---
_id: '48896'
abstract:
- lang: eng
text: Hardness of Multi-Objective (MO) continuous optimization problems results
from an interplay of various problem characteristics, e. g. the degree of multi-modality.
We present a benchmark study of classical and diversity focused optimizers on
multi-modal MO problems based on automated algorithm configuration. We show the
large effect of the latter and investigate the trade-off between convergence in
objective space and diversity in decision space.
author:
- first_name: Jeroen
full_name: Rook, Jeroen
last_name: Rook
- first_name: Heike
full_name: Trautmann, Heike
last_name: Trautmann
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Christian
full_name: Grimme, Christian
last_name: Grimme
citation:
ama: 'Rook J, Trautmann H, Bossek J, Grimme C. On the Potential of Automated Algorithm
Configuration on Multi-Modal Multi-Objective Optimization Problems. In: Proceedings
of the Genetic and Evolutionary Computation Conference Companion. GECCO’22.
Association for Computing Machinery; 2022:356–359. doi:10.1145/3520304.3528998'
apa: Rook, J., Trautmann, H., Bossek, J., & Grimme, C. (2022). On the Potential
of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization
Problems. Proceedings of the Genetic and Evolutionary Computation Conference
Companion, 356–359. https://doi.org/10.1145/3520304.3528998
bibtex: '@inproceedings{Rook_Trautmann_Bossek_Grimme_2022, place={New York, NY,
USA}, series={GECCO’22}, title={On the Potential of Automated Algorithm Configuration
on Multi-Modal Multi-Objective Optimization Problems}, DOI={10.1145/3520304.3528998},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference
Companion}, publisher={Association for Computing Machinery}, author={Rook, Jeroen
and Trautmann, Heike and Bossek, Jakob and Grimme, Christian}, year={2022}, pages={356–359},
collection={GECCO’22} }'
chicago: 'Rook, Jeroen, Heike Trautmann, Jakob Bossek, and Christian Grimme. “On
the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective
Optimization Problems.” In Proceedings of the Genetic and Evolutionary Computation
Conference Companion, 356–359. GECCO’22. New York, NY, USA: Association for
Computing Machinery, 2022. https://doi.org/10.1145/3520304.3528998.'
ieee: 'J. Rook, H. Trautmann, J. Bossek, and C. Grimme, “On the Potential of Automated
Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems,”
in Proceedings of the Genetic and Evolutionary Computation Conference Companion,
2022, pp. 356–359, doi: 10.1145/3520304.3528998.'
mla: Rook, Jeroen, et al. “On the Potential of Automated Algorithm Configuration
on Multi-Modal Multi-Objective Optimization Problems.” Proceedings of the Genetic
and Evolutionary Computation Conference Companion, Association for Computing
Machinery, 2022, pp. 356–359, doi:10.1145/3520304.3528998.
short: 'J. Rook, H. Trautmann, J. Bossek, C. Grimme, in: Proceedings of the Genetic
and Evolutionary Computation Conference Companion, Association for Computing Machinery,
New York, NY, USA, 2022, pp. 356–359.'
date_created: 2023-11-14T15:59:00Z
date_updated: 2023-12-13T10:50:24Z
department:
- _id: '819'
doi: 10.1145/3520304.3528998
extern: '1'
keyword:
- configuration
- multi-modality
- multi-objective optimization
language:
- iso: eng
page: 356–359
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference Companion
publication_identifier:
isbn:
- 978-1-4503-9268-6
publisher: Association for Computing Machinery
series_title: GECCO’22
status: public
title: On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective
Optimization Problems
type: conference
user_id: '102979'
year: '2022'
...
---
_id: '19606'
abstract:
- lang: eng
text: Mobile shopping apps have been using Augmented Reality (AR) in the last years
to place their products in the environment of the customer. While this is possible
with atomic 3D objects, there is is still a lack in the runtime configuration of
3D object compositions based on user needs and environmental constraints. For
this, we previously developed an approach for model-based AR-assisted product
configuration based on the concept of Dynamic Software Product Lines. In this demonstration
paper, we present the corresponding tool support ProConAR in the form of a Product
Modeler and a Product Configurator. While the Product Modeler is an Angular web
app that splits products (e.g. table) up into atomic parts (e.g. tabletop, table
legs, funnier) and saves it within a configuration model, the Product Configurator
is an Android client that uses the configuration model to place different product
configurations within the environment of the customer. We show technical details
of our ready to use tool-chain ProConAR by describing its implementation and usage
as well as pointing out future research directions.
author:
- first_name: Sebastian
full_name: Gottschalk, Sebastian
id: '47208'
last_name: Gottschalk
- first_name: Enes
full_name: Yigitbas, Enes
id: '8447'
last_name: Yigitbas
orcid: 0000-0002-5967-833X
- first_name: Eugen
full_name: Schmidt, Eugen
last_name: Schmidt
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
citation:
ama: 'Gottschalk S, Yigitbas E, Schmidt E, Engels G. ProConAR: A Tool Support for
Model-based AR Product Configuration. In: Bernhaupt R, Ardito C, Sauer S, eds.
