    the Energy Absorption Characteristics of Wood Crash Elements}, author={Akbulut
    Irmak, Emine Fulya and Hanses, Julius and Schweizer, Swetlana and Tröster, Thomas},
    year={2019} }'
  chicago: Akbulut Irmak, Emine Fulya, Julius Hanses, Swetlana Schweizer, and Thomas
    Tröster. “Modeling the Energy Absorption Characteristics of Wood Crash Elements,”
    2019.
  ieee: E. F. Akbulut Irmak, J. Hanses, S. Schweizer, and T. Tröster, “Modeling the
    Energy Absorption Characteristics of Wood Crash Elements,” presented at the 12th
    European LS-DYNA Conference, Koblenz, 2019.
  mla: Akbulut Irmak, Emine Fulya, et al. <i>Modeling the Energy Absorption Characteristics
    of Wood Crash Elements</i>. 2019.
  short: 'E.F. Akbulut Irmak, J. Hanses, S. Schweizer, T. Tröster, in: 2019.'
conference:
  end_date: 2019-05-16
  location: Koblenz
  name: 12th European LS-DYNA Conference
  start_date: 2019-05-14
date_created: 2020-02-21T15:31:51Z
date_updated: 2022-01-06T06:52:41Z
department:
- _id: '9'
- _id: '321'
- _id: '149'
language:
- iso: eng
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
status: public
title: Modeling the Energy Absorption Characteristics of Wood Crash Elements
type: conference
user_id: '8938'
year: '2019'
...
---
_id: '16076'
author:
- first_name: Tim
  full_name: Hetkämper, Tim
  id: '38123'
  last_name: Hetkämper
- first_name: Leander
  full_name: Claes, Leander
  id: '11829'
  last_name: Claes
  orcid: 0000-0002-4393-268X
- first_name: Bernd
  full_name: Henning, Bernd
  id: '213'
  last_name: Henning
citation:
  ama: 'Hetkämper T, Claes L, Henning B. Evolutionary algorithm for the design of
    passive electric matching networks for ultrasonic transducers. In: <i>2019 International
    Congress on Ultrasonics</i>. ; 2019. doi:<a href="https://doi.org/10.1121/2.0001110">10.1121/2.0001110</a>'
  apa: Hetkämper, T., Claes, L., &#38; Henning, B. (2019). Evolutionary algorithm
    for the design of passive electric matching networks for ultrasonic transducers.
    In <i>2019 International Congress on Ultrasonics</i>. Bruges. <a href="https://doi.org/10.1121/2.0001110">https://doi.org/10.1121/2.0001110</a>
  bibtex: '@inproceedings{Hetkämper_Claes_Henning_2019, title={Evolutionary algorithm
    for the design of passive electric matching networks for ultrasonic transducers},
    DOI={<a href="https://doi.org/10.1121/2.0001110">10.1121/2.0001110</a>}, booktitle={2019
    International Congress on Ultrasonics}, author={Hetkämper, Tim and Claes, Leander
    and Henning, Bernd}, year={2019} }'
  chicago: Hetkämper, Tim, Leander Claes, and Bernd Henning. “Evolutionary Algorithm
    for the Design of Passive Electric Matching Networks for Ultrasonic Transducers.”
    In <i>2019 International Congress on Ultrasonics</i>, 2019. <a href="https://doi.org/10.1121/2.0001110">https://doi.org/10.1121/2.0001110</a>.
  ieee: T. Hetkämper, L. Claes, and B. Henning, “Evolutionary algorithm for the design
    of passive electric matching networks for ultrasonic transducers,” in <i>2019
    International Congress on Ultrasonics</i>, Bruges, 2019.
  mla: Hetkämper, Tim, et al. “Evolutionary Algorithm for the Design of Passive Electric
    Matching Networks for Ultrasonic Transducers.” <i>2019 International Congress
    on Ultrasonics</i>, 2019, doi:<a href="https://doi.org/10.1121/2.0001110">10.1121/2.0001110</a>.
  short: 'T. Hetkämper, L. Claes, B. Henning, in: 2019 International Congress on Ultrasonics,
    2019.'
conference:
  end_date: '2019-09-06 '
  location: Bruges
  name: 2019 International Congress on Ultrasonics
  start_date: 2019-09-03
date_created: 2020-02-25T12:17:24Z
date_updated: 2022-01-06T06:52:43Z
department:
- _id: '49'
doi: 10.1121/2.0001110
language:
- iso: eng
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: 2019 International Congress on Ultrasonics
status: public
title: Evolutionary algorithm for the design of passive electric matching networks
  for ultrasonic transducers
type: conference
user_id: '38123'
year: '2019'
...
---
_id: '16320'
author:
- first_name: Patrick
  full_name: Müller, Patrick
  id: '54037'
  last_name: Müller
  orcid: 0000-0003-1103-4073
- first_name: Adam
  full_name: Neuba, Adam
  last_name: Neuba
- first_name: Ulrich
  full_name: Flörke, Ulrich
  last_name: Flörke
- first_name: Gerald
  full_name: Henkel, Gerald
  last_name: Henkel
- first_name: Thomas D.
  full_name: Kühne, Thomas D.
  last_name: Kühne
- first_name: Matthias
  full_name: Bauer, Matthias
  id: '47241'
  last_name: Bauer
citation:
  ama: Müller P, Neuba A, Flörke U, Henkel G, Kühne TD, Bauer M. Experimental and
    Theoretical High Energy Resolution Hard X-ray Absorption and Emission Spectroscopy
    on Biomimetic Cu2S2 Complexes. <i>The Journal of Physical Chemistry A</i>. 2019:3575-3581.
    doi:<a href="https://doi.org/10.1021/acs.jpca.9b00463">10.1021/acs.jpca.9b00463</a>
  apa: Müller, P., Neuba, A., Flörke, U., Henkel, G., Kühne, T. D., &#38; Bauer, M.
    (2019). Experimental and Theoretical High Energy Resolution Hard X-ray Absorption
    and Emission Spectroscopy on Biomimetic Cu2S2 Complexes. <i>The Journal of Physical
    Chemistry A</i>, 3575–3581. <a href="https://doi.org/10.1021/acs.jpca.9b00463">https://doi.org/10.1021/acs.jpca.9b00463</a>
  bibtex: '@article{Müller_Neuba_Flörke_Henkel_Kühne_Bauer_2019, title={Experimental
    and Theoretical High Energy Resolution Hard X-ray Absorption and Emission Spectroscopy
    on Biomimetic Cu2S2 Complexes}, DOI={<a href="https://doi.org/10.1021/acs.jpca.9b00463">10.1021/acs.jpca.9b00463</a>},
    journal={The Journal of Physical Chemistry A}, author={Müller, Patrick and Neuba,
    Adam and Flörke, Ulrich and Henkel, Gerald and Kühne, Thomas D. and Bauer, Matthias},
    year={2019}, pages={3575–3581} }'
  chicago: Müller, Patrick, Adam Neuba, Ulrich Flörke, Gerald Henkel, Thomas D. Kühne,
    and Matthias Bauer. “Experimental and Theoretical High Energy Resolution Hard
    X-Ray Absorption and Emission Spectroscopy on Biomimetic Cu2S2 Complexes.” <i>The
    Journal of Physical Chemistry A</i>, 2019, 3575–81. <a href="https://doi.org/10.1021/acs.jpca.9b00463">https://doi.org/10.1021/acs.jpca.9b00463</a>.
  ieee: P. Müller, A. Neuba, U. Flörke, G. Henkel, T. D. Kühne, and M. Bauer, “Experimental
    and Theoretical High Energy Resolution Hard X-ray Absorption and Emission Spectroscopy
    on Biomimetic Cu2S2 Complexes,” <i>The Journal of Physical Chemistry A</i>, pp.
    3575–3581, 2019.
  mla: Müller, Patrick, et al. “Experimental and Theoretical High Energy Resolution
    Hard X-Ray Absorption and Emission Spectroscopy on Biomimetic Cu2S2 Complexes.”
    <i>The Journal of Physical Chemistry A</i>, 2019, pp. 3575–81, doi:<a href="https://doi.org/10.1021/acs.jpca.9b00463">10.1021/acs.jpca.9b00463</a>.
  short: P. Müller, A. Neuba, U. Flörke, G. Henkel, T.D. Kühne, M. Bauer, The Journal
    of Physical Chemistry A (2019) 3575–3581.
date_created: 2020-03-23T10:58:15Z
date_updated: 2022-01-06T06:52:48Z
department:
- _id: '35'
- _id: '306'
- _id: '304'
doi: 10.1021/acs.jpca.9b00463
language:
- iso: eng
page: 3575-3581
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: The Journal of Physical Chemistry A
publication_identifier:
  issn:
  - 1089-5639
  - 1520-5215
publication_status: published
status: public
title: Experimental and Theoretical High Energy Resolution Hard X-ray Absorption and
  Emission Spectroscopy on Biomimetic Cu2S2 Complexes
type: journal_article
user_id: '54038'
year: '2019'
...
---
_id: '16325'
author:
- first_name: Lukas
  full_name: Burkhardt, Lukas
  id: '54038'
  last_name: Burkhardt
  orcid: 0000-0003-0747-9811
citation:
  ama: 'Burkhardt L. <i>  Probing Iron-Ligand Interactions by Combining Modern High-Resolution
    Hard X-Ray Spectroscopy and Density Functional Theory : A Powerful Methodology
    in Cases Where Conventional Methods Fail / Vorgelegt von Lukas Burkhardt ; [Prof.
    Dr. Matthias Bauer (Erstgutachter), Prof. Dr. Thomas Kühne (Zweitgutachter), Jun.
    Prof. Dr. Stephan Hohloch (Drittprüfer)]</i>. Paderborn; 2019. doi:<a href="https://doi.org/10.17619/UNIPB/1-745">10.17619/UNIPB/1-745</a>'
  apa: 'Burkhardt, L. (2019). <i>  Probing Iron-Ligand interactions by combining modern
    high-resolution hard X-ray spectroscopy and density functional theory : a powerful
    methodology in cases where conventional methods fail / vorgelegt von Lukas Burkhardt ;
    [Prof. Dr. Matthias Bauer (Erstgutachter), Prof. Dr. Thomas Kühne (Zweitgutachter),
    Jun. Prof. Dr. Stephan Hohloch (Drittprüfer)]</i>. Paderborn. <a href="https://doi.org/10.17619/UNIPB/1-745">https://doi.org/10.17619/UNIPB/1-745</a>'
  bibtex: '@book{Burkhardt_2019, place={Paderborn}, title={  Probing Iron-Ligand interactions
    by combining modern high-resolution hard X-ray spectroscopy and density functional
    theory : a powerful methodology in cases where conventional methods fail / vorgelegt
    von Lukas Burkhardt ; [Prof. Dr. Matthias Bauer (Erstgutachter), Prof. Dr. Thomas
    Kühne (Zweitgutachter), Jun. Prof. Dr. Stephan Hohloch (Drittprüfer)]}, DOI={<a
    href="https://doi.org/10.17619/UNIPB/1-745">10.17619/UNIPB/1-745</a>}, author={Burkhardt,
    Lukas}, year={2019} }'
  chicago: 'Burkhardt, Lukas. <i>  Probing Iron-Ligand Interactions by Combining Modern
    High-Resolution Hard X-Ray Spectroscopy and Density Functional Theory : A Powerful
    Methodology in Cases Where Conventional Methods Fail / Vorgelegt von Lukas Burkhardt ;
    [Prof. Dr. Matthias Bauer (Erstgutachter), Prof. Dr. Thomas Kühne (Zweitgutachter),
    Jun. Prof. Dr. Stephan Hohloch (Drittprüfer)]</i>. Paderborn, 2019. <a href="https://doi.org/10.17619/UNIPB/1-745">https://doi.org/10.17619/UNIPB/1-745</a>.'
  ieee: 'L. Burkhardt, <i>  Probing Iron-Ligand interactions by combining modern high-resolution
    hard X-ray spectroscopy and density functional theory : a powerful methodology
    in cases where conventional methods fail / vorgelegt von Lukas Burkhardt ; [Prof.
