---
_id: '48838'
abstract:
- lang: eng
text: 'The majority of algorithms can be controlled or adjusted by parameters. Their
values can substantially affect the algorithms’ performance. Since the manual
exploration of the parameter space is tedious – even for few parameters – several
automatic procedures for parameter tuning have been proposed. Recent approaches
also take into account some characteristic properties of the problem instances,
frequently termed instance features. Our contribution is the proposal of a novel
concept for feature-based algorithm parameter tuning, which applies an approximating
surrogate model for learning the continuous feature-parameter mapping. To accomplish
this, we learn a joint model of the algorithm performance based on both the algorithm
parameters and the instance features. The required data is gathered using a recently
proposed acquisition function for model refinement in surrogate-based optimization:
the profile expected improvement. This function provides an avenue for maximizing
the information required for the feature-parameter mapping, i.e., the mapping
from instance features to the corresponding optimal algorithm parameters. The
approach is validated by applying the tuner to exemplary evolutionary algorithms
and problems, for which theoretically grounded or heuristically determined feature-parameter
mappings are available.'
author:
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Bernd
full_name: Bischl, Bernd
last_name: Bischl
- first_name: Tobias
full_name: Wagner, Tobias
last_name: Wagner
- first_name: Günter
full_name: Rudolph, Günter
last_name: Rudolph
citation:
ama: 'Bossek J, Bischl B, Wagner T, Rudolph G. Learning Feature-Parameter Mappings
for Parameter Tuning via the Profile Expected Improvement. In: Proceedings
of the Genetic and Evolutionary Computation Conference. GECCO ’15. Association
for Computing Machinery; 2015:1319–1326. doi:10.1145/2739480.2754673'
apa: Bossek, J., Bischl, B., Wagner, T., & Rudolph, G. (2015). Learning Feature-Parameter
Mappings for Parameter Tuning via the Profile Expected Improvement. Proceedings
of the Genetic and Evolutionary Computation Conference, 1319–1326. https://doi.org/10.1145/2739480.2754673
bibtex: '@inproceedings{Bossek_Bischl_Wagner_Rudolph_2015, place={New York, NY,
USA}, series={GECCO ’15}, title={Learning Feature-Parameter Mappings for Parameter
Tuning via the Profile Expected Improvement}, DOI={10.1145/2739480.2754673},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},
publisher={Association for Computing Machinery}, author={Bossek, Jakob and Bischl,
Bernd and Wagner, Tobias and Rudolph, Günter}, year={2015}, pages={1319–1326},
collection={GECCO ’15} }'
chicago: 'Bossek, Jakob, Bernd Bischl, Tobias Wagner, and Günter Rudolph. “Learning
Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement.”
In Proceedings of the Genetic and Evolutionary Computation Conference,
1319–1326. GECCO ’15. New York, NY, USA: Association for Computing Machinery,
2015. https://doi.org/10.1145/2739480.2754673.'
ieee: 'J. Bossek, B. Bischl, T. Wagner, and G. Rudolph, “Learning Feature-Parameter
Mappings for Parameter Tuning via the Profile Expected Improvement,” in Proceedings
of the Genetic and Evolutionary Computation Conference, 2015, pp. 1319–1326,
doi: 10.1145/2739480.2754673.'
mla: Bossek, Jakob, et al. “Learning Feature-Parameter Mappings for Parameter Tuning
via the Profile Expected Improvement.” Proceedings of the Genetic and Evolutionary
Computation Conference, Association for Computing Machinery, 2015, pp. 1319–1326,
doi:10.1145/2739480.2754673.
short: 'J. Bossek, B. Bischl, T. Wagner, G. Rudolph, in: Proceedings of the Genetic
and Evolutionary Computation Conference, Association for Computing Machinery,
New York, NY, USA, 2015, pp. 1319–1326.'
date_created: 2023-11-14T15:58:51Z
date_updated: 2023-12-13T10:40:30Z
department:
- _id: '819'
doi: 10.1145/2739480.2754673
extern: '1'
keyword:
- evolutionary algorithms
- model-based optimization
- parameter tuning
language:
- iso: eng
page: 1319–1326
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference
publication_identifier:
isbn:
- 978-1-4503-3472-3
publication_status: published
publisher: Association for Computing Machinery
series_title: GECCO ’15
status: public
title: Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected
Improvement
type: conference
user_id: '102979'
year: '2015'
...
---
_id: '1134'
abstract:
- lang: eng
text: This paper focuses on the first step in combining prescriptive analytics with
scenario techniques in order to provide strategicdevelopment after the useof InSciTe,
a data prescriptive analytics application. InSciTe supports the improvement of
researchers‘ individual performance by recommending new research directions. Standardized
influential factors are presented as a foundation for automated scenario modelling
such as the prototypical report generation function of InSciTe. Additionally,
a use-case is shown which validatesthe potential of the standardized influential
factors for raw scenario development.
author:
- first_name: Jens
full_name: Weber, Jens
last_name: Weber
- first_name: Cho
full_name: Minhee, Cho
last_name: Minhee
- first_name: Mikyoung
full_name: Lee, Mikyoung
last_name: Lee
- first_name: Sa-kwang
full_name: Song, Sa-kwang
last_name: Song
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
- first_name: Hanmin
full_name: Jung, Hanmin
last_name: Jung
citation:
ama: 'Weber J, Minhee C, Lee M, Song S, Geierhos M, Jung H. System Thinking: Crafting
Scenarios for Prescriptive Analytics. In: Jung H, Mandl T, Womsen-Hacker C, Xu
S, eds. Proceedings of the First International Workshop on Patent Mining and
Its Applications (IPaMin 2014) Co-Located with Konvens 2014. Vol 1292. CEUR
Workshop Proceedings. CEUR-WS.org; 2014.'
apa: 'Weber, J., Minhee, C., Lee, M., Song, S., Geierhos, M., & Jung, H. (2014).
System Thinking: Crafting Scenarios for Prescriptive Analytics. In H. Jung, T.
Mandl, C. Womsen-Hacker, & S. Xu (Eds.), Proceedings of the First International
Workshop on Patent Mining and Its Applications (IPaMin 2014) co-located with Konvens
2014 (Vol. 1292). Hildesheim, Germany: CEUR-WS.org.'
bibtex: '@inproceedings{Weber_Minhee_Lee_Song_Geierhos_Jung_2014, series={CEUR Workshop
Proceedings}, title={System Thinking: Crafting Scenarios for Prescriptive Analytics},
volume={1292}, booktitle={Proceedings of the First International Workshop on Patent
Mining and Its Applications (IPaMin 2014) co-located with Konvens 2014}, publisher={CEUR-WS.org},
author={Weber, Jens and Minhee, Cho and Lee, Mikyoung and Song, Sa-kwang and Geierhos,
Michaela and Jung, Hanmin}, editor={Jung, Hanmin and Mandl, Thomas and Womsen-Hacker,
Christa and Xu, ShuoEditors}, year={2014}, collection={CEUR Workshop Proceedings}
}'
chicago: 'Weber, Jens, Cho Minhee, Mikyoung Lee, Sa-kwang Song, Michaela Geierhos,
and Hanmin Jung. “System Thinking: Crafting Scenarios for Prescriptive Analytics.”
In Proceedings of the First International Workshop on Patent Mining and Its
Applications (IPaMin 2014) Co-Located with Konvens 2014, edited by Hanmin
Jung, Thomas Mandl, Christa Womsen-Hacker, and Shuo Xu, Vol. 1292. CEUR Workshop
Proceedings. CEUR-WS.org, 2014.'
ieee: 'J. Weber, C. Minhee, M. Lee, S. Song, M. Geierhos, and H. Jung, “System Thinking:
Crafting Scenarios for Prescriptive Analytics,” in Proceedings of the First
International Workshop on Patent Mining and Its Applications (IPaMin 2014) co-located
with Konvens 2014, Hildesheim, Germany, 2014, vol. 1292.'
mla: 'Weber, Jens, et al. “System Thinking: Crafting Scenarios for Prescriptive
Analytics.” Proceedings of the First International Workshop on Patent Mining
and Its Applications (IPaMin 2014) Co-Located with Konvens 2014, edited by
Hanmin Jung et al., vol. 1292, CEUR-WS.org, 2014.'
short: 'J. Weber, C. Minhee, M. Lee, S. Song, M. Geierhos, H. Jung, in: H. Jung,
T. Mandl, C. Womsen-Hacker, S. Xu (Eds.), Proceedings of the First International
Workshop on Patent Mining and Its Applications (IPaMin 2014) Co-Located with Konvens
2014, CEUR-WS.org, 2014.'
conference:
end_date: 2014-10-07
location: Hildesheim, Germany
name: First International Workshop on Patent Mining and Its Applications (IPaMin
2014)
start_date: 2014-10-06
date_created: 2018-01-30T15:27:08Z
date_updated: 2022-01-06T06:50:59Z
department:
- _id: '36'
- _id: '1'
- _id: '579'
editor:
- first_name: Hanmin
full_name: Jung, Hanmin
last_name: Jung
- first_name: Thomas
full_name: Mandl, Thomas
last_name: Mandl
- first_name: Christa
full_name: Womsen-Hacker, Christa
last_name: Womsen-Hacker
- first_name: Shuo
full_name: Xu, Shuo
last_name: Xu
intvolume: ' 1292'
keyword:
- Standardized Influential Factors
- Prescriptive Analytics
- Role Model Group
- Scenario Technique
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://ceur-ws.org/Vol-1292/ipamin2014_paper1.pdf
oa: '1'
publication: Proceedings of the First International Workshop on Patent Mining and
Its Applications (IPaMin 2014) co-located with Konvens 2014
publication_identifier:
issn:
- '16130073'
publication_status: published
publisher: CEUR-WS.org
quality_controlled: '1'
series_title: CEUR Workshop Proceedings
status: public
title: 'System Thinking: Crafting Scenarios for Prescriptive Analytics'
type: conference
user_id: '42496'
volume: 1292
year: '2014'
...
---
_id: '4474'
abstract:
- lang: eng
text: The transition from school to university can be overwhelming for some students.
While students' motivation is considered a strong predictor of performance, the
development of motivation during students' transition from high school to university
has rarely been investigated. Additionally, little is known about the relation
of motivational aspects with other influences on study performance. The present
mixed methods study addresses this research gap and examines the development of
economics students' study motivation. The longitudinal mixed-method study included
three waves of data collected using quantitative surveys and a series of five
interviews conducted with 14 first-year students over eight months. Regarding
students' development over time, the quantitative analysis showed a gradual decline
in students' motivation. However, in the interviews, certain events during the
first year were identified as critical incidents demotivating students. These
insights into the development of students' motivation at a business school show
that concrete incidents influence students' motivational development; thus, they
could be transformed by structural changes.
author:
- first_name: Taiga
full_name: Brahm, Taiga
last_name: Brahm
- first_name: Tobias
full_name: Jenert, Tobias
id: '71994'
last_name: Jenert
orcid: ' https://orcid.org/0000-0001-9262-5646'
citation:
ama: 'Brahm T, Jenert T. The crucial first year: The development of students’ motivation
at a Business School-a Mixed Methods Study. In: ; 2014.'
apa: 'Brahm, T., & Jenert, T. (2014). The crucial first year: The development
of students’ motivation at a Business School-a Mixed Methods Study. Presented
at the SIG4 Higher Education & SIG17 Qualitative and Quantitative Approaches
to Learning and Instruction Earli SIG Conference 2014, Leuven.'
bibtex: '@inproceedings{Brahm_Jenert_2014, title={The crucial first year: The development
of students’ motivation at a Business School-a Mixed Methods Study}, author={Brahm,
Taiga and Jenert, Tobias}, year={2014} }'
chicago: 'Brahm, Taiga, and Tobias Jenert. “The Crucial First Year: The Development
of Students’ Motivation at a Business School-a Mixed Methods Study,” 2014.'
ieee: 'T. Brahm and T. Jenert, “The crucial first year: The development of students’
motivation at a Business School-a Mixed Methods Study,” presented at the SIG4
Higher Education & SIG17 Qualitative and Quantitative Approaches to Learning
and Instruction Earli SIG Conference 2014, Leuven, 2014.'
mla: 'Brahm, Taiga, and Tobias Jenert. The Crucial First Year: The Development
of Students’ Motivation at a Business School-a Mixed Methods Study. 2014.'
short: 'T. Brahm, T. Jenert, in: 2014.'
conference:
end_date: 2014-08-22
location: Leuven
name: SIG4 Higher Education & SIG17 Qualitative and Quantitative Approaches to Learning
and Instruction Earli SIG Conference 2014
start_date: 2014-08-20
date_created: 2018-09-19T08:06:46Z
date_updated: 2022-01-06T07:01:06Z
department:
- _id: '208'
- _id: '282'
extern: '1'
keyword:
- motivation
- business school
- higher education
- latent growth curve model
- longitudinal study
- mixed methods
- interview
- students
status: public
title: 'The crucial first year: The development of students'' motivation at a Business
School-a Mixed Methods Study'
type: conference
user_id: '51057'
year: '2014'
...
---
_id: '9868'
abstract:
- lang: eng
text: In order to increase mechanical strength, heat dissipation and ampacity and
to decrease failure through fatigue fracture, wedge copper wire bonding is being
introduced as a standard interconnection method for mass production. To achieve
the same process stability when using copper wire instead of aluminum wire a profound
understanding of the bonding process is needed. Due to the higher hardness of
copper compared to aluminum wire it is more difficult to approach the surfaces
of wire and substrate to a level where van der Waals forces are able to arise
between atoms. Also, enough friction energy referred to the total contact area
has to be generated to activate the surfaces. Therefore, a friction model is used
to simulate the joining process. This model calculates the resulting energy of
partial areas in the contact surface and provides information about the adhesion
process of each area. The focus here is on the arising of micro joints in the
contact area depending on the location in the contact and time. To validate the
model, different touchdown forces are used to vary the initial contact areas of
wire and substrate. Additionally, a piezoelectric tri-axial force sensor is built
up to identify the known phases of pre-deforming, cleaning, adhering and diffusing
for the real bonding process to map with the model. Test substrates as DBC and
copper plate are used to show the different formations of a wedge bond connection
due to hardness and reaction propensity. The experiments were done by using 500
$\mu$m copper wire and a standard V-groove tool.
author:
- first_name: Simon
full_name: Althoff, Simon
last_name: Althoff
- first_name: Jan
full_name: Neuhaus, Jan
last_name: Neuhaus
- first_name: Tobias
full_name: Hemsel, Tobias
id: '210'
last_name: Hemsel
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Althoff S, Neuhaus J, Hemsel T, Sextro W. Improving the bond quality of copper
wire bonds using a friction model approach. In: Electronic Components and Technology
Conference (ECTC), 2014 IEEE 64th. ; 2014:1549-1555. doi:10.1109/ECTC.2014.6897500'
apa: Althoff, S., Neuhaus, J., Hemsel, T., & Sextro, W. (2014). Improving the
bond quality of copper wire bonds using a friction model approach. In Electronic
Components and Technology Conference (ECTC), 2014 IEEE 64th (pp. 1549–1555).
https://doi.org/10.1109/ECTC.2014.6897500
bibtex: '@inproceedings{Althoff_Neuhaus_Hemsel_Sextro_2014, title={Improving the
bond quality of copper wire bonds using a friction model approach}, DOI={10.1109/ECTC.2014.6897500},
booktitle={Electronic Components and Technology Conference (ECTC), 2014 IEEE 64th},
author={Althoff, Simon and Neuhaus, Jan and Hemsel, Tobias and Sextro, Walter},
year={2014}, pages={1549–1555} }'
chicago: Althoff, Simon, Jan Neuhaus, Tobias Hemsel, and Walter Sextro. “Improving
the Bond Quality of Copper Wire Bonds Using a Friction Model Approach.” In Electronic
Components and Technology Conference (ECTC), 2014 IEEE 64th, 1549–55, 2014.
https://doi.org/10.1109/ECTC.2014.6897500.
ieee: S. Althoff, J. Neuhaus, T. Hemsel, and W. Sextro, “Improving the bond quality
of copper wire bonds using a friction model approach,” in Electronic Components
and Technology Conference (ECTC), 2014 IEEE 64th, 2014, pp. 1549–1555.
mla: Althoff, Simon, et al. “Improving the Bond Quality of Copper Wire Bonds Using
a Friction Model Approach.” Electronic Components and Technology Conference
(ECTC), 2014 IEEE 64th, 2014, pp. 1549–55, doi:10.1109/ECTC.2014.6897500.
short: 'S. Althoff, J. Neuhaus, T. Hemsel, W. Sextro, in: Electronic Components
and Technology Conference (ECTC), 2014 IEEE 64th, 2014, pp. 1549–1555.'
date_created: 2019-05-20T12:11:44Z
date_updated: 2019-09-16T10:57:58Z
department:
- _id: '151'
doi: 10.1109/ECTC.2014.6897500
keyword:
- adhesion
- circuit reliability
- deformation
- diffusion
- fatigue cracks
- friction
- interconnections
- lead bonding
- van der Waals forces
- Cu
- adhering process
- adhesion process
- ampacity improvement
- bond quality improvement
- cleaning process
- diffusing process
- fatigue fracture failure
- friction energy
- friction model
- heat dissipation
- mechanical strength
- piezoelectric triaxial force sensor
- predeforming process
- size 500 mum
- total contact area
- van der Waals forces
- wedge copper wire bonding
- Bonding
- Copper
- Finite element analysis
- Force
- Friction
- Substrates
- Wires
language:
- iso: eng
page: 1549-1555
publication: Electronic Components and Technology Conference (ECTC), 2014 IEEE 64th
quality_controlled: '1'
status: public
title: Improving the bond quality of copper wire bonds using a friction model approach
type: conference
user_id: '55222'
year: '2014'
...
---
_id: '9879'
abstract:
- lang: eng
text: Application of prognostics and health management (PHM) in the field of Proton
Exchange Membrane (PEM) fuel cells is emerging as an important tool in increasing
the reliability and availability of these systems. Though a lot of work is currently
being conducted to develop PHM systems for fuel cells, various challenges have
been encountered including the self-healing effect after characterization as well
as accelerated degradation due to dynamic loading, all which make RUL predictions
a difficult task. In this study, a prognostic approach based on adaptive particle
filter algorithm is proposed. The novelty of the proposed method lies in the introduction
of a self-healing factor after each characterization and the adaption of the degradation
model parameters to fit to the changing degradation trend. An ensemble of five
different state models based on weighted mean is then developed. The results show
that the method is effective in estimating the remaining useful life of PEM fuel
cells, with majority of the predictions falling within 5\% error. The method was
employed in the IEEE 2014 PHM Data Challenge and led to our team emerging the
winner of the RUL category of the challenge.
author:
- first_name: 'James Kuria '
full_name: 'Kimotho, James Kuria '
last_name: Kimotho
- first_name: Tobias
full_name: Meyer, Tobias
last_name: Meyer
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Kimotho JK, Meyer T, Sextro W. PEM fuel cell prognostics using particle filter
with model parameter adaptation. In: Prognostics and Health Management (PHM),
2014 IEEE Conference On. ; 2014:1-6. doi:10.1109/ICPHM.2014.7036406'
apa: Kimotho, J. K., Meyer, T., & Sextro, W. (2014). PEM fuel cell prognostics
using particle filter with model parameter adaptation. In Prognostics and Health
Management (PHM), 2014 IEEE Conference on (pp. 1–6). https://doi.org/10.1109/ICPHM.2014.7036406
bibtex: '@inproceedings{Kimotho_Meyer_Sextro_2014, title={PEM fuel cell prognostics
using particle filter with model parameter adaptation}, DOI={10.1109/ICPHM.2014.7036406},
booktitle={Prognostics and Health Management (PHM), 2014 IEEE Conference on},
author={Kimotho, James Kuria and Meyer, Tobias and Sextro, Walter}, year={2014},
pages={1–6} }'
chicago: Kimotho, James Kuria , Tobias Meyer, and Walter Sextro. “PEM Fuel Cell
Prognostics Using Particle Filter with Model Parameter Adaptation.” In Prognostics
and Health Management (PHM), 2014 IEEE Conference On, 1–6, 2014. https://doi.org/10.1109/ICPHM.2014.7036406.
ieee: J. K. Kimotho, T. Meyer, and W. Sextro, “PEM fuel cell prognostics using particle
filter with model parameter adaptation,” in Prognostics and Health Management
(PHM), 2014 IEEE Conference on, 2014, pp. 1–6.
mla: Kimotho, James Kuria, et al. “PEM Fuel Cell Prognostics Using Particle Filter
with Model Parameter Adaptation.” Prognostics and Health Management (PHM),
2014 IEEE Conference On, 2014, pp. 1–6, doi:10.1109/ICPHM.2014.7036406.
short: 'J.K. Kimotho, T. Meyer, W. Sextro, in: Prognostics and Health Management
(PHM), 2014 IEEE Conference On, 2014, pp. 1–6.'
date_created: 2019-05-20T13:11:02Z
date_updated: 2019-05-20T13:12:27Z
department:
- _id: '151'
doi: 10.1109/ICPHM.2014.7036406
keyword:
- ageing
- particle filtering (numerical methods)
- proton exchange membrane fuel cells
- remaining life assessment
- PEM fuel cell prognostics
- PHM
- RUL predictions
- accelerated degradation
- adaptive particle filter algorithm
- dynamic loading
- model parameter adaptation
- prognostics and health management
- proton exchange membrane fuel cells
- remaining useful life estimation
- self-healing effect
- Adaptation models
- Data models
- Degradation
- Estimation
- Fuel cells
- Mathematical model
- Prognostics and health management
language:
- iso: eng
page: 1-6
publication: Prognostics and Health Management (PHM), 2014 IEEE Conference on
status: public
title: PEM fuel cell prognostics using particle filter with model parameter adaptation
type: conference
user_id: '55222'
year: '2014'
...
---
_id: '9880'
abstract:
- lang: eng
text: With the paradigm shift towards prognostic and health management (PHM) of
machinery, there is need for reliable PHM methodologies with narrow error bounds
to allow maintenance engineers take decisive maintenance actions based on the
prognostic results. Prognostics is mainly concerned with the estimation of the
remaining useful life (RUL) or time to failure (TTF). The accuracy of PHM methods
is usually a function of the features extracted from the raw data obtained from
sensors. In cases where the extracted features do not display clear degradation
trends, for instance highly loaded bearings, the accuracy of the state of the
art PHM methods is significantly affected. The data which lacks clear degradation
trend is referred to as non-trending data. This study presents a method for extracting
degradation trends from non-trending condition monitoring data for RUL estimation.
The raw signals are first filtered using a discrete wavelet transform (DWT) denoising
filter to remove noise from the acquired signals. Time domain, frequency domain
and time-frequency domain features are then extracted from the filtered signals.
An autoregressive model is then applied to the extracted features to identify
the degradation trends. Features representing the maximum health information are
then selected based on a performance evaluation criteria using extreme learning
machine (ELM) algorithm. The selected features can then be used as inputs in a
prognostic algorithm. The feasibility of the method is demonstrated using experimental
bearing vibration data. The performance of the method is evaluated on the accuracy
of RUL estimation and the results show that the method can be used to accurately
estimate RUL with a maximum error of 10\%.
author:
- first_name: James Kuria
full_name: Kimotho, James Kuria
last_name: Kimotho
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Kimotho JK, Sextro W. An approach for feature extraction and selection from
non-trending data for machinery prognosis. In: Proceedings of the Second European
Conference of the Prognostics and Health Management Society 2014. Vol 5. ;
2014.'
apa: Kimotho, J. K., & Sextro, W. (2014). An approach for feature extraction
and selection from non-trending data for machinery prognosis. In Proceedings
of the Second European Conference of the Prognostics and Health Management Society
2014 (Vol. 5).
bibtex: '@inproceedings{Kimotho_Sextro_2014, title={An approach for feature extraction
and selection from non-trending data for machinery prognosis}, volume={5}, booktitle={Proceedings
of the Second European Conference of the Prognostics and Health Management Society
2014}, author={Kimotho, James Kuria and Sextro, Walter}, year={2014} }'
chicago: Kimotho, James Kuria, and Walter Sextro. “An Approach for Feature Extraction
and Selection from Non-Trending Data for Machinery Prognosis.” In Proceedings
of the Second European Conference of the Prognostics and Health Management Society
2014, Vol. 5, 2014.
ieee: J. K. Kimotho and W. Sextro, “An approach for feature extraction and selection
from non-trending data for machinery prognosis,” in Proceedings of the Second
European Conference of the Prognostics and Health Management Society 2014,
2014, vol. 5.
mla: Kimotho, James Kuria, and Walter Sextro. “An Approach for Feature Extraction
and Selection from Non-Trending Data for Machinery Prognosis.” Proceedings
of the Second European Conference of the Prognostics and Health Management Society
2014, vol. 5, 2014.
short: 'J.K. Kimotho, W. Sextro, in: Proceedings of the Second European Conference
of the Prognostics and Health Management Society 2014, 2014.'
date_created: 2019-05-20T13:13:00Z
date_updated: 2019-09-16T10:37:35Z
department:
- _id: '151'
intvolume: ' 5'
keyword:
- autoregressive model ELM feature extraction feature selection non-trending Remaining
useful Life
language:
- iso: eng
publication: Proceedings of the Second European Conference of the Prognostics and
Health Management Society 2014
quality_controlled: '1'
status: public
title: An approach for feature extraction and selection from non-trending data for
machinery prognosis
type: conference
user_id: '55222'
volume: 5
year: '2014'
...
---
_id: '9895'
abstract:
- lang: eng
text: Power semiconductor modules are used to control and switch high electrical
currents and voltages. Within the power module package wire bonding is used as
an interconnection technology. In recent years, aluminum wire has been used preferably,
but an ever-growing market of powerful and efficient power modules requires a
material with better mechanical and electrical properties. For this reason, a
technology change from aluminum to copper is indispensable. However, the copper
wire bonding process reacts more sensitive to parameter changes. This makes manufacturing
reliable copper bond connections a challenging task. The aim of the BMBF funded
project Itsowl-InCuB is the development of self-optimizing techniques to enable
the reliable production of copper bond connections under varying conditions. A
model of the process is essential to achieve this aim. This model needs to include
the dynamic elasto-plastic deformation, the ultrasonic softening effect and the
proceeding adhesion between wire and substrate. This paper focusses on the pre-deformation
process. In the touchdown phase, the wire is pressed into the V-groove of the
tool and a small initial contact area between wire and substrate arise. The local
characteristics of the material change abruptly because of the cold forming. Consequently,
the pre-deformation has a strong effect on the joining process. In [1], a pre-cleaning
effect during the touchdown process of aluminum wires by cracking of oxide layers
was presented. These interactions of the process parameters are still largely
unknown for copper. In a first step, this paper validates the importance of modeling
the pre-deformation by showing its impact on the wire deformation characteristic
experimentally. Creating cross-section views of pre-deformed copper wires has
shown a low deformation degree compared to aluminum. By using a digital microscope
and a scanning confocal microscope an analysis about the contact areas and penetration
depths after touchdown has been made. Additionally, it has to be taken into account
that the dynamical touchdown force depends on the touchdown speed and the touchdown
force set in the bonding machine. In order to measure the overshoot in the force
signals, a strain gauge sensor has been used. Subsequently, the affecting factors
have been interpreted independently Furthermore, the material properties of copper
wire have been investigated with tensile tests and hardness measurements. In a
second step, the paper presents finite element models of the touchdown process
for source and destination bonds. These models take the measured overshoot in
the touchdown forces into account. A multi-linear, isotropic material model has
been selected to map the material properties of the copper. A validation of the
model with the experimental determined contact areas, normal pressures and penetration
depths reveals the high model quality. Thus, the simulation is able to calculate
and visualize the three dimensional pre-deformation with an integrated material
parameter of the wire if the touchdown parameters of the bonding machine are known.
Based on the calculated deformation degrees of wire and substrate, it is probably
possible to investigate the effect of the pre-deformation on the pre-cleaning
phase in the copper wire bonding.
author:
- first_name: Andreas
full_name: Unger, Andreas
last_name: Unger
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
- first_name: Simon
full_name: Althoff, Simon
last_name: Althoff
- first_name: Paul
full_name: Eichwald, Paul
last_name: Eichwald
- first_name: Tobias
full_name: Meyer, Tobias
last_name: Meyer
- first_name: Florian
full_name: Eacock, Florian
last_name: Eacock
- first_name: Michael
full_name: Brökelmann, Michael
last_name: Brökelmann
citation:
ama: 'Unger A, Sextro W, Althoff S, et al. Experimental and Numerical Simulation
Study of Pre-Deformed Heavy Copper Wire Wedge Bonds. In: Proceedings of the
47th International Symposium on Microelectronics (IMAPS). San Diego, CA, US;
2014:289-294.'
apa: Unger, A., Sextro, W., Althoff, S., Eichwald, P., Meyer, T., Eacock, F., &
Brökelmann, M. (2014). Experimental and Numerical Simulation Study of Pre-Deformed
Heavy Copper Wire Wedge Bonds. In Proceedings of the 47th International Symposium
on Microelectronics (IMAPS) (pp. 289–294). San Diego, CA, US.
bibtex: '@inproceedings{Unger_Sextro_Althoff_Eichwald_Meyer_Eacock_Brökelmann_2014,
place={San Diego, CA, US}, title={Experimental and Numerical Simulation Study
of Pre-Deformed Heavy Copper Wire Wedge Bonds}, booktitle={Proceedings of the
47th International Symposium on Microelectronics (IMAPS)}, author={Unger, Andreas
and Sextro, Walter and Althoff, Simon and Eichwald, Paul and Meyer, Tobias and
Eacock, Florian and Brökelmann, Michael}, year={2014}, pages={289–294} }'
chicago: Unger, Andreas, Walter Sextro, Simon Althoff, Paul Eichwald, Tobias Meyer,
Florian Eacock, and Michael Brökelmann. “Experimental and Numerical Simulation
Study of Pre-Deformed Heavy Copper Wire Wedge Bonds.” In Proceedings of the
47th International Symposium on Microelectronics (IMAPS), 289–94. San Diego,
CA, US, 2014.
ieee: A. Unger et al., “Experimental and Numerical Simulation Study of Pre-Deformed
Heavy Copper Wire Wedge Bonds,” in Proceedings of the 47th International Symposium
on Microelectronics (IMAPS), 2014, pp. 289–294.
mla: Unger, Andreas, et al. “Experimental and Numerical Simulation Study of Pre-Deformed
Heavy Copper Wire Wedge Bonds.” Proceedings of the 47th International Symposium
on Microelectronics (IMAPS), 2014, pp. 289–94.
short: 'A. Unger, W. Sextro, S. Althoff, P. Eichwald, T. Meyer, F. Eacock, M. Brökelmann,
in: Proceedