---
_id: '21442'
author:
- first_name: Steffen Rainer
  full_name: Tinkloh, Steffen Rainer
  id: '72722'
  last_name: Tinkloh
- first_name: Tao
  full_name: Wu, Tao
  last_name: Wu
- first_name: Thomas
  full_name: Tröster, Thomas
  id: '553'
  last_name: Tröster
- first_name: Thomas
  full_name: Niendorf, Thomas
  last_name: Niendorf
citation:
  ama: 'Tinkloh SR, Wu T, Tröster T, Niendorf T. Development of a submodel technique
    for FFT-based solvers in micromechanical analysis. In: ; 2021.'
  apa: Tinkloh, S. R., Wu, T., Tröster, T., & Niendorf, T. (2021). Development
    of a submodel technique for FFT-based solvers in micromechanical analysis. Presented
    at the 2nd International Conference on Theoretical, Analytical and Computational
    Methods for Composite Materials and Composite Structures (online).
  bibtex: '@inproceedings{Tinkloh_Wu_Tröster_Niendorf_2021, title={Development of
    a submodel technique for FFT-based solvers in micromechanical analysis}, author={Tinkloh,
    Steffen Rainer and Wu, Tao and Tröster, Thomas and Niendorf, Thomas}, year={2021}
    }'
  chicago: Tinkloh, Steffen Rainer, Tao Wu, Thomas Tröster, and Thomas Niendorf. “Development
    of a Submodel Technique for FFT-Based Solvers in Micromechanical Analysis,” 2021.
  ieee: S. R. Tinkloh, T. Wu, T. Tröster, and T. Niendorf, “Development of a submodel
    technique for FFT-based solvers in micromechanical analysis,” presented at the
    2nd International Conference on Theoretical, Analytical and Computational Methods
    for Composite Materials and Composite Structures (online), 2021.
  mla: Tinkloh, Steffen Rainer, et al. <i>Development of a Submodel Technique for
    FFT-Based Solvers in Micromechanical Analysis</i>. 2021.
  short: 'S.R. Tinkloh, T. Wu, T. Tröster, T. Niendorf, in: 2021.'
conference:
  end_date: 2021-03-07
  name: 2nd International Conference on Theoretical, Analytical and Computational
    Methods for Composite Materials and Composite Structures (online)
  start_date: 2021-03-05
date_created: 2021-03-11T09:29:55Z
date_updated: 2022-01-06T06:54:59Z
ddc:
- '620'
department:
- _id: '9'
- _id: '321'
- _id: '149'
keyword:
- Micromechanics
- Fast Fourier Transform (FFT)
- Reduced Order Modelling
- Homogenization
language:
- iso: eng
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
status: public
title: Development of a submodel technique for FFT-based solvers in micromechanical
  analysis
type: conference_abstract
user_id: '72722'
year: '2021'
...
---
_id: '11913'
abstract:
- lang: eng
  text: In this paper we propose to employ directional statistics in a complex vector
    space to approach the problem of blind speech separation in the presence of spatially
    correlated noise. We interpret the values of the short time Fourier transform
    of the microphone signals to be draws from a mixture of complex Watson distributions,
    a probabilistic model which naturally accounts for spatial aliasing. The parameters
    of the density are related to the a priori source probabilities, the power of
    the sources and the transfer function ratios from sources to sensors. Estimation
    formulas are derived for these parameters by employing the Expectation Maximization
    (EM) algorithm. The E-step corresponds to the estimation of the source presence
    probabilities for each time-frequency bin, while the M-step leads to a maximum
    signal-to-noise ratio (MaxSNR) beamformer in the presence of uncertainty about
    the source activity. Experimental results are reported for an implementation in
    a generalized sidelobe canceller (GSC) like spatial beamforming configuration
    for 3 speech sources with significant coherent noise in reverberant environments,
    demonstrating the usefulness of the novel modeling framework.
author:
- first_name: Dang Hai
  full_name: Tran Vu, Dang Hai
  last_name: Tran Vu
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Tran Vu DH, Haeb-Umbach R. Blind speech separation employing directional statistics
    in an Expectation Maximization framework. In: <i>IEEE International Conference
    on Acoustics, Speech and Signal Processing (ICASSP 2010)</i>. ; 2010:241-244.
    doi:<a href="https://doi.org/10.1109/ICASSP.2010.5495994">10.1109/ICASSP.2010.5495994</a>'
  apa: Tran Vu, D. H., &#38; Haeb-Umbach, R. (2010). Blind speech separation employing
    directional statistics in an Expectation Maximization framework. In <i>IEEE International
    Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)</i> (pp. 241–244).
    <a href="https://doi.org/10.1109/ICASSP.2010.5495994">https://doi.org/10.1109/ICASSP.2010.5495994</a>
  bibtex: '@inproceedings{Tran Vu_Haeb-Umbach_2010, title={Blind speech separation
    employing directional statistics in an Expectation Maximization framework}, DOI={<a
    href="https://doi.org/10.1109/ICASSP.2010.5495994">10.1109/ICASSP.2010.5495994</a>},
    booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing
    (ICASSP 2010)}, author={Tran Vu, Dang Hai and Haeb-Umbach, Reinhold}, year={2010},
    pages={241–244} }'
  chicago: Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “Blind Speech Separation Employing
    Directional Statistics in an Expectation Maximization Framework.” In <i>IEEE International
    Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)</i>, 241–44,
    2010. <a href="https://doi.org/10.1109/ICASSP.2010.5495994">https://doi.org/10.1109/ICASSP.2010.5495994</a>.
  ieee: D. H. Tran Vu and R. Haeb-Umbach, “Blind speech separation employing directional
    statistics in an Expectation Maximization framework,” in <i>IEEE International
    Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)</i>, 2010,
    pp. 241–244.
  mla: Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “Blind Speech Separation Employing
    Directional Statistics in an Expectation Maximization Framework.” <i>IEEE International
    Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)</i>, 2010,
    pp. 241–44, doi:<a href="https://doi.org/10.1109/ICASSP.2010.5495994">10.1109/ICASSP.2010.5495994</a>.
  short: 'D.H. Tran Vu, R. Haeb-Umbach, in: IEEE International Conference on Acoustics,
    Speech and Signal Processing (ICASSP 2010), 2010, pp. 241–244.'
date_created: 2019-07-12T05:30:40Z
date_updated: 2022-01-06T06:51:12Z
department:
- _id: '54'
doi: 10.1109/ICASSP.2010.5495994
keyword:
- array signal processing
- blind source separation
- blind speech separation
- complex vector space
- complex Watson distribution
- directional statistics
- expectation-maximisation algorithm
- expectation maximization algorithm
- Fourier transform
- Fourier transforms
- generalized sidelobe canceller
- interference suppression
- maximum signal-to-noise ratio beamformer
- microphone signal
- probabilistic model
- spatial aliasing
- spatial beamforming configuration
- speech enhancement
- statistical distributions
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2010/DaHa10-2.pdf
oa: '1'
page: 241-244
publication: IEEE International Conference on Acoustics, Speech and Signal Processing
  (ICASSP 2010)
status: public
title: Blind speech separation employing directional statistics in an Expectation
  Maximization framework
type: conference
user_id: '44006'
year: '2010'
...