    Dr. Matthias Bauer (Erstgutachter), Prof. Dr. Thomas Kühne (Zweitgutachter), Jun.
    Prof. Dr. Stephan Hohloch (Drittprüfer)]</i>. Paderborn, 2019.'
  mla: 'Burkhardt, Lukas. <i>  Probing Iron-Ligand Interactions by Combining Modern
    High-Resolution Hard X-Ray Spectroscopy and Density Functional Theory : A Powerful
    Methodology in Cases Where Conventional Methods Fail / Vorgelegt von Lukas Burkhardt ;
    [Prof. Dr. Matthias Bauer (Erstgutachter), Prof. Dr. Thomas Kühne (Zweitgutachter),
    Jun. Prof. Dr. Stephan Hohloch (Drittprüfer)]</i>. 2019, doi:<a href="https://doi.org/10.17619/UNIPB/1-745">10.17619/UNIPB/1-745</a>.'
  short: 'L. Burkhardt,   Probing Iron-Ligand Interactions by Combining Modern High-Resolution
    Hard X-Ray Spectroscopy and Density Functional Theory : A Powerful Methodology
    in Cases Where Conventional Methods Fail / Vorgelegt von Lukas Burkhardt ; [Prof.
    Dr. Matthias Bauer (Erstgutachter), Prof. Dr. Thomas Kühne (Zweitgutachter), Jun.
    Prof. Dr. Stephan Hohloch (Drittprüfer)], Paderborn, 2019.'
date_created: 2020-03-23T11:08:22Z
date_updated: 2022-01-06T06:52:49Z
department:
- _id: '43'
- _id: '35'
- _id: '306'
doi: 10.17619/UNIPB/1-745
language:
- iso: eng
main_file_link:
- url: http://digital.ub.uni-paderborn.de/hs/content/titleinfo/3130461
place: Paderborn
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication_status: published
status: public
supervisor:
- first_name: Matthias
  full_name: Bauer, Matthias
  id: '47241'
  last_name: Bauer
title: "\t Probing Iron-Ligand interactions by combining modern high-resolution hard
  X-ray spectroscopy and density functional theory : a powerful methodology in cases
  where conventional methods fail / vorgelegt von Lukas Burkhardt ; [Prof. Dr. Matthias
  Bauer (Erstgutachter), Prof. Dr. Thomas Kühne (Zweitgutachter), Jun. Prof. Dr. Stephan
  Hohloch (Drittprüfer)]"
type: dissertation
user_id: '54038'
year: '2019'
...
---
_id: '16327'
author:
- first_name: Patrick
  full_name: Müller, Patrick
  id: '54037'
  last_name: Müller
  orcid: 0000-0003-1103-4073
citation:
  ama: 'Müller P. <i>  Experimental and Theoretical (High Energy Resolution) X-Ray
    Absorption and Emission Spectroscopy / Vorgelegt von Patrick Müller ; [Promotionskommission:
    Prof. Dr.-Ing. Hans-Joachim Warnecke, Vorsitz; Prof. Dr. Matthias Bauer, Erstgutachter;
    Prof. Dr. Thomas D. Kühne, Zweitgutachter; Prof. Dr. Wolf Gero Schmidt]</i>. Paderborn;
    2019. doi:<a href="https://doi.org/10.17619/UNIPB/1-705">10.17619/UNIPB/1-705</a>'
  apa: 'Müller, P. (2019). <i>  Experimental and theoretical (high energy resolution)
    X-ray absorption and emission spectroscopy / vorgelegt von Patrick Müller ; [Promotionskommission:
    Prof. Dr.-Ing. Hans-Joachim Warnecke, Vorsitz; Prof. Dr. Matthias Bauer, Erstgutachter;
    Prof. Dr. Thomas D. Kühne, Zweitgutachter; Prof. Dr. Wolf Gero Schmidt]</i>. Paderborn.
    <a href="https://doi.org/10.17619/UNIPB/1-705">https://doi.org/10.17619/UNIPB/1-705</a>'
  bibtex: '@book{Müller_2019, place={Paderborn}, title={  Experimental and theoretical
    (high energy resolution) X-ray absorption and emission spectroscopy / vorgelegt
    von Patrick Müller ; [Promotionskommission: Prof. Dr.-Ing. Hans-Joachim Warnecke,
    Vorsitz; Prof. Dr. Matthias Bauer, Erstgutachter; Prof. Dr. Thomas D. Kühne, Zweitgutachter;
    Prof. Dr. Wolf Gero Schmidt]}, DOI={<a href="https://doi.org/10.17619/UNIPB/1-705">10.17619/UNIPB/1-705</a>},
    author={Müller, Patrick}, year={2019} }'
  chicago: 'Müller, Patrick. <i>  Experimental and Theoretical (High Energy Resolution)
    X-Ray Absorption and Emission Spectroscopy / Vorgelegt von Patrick Müller ; [Promotionskommission:
    Prof. Dr.-Ing. Hans-Joachim Warnecke, Vorsitz; Prof. Dr. Matthias Bauer, Erstgutachter;
    Prof. Dr. Thomas D. Kühne, Zweitgutachter; Prof. Dr. Wolf Gero Schmidt]</i>. Paderborn,
    2019. <a href="https://doi.org/10.17619/UNIPB/1-705">https://doi.org/10.17619/UNIPB/1-705</a>.'
  ieee: 'P. Müller, <i>  Experimental and theoretical (high energy resolution) X-ray
    absorption and emission spectroscopy / vorgelegt von Patrick Müller ; [Promotionskommission:
    Prof. Dr.-Ing. Hans-Joachim Warnecke, Vorsitz; Prof. Dr. Matthias Bauer, Erstgutachter;
    Prof. Dr. Thomas D. Kühne, Zweitgutachter; Prof. Dr. Wolf Gero Schmidt]</i>. Paderborn,
    2019.'
  mla: 'Müller, Patrick. <i>  Experimental and Theoretical (High Energy Resolution)
    X-Ray Absorption and Emission Spectroscopy / Vorgelegt von Patrick Müller ; [Promotionskommission:
    Prof. Dr.-Ing. Hans-Joachim Warnecke, Vorsitz; Prof. Dr. Matthias Bauer, Erstgutachter;
    Prof. Dr. Thomas D. Kühne, Zweitgutachter; Prof. Dr. Wolf Gero Schmidt]</i>. 2019,
    doi:<a href="https://doi.org/10.17619/UNIPB/1-705">10.17619/UNIPB/1-705</a>.'
  short: 'P. Müller,   Experimental and Theoretical (High Energy Resolution) X-Ray
    Absorption and Emission Spectroscopy / Vorgelegt von Patrick Müller ; [Promotionskommission:
    Prof. Dr.-Ing. Hans-Joachim Warnecke, Vorsitz; Prof. Dr. Matthias Bauer, Erstgutachter;
    Prof. Dr. Thomas D. Kühne, Zweitgutachter; Prof. Dr. Wolf Gero Schmidt], Paderborn,
    2019.'
date_created: 2020-03-23T11:10:56Z
date_updated: 2022-01-06T06:52:49Z
department:
- _id: '43'
- _id: '35'
- _id: '306'
- _id: '304'
doi: 10.17619/UNIPB/1-705
language:
- iso: eng
main_file_link:
- url: https://digital.ub.uni-paderborn.de/hs/id/3103462
place: Paderborn
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
status: public
supervisor:
- first_name: Matthias
  full_name: Bauer, Matthias
  id: '47241'
  last_name: Bauer
title: "\t Experimental and theoretical (high energy resolution) X-ray absorption
  and emission spectroscopy / vorgelegt von Patrick Müller ; [Promotionskommission:
  Prof. Dr.-Ing. Hans-Joachim Warnecke, Vorsitz; Prof. Dr. Matthias Bauer, Erstgutachter;
  Prof. Dr. Thomas D. Kühne, Zweitgutachter; Prof. Dr. Wolf Gero Schmidt]"
type: dissertation
user_id: '54038'
year: '2019'
...