Human-Centered Software Engineering. HCSE 2020. Vol 12481. Lecture Notes
in Computer Science. Cham: Springer; 2020. doi:10.1007/978-3-030-64266-2_14'
apa: 'Gottschalk, S., Yigitbas, E., Schmidt, E., & Engels, G. (2020). ProConAR:
A Tool Support for Model-based AR Product Configuration. In R. Bernhaupt, C. Ardito,
& S. Sauer (Eds.), Human-Centered Software Engineering. HCSE 2020 (Vol.
12481). Cham: Springer. https://doi.org/10.1007/978-3-030-64266-2_14'
bibtex: '@inproceedings{Gottschalk_Yigitbas_Schmidt_Engels_2020, place={Cham}, series={Lecture
Notes in Computer Science}, title={ProConAR: A Tool Support for Model-based AR
Product Configuration}, volume={12481}, DOI={10.1007/978-3-030-64266-2_14},
booktitle={Human-Centered Software Engineering. HCSE 2020}, publisher={Springer},
author={Gottschalk, Sebastian and Yigitbas, Enes and Schmidt, Eugen and Engels,
Gregor}, editor={Bernhaupt, Regina and Ardito, Carmelo and Sauer, StefanEditors},
year={2020}, collection={Lecture Notes in Computer Science} }'
chicago: 'Gottschalk, Sebastian, Enes Yigitbas, Eugen Schmidt, and Gregor Engels.
“ProConAR: A Tool Support for Model-Based AR Product Configuration.” In Human-Centered
Software Engineering. HCSE 2020, edited by Regina Bernhaupt, Carmelo Ardito,
and Stefan Sauer, Vol. 12481. Lecture Notes in Computer Science. Cham: Springer,
2020. https://doi.org/10.1007/978-3-030-64266-2_14.'
ieee: 'S. Gottschalk, E. Yigitbas, E. Schmidt, and G. Engels, “ProConAR: A Tool
Support for Model-based AR Product Configuration,” in Human-Centered Software
Engineering. HCSE 2020, Eindhoven, 2020, vol. 12481.'
mla: 'Gottschalk, Sebastian, et al. “ProConAR: A Tool Support for Model-Based AR
Product Configuration.” Human-Centered Software Engineering. HCSE 2020,
edited by Regina Bernhaupt et al., vol. 12481, Springer, 2020, doi:10.1007/978-3-030-64266-2_14.'
short: 'S. Gottschalk, E. Yigitbas, E. Schmidt, G. Engels, in: R. Bernhaupt, C.
Ardito, S. Sauer (Eds.), Human-Centered Software Engineering. HCSE 2020, Springer,
Cham, 2020.'
conference:
end_date: 2020-12-02
location: Eindhoven
name: 8th International Working Conference on Human-Centered Software Engineering
(HCSE'20)
start_date: 2020-11-30
date_created: 2020-09-21T17:01:11Z
date_updated: 2022-01-06T06:54:07Z
ddc:
- '000'
department:
- _id: '66'
- _id: '534'
doi: 10.1007/978-3-030-64266-2_14
editor:
- first_name: Regina
full_name: Bernhaupt, Regina
last_name: Bernhaupt
- first_name: Carmelo
full_name: Ardito, Carmelo
last_name: Ardito
- first_name: Stefan
full_name: Sauer, Stefan
last_name: Sauer
file:
- access_level: open_access
content_type: application/pdf
creator: sego
date_created: 2020-11-30T08:39:18Z
date_updated: 2020-11-30T08:39:18Z
file_id: '20542'
file_name: HCSE20_demo.pdf
file_size: 3913885
relation: main_file
file_date_updated: 2020-11-30T08:39:18Z
has_accepted_license: '1'
intvolume: ' 12481'
keyword:
- Product Configuration
- Augmented Reality
- Model-based
- Tool Support
language:
- iso: eng
oa: '1'
place: Cham
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '17'
name: SFB 901 - Subproject C5
publication: Human-Centered Software Engineering. HCSE 2020
publisher: Springer
series_title: Lecture Notes in Computer Science
status: public
title: 'ProConAR: A Tool Support for Model-based AR Product Configuration'
type: conference
user_id: '47208'
volume: 12481
year: '2020'
...
---
_id: '18249'
abstract:
- lang: eng
text: Augmented Reality (AR) has recently found high attention in mobile shopping
apps such as in domains like furniture or decoration. Here, the developers of
the apps focus on the positioning of atomic 3D objects in the physical environment.
With this focus, they neglect the configuration of multi-faceted 3D object composition
according to the user needs and environmental constraints. To tackle these challenges,
we present a model-based approach to support AR-assisted product con-figuration
based on the concept of Dynamic Software Product Lines. Our approach splits products
(e.g. table) into parts (e.g. tabletop, ta-ble legs, funnier) with their 3D objects
and additional information (e.g. name, price). The possible products, which can
be configured out of these parts, are stored in a feature model. At runtime, this
feature model can be used to configure 3D object compositions out of the product
parts and adapt to user needs and environmental constraints. The benefits of this
approach are demonstrated by a case study of configuring modular kitchens with
the help of a prototypical mobile-based implementation.
author:
- first_name: Sebastian
full_name: Gottschalk, Sebastian
id: '47208'
last_name: Gottschalk
- first_name: Enes
full_name: Yigitbas, Enes
id: '8447'
last_name: Yigitbas
orcid: 0000-0002-5967-833X
- first_name: Eugen
full_name: Schmidt, Eugen
last_name: Schmidt
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
citation:
ama: 'Gottschalk S, Yigitbas E, Schmidt E, Engels G. Model-based Product Configuration
in Augmented Reality Applications. In: Bernhaupt R, Ardito C, Sauer S, eds. Human-Centered
Software Engineering. HCSE 2020. Vol 12481. Lecture Notes in Computer Science.
Cham: Springer; 2020. doi:10.1007/978-3-030-64266-2_5'
apa: 'Gottschalk, S., Yigitbas, E., Schmidt, E., & Engels, G. (2020). Model-based
Product Configuration in Augmented Reality Applications. In R. Bernhaupt, C. Ardito,
& S. Sauer (Eds.), Human-Centered Software Engineering. HCSE 2020 (Vol.
12481). Cham: Springer. https://doi.org/10.1007/978-3-030-64266-2_5'
bibtex: '@inproceedings{Gottschalk_Yigitbas_Schmidt_Engels_2020, place={Cham}, series={Lecture
Notes in Computer Science}, title={Model-based Product Configuration in Augmented
Reality Applications}, volume={12481}, DOI={10.1007/978-3-030-64266-2_5},
booktitle={Human-Centered Software Engineering. HCSE 2020}, publisher={Springer},
author={Gottschalk, Sebastian and Yigitbas, Enes and Schmidt, Eugen and Engels,
Gregor}, editor={Bernhaupt, Regina and Ardito, Carmelo and Sauer, StefanEditors},
year={2020}, collection={Lecture Notes in Computer Science} }'
chicago: 'Gottschalk, Sebastian, Enes Yigitbas, Eugen Schmidt, and Gregor Engels.
“Model-Based Product Configuration in Augmented Reality Applications.” In Human-Centered
Software Engineering. HCSE 2020, edited by Regina Bernhaupt, Carmelo Ardito,
and Stefan Sauer, Vol. 12481. Lecture Notes in Computer Science. Cham: Springer,
2020. https://doi.org/10.1007/978-3-030-64266-2_5.'
ieee: S. Gottschalk, E. Yigitbas, E. Schmidt, and G. Engels, “Model-based Product
Configuration in Augmented Reality Applications,” in Human-Centered Software
Engineering. HCSE 2020, Eindhoven, 2020, vol. 12481.
mla: Gottschalk, Sebastian, et al. “Model-Based Product Configuration in Augmented
Reality Applications.” Human-Centered Software Engineering. HCSE 2020,
edited by Regina Bernhaupt et al., vol. 12481, Springer, 2020, doi:10.1007/978-3-030-64266-2_5.
short: 'S. Gottschalk, E. Yigitbas, E. Schmidt, G. Engels, in: R. Bernhaupt, C.
Ardito, S. Sauer (Eds.), Human-Centered Software Engineering. HCSE 2020, Springer,
Cham, 2020.'
conference:
end_date: 2020-12-02
location: Eindhoven
name: 8th International Working Conference on Human-Centered Software Engineering
(HCSE'20)
start_date: 2020-11-30
date_created: 2020-08-25T08:27:38Z
date_updated: 2022-01-06T06:53:28Z
ddc:
- '000'
department:
- _id: '66'
- _id: '534'
doi: 10.1007/978-3-030-64266-2_5
editor:
- first_name: Regina
full_name: Bernhaupt, Regina
last_name: Bernhaupt
- first_name: Carmelo
full_name: Ardito, Carmelo
last_name: Ardito
- first_name: Stefan
full_name: Sauer, Stefan
last_name: Sauer
file:
- access_level: open_access
content_type: application/pdf
creator: sego
date_created: 2020-11-30T08:33:30Z
date_updated: 2020-11-30T08:36:52Z
file_id: '20541'
file_name: HCSE20_full.pdf
file_size: 2258601
relation: main_file
file_date_updated: 2020-11-30T08:36:52Z
has_accepted_license: '1'
intvolume: ' 12481'
keyword:
- Product Configuration
- Augmented Reality
- Runtime Adaptation
- Dynamic Software Product Lines
language:
- iso: eng
oa: '1'
place: Cham
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '17'
name: SFB 901 - Subproject C5
publication: Human-Centered Software Engineering. HCSE 2020
publication_status: published
publisher: Springer
series_title: Lecture Notes in Computer Science
status: public
title: Model-based Product Configuration in Augmented Reality Applications
type: conference
user_id: '47208'
volume: 12481
year: '2020'
...
---
_id: '20557'
author:
- first_name: Max
full_name: Lillack, Max
last_name: Lillack
- first_name: Christian
full_name: Kästner, Christian
last_name: Kästner
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: Lillack M, Kästner C, Bodden E. Tracking Load-time Configuration Options. IEEE
Transactions on Software Engineering. 2017;PP(99):1-1. doi:10.1109/TSE.2017.2756048
apa: Lillack, M., Kästner, C., & Bodden, E. (2017). Tracking Load-time Configuration
Options. IEEE Transactions on Software Engineering, PP(99), 1–1.
https://doi.org/10.1109/TSE.2017.2756048
bibtex: '@article{Lillack_Kästner_Bodden_2017, title={Tracking Load-time Configuration
Options}, volume={PP}, DOI={10.1109/TSE.2017.2756048},
number={99}, journal={IEEE Transactions on Software Engineering}, author={Lillack,
Max and Kästner, Christian and Bodden, Eric}, year={2017}, pages={1–1} }'
chicago: 'Lillack, Max, Christian Kästner, and Eric Bodden. “Tracking Load-Time
Configuration Options.” IEEE Transactions on Software Engineering PP, no.
99 (2017): 1–1. https://doi.org/10.1109/TSE.2017.2756048.'
ieee: 'M. Lillack, C. Kästner, and E. Bodden, “Tracking Load-time Configuration
Options,” IEEE Transactions on Software Engineering, vol. PP, no. 99, pp.
1–1, 2017, doi: 10.1109/TSE.2017.2756048.'
mla: Lillack, Max, et al. “Tracking Load-Time Configuration Options.” IEEE Transactions
on Software Engineering, vol. PP, no. 99, 2017, pp. 1–1, doi:10.1109/TSE.2017.2756048.
short: M. Lillack, C. Kästner, E. Bodden, IEEE Transactions on Software Engineering
PP (2017) 1–1.
date_created: 2020-11-30T11:06:43Z
date_updated: 2022-01-06T06:54:30Z
department:
- _id: '76'
doi: 10.1109/TSE.2017.2756048
issue: '99'
keyword:
- Androids
- Bluetooth
- Humanoid robots
- Java
- Software
- Tools
- Configuration options
- Static analysis
- Variability mining
language:
- iso: eng
main_file_link:
- url: http://bodden.de/pubs/lkb17lotrack.pdf
page: 1-1
publication: IEEE Transactions on Software Engineering
publication_identifier:
issn:
- 0098-5589
status: public
title: Tracking Load-time Configuration Options
type: journal_article
user_id: '5786'
volume: PP
year: '2017'
...
---
_id: '5671'
abstract:
- lang: eng
text: Multi-attribute value theory (MAVT)-based recommender systems have been proposed
for dealing with issues of existing recommender systems, such as the cold-start
problem and changing preferences. However, as we argue in this paper, existing
MAVT-based methods for measuring attribute importance weights do not fit the shopping
tasks for which recommender systems are typically used. These methods assume well-trained
decision makers who are willing to invest time and cognitive effort, and who are
familiar with the attributes describing the available alternatives and the ranges
of these attribute levels. Yet, recommender systems are most often used by consumers
who are usually not familiar with the available attributes and ranges and who
wish to save time and effort. Against this background, we develop a new method,
based on a product configuration process, which is tailored to the characteristics
of these particular decision makers. We empirically compare our method to SWING,
ranking-based conjoint analysis and TRADEOFF in a between-subjects laboratory
experiment with 153 participants. Results indicate that our proposed method performs
better than TRADEOFF and CONJOINT and at least as well as SWING in terms of recommendation
accuracy, better than SWING and TRADEOFF and at least as well as CONJOINT in terms
of cognitive load, and that participants were faster with our method than with
any other method. We conclude that our method is a promising option to help support
consumers' decision processes in e-commerce shopping tasks.
author:
- first_name: Michael
full_name: Scholz, Michael
last_name: Scholz
- first_name: Verena
full_name: Dorner, Verena
last_name: Dorner
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Alexander
full_name: Benlian, Alexander
last_name: Benlian
citation:
ama: Scholz M, Dorner V, Schryen G, Benlian A. A configuration-based recommender
system for supporting e-commerce decisions. European Journal of Operational
Research. 2017;259(1):205-215.
apa: Scholz, M., Dorner, V., Schryen, G., & Benlian, A. (2017). A configuration-based
recommender system for supporting e-commerce decisions. European Journal of
Operational Research, 259(1), 205–215.
bibtex: '@article{Scholz_Dorner_Schryen_Benlian_2017, title={A configuration-based
recommender system for supporting e-commerce decisions}, volume={259}, number={1},
journal={European Journal of Operational Research}, publisher={Elsevier}, author={Scholz,
Michael and Dorner, Verena and Schryen, Guido and Benlian, Alexander}, year={2017},
pages={205–215} }'
chicago: 'Scholz, Michael, Verena Dorner, Guido Schryen, and Alexander Benlian.
“A Configuration-Based Recommender System for Supporting e-Commerce Decisions.”
European Journal of Operational Research 259, no. 1 (2017): 205–15.'
ieee: M. Scholz, V. Dorner, G. Schryen, and A. Benlian, “A configuration-based recommender
system for supporting e-commerce decisions,” European Journal of Operational
Research, vol. 259, no. 1, pp. 205–215, 2017.
mla: Scholz, Michael, et al. “A Configuration-Based Recommender System for Supporting
e-Commerce Decisions.” European Journal of Operational Research, vol. 259,
no. 1, Elsevier, 2017, pp. 205–15.
short: M. Scholz, V. Dorner, G. Schryen, A. Benlian, European Journal of Operational
Research 259 (2017) 205–215.
date_created: 2018-11-14T15:06:18Z
date_updated: 2022-01-06T07:02:27Z
ddc:
- '000'
department:
- _id: '277'
extern: '1'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2018-12-07T11:30:59Z
date_updated: 2018-12-13T15:06:56Z
file_id: '6025'
file_name: EJOR article.pdf
file_size: 762889
relation: main_file
file_date_updated: 2018-12-13T15:06:56Z
has_accepted_license: '1'
intvolume: ' 259'
issue: '1'
keyword:
- E-Commerce
- Recommender System
- Attribute Weights
- Configuration System
- Decision Support
language:
- iso: eng
oa: '1'
page: 205 - 215
publication: European Journal of Operational Research
publisher: Elsevier
status: public
title: A configuration-based recommender system for supporting e-commerce decisions
type: journal_article
user_id: '61579'
volume: 259
year: '2017'
...
---
_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: IEEE International Conference
on Acoustics, Speech and Signal Processing (ICASSP 2010). ; 2010:241-244.
doi:10.1109/ICASSP.2010.5495994'
apa: Tran Vu, D. H., & Haeb-Umbach, R. (2010). Blind speech separation employing
directional statistics in an Expectation Maximization framework. In IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP 2010) (pp. 241–244).
https://doi.org/10.1109/ICASSP.2010.5495994
bibtex: '@inproceedings{Tran Vu_Haeb-Umbach_2010, title={Blind speech separation
employing directional statistics in an Expectation Maximization framework}, DOI={10.1109/ICASSP.2010.5495994},
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 IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP 2010), 241–44,
2010. https://doi.org/10.1109/ICASSP.2010.5495994.
ieee: D. H. Tran Vu and R. Haeb-Umbach, “Blind speech separation employing directional
statistics in an Expectation Maximization framework,” in IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP 2010), 2010,
pp. 241–244.
mla: Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “Blind Speech Separation Employing
Directional Statistics in an Expectation Maximization Framework.” IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP 2010), 2010,
pp. 241–44, doi:10.1109/ICASSP.2010.5495994.
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'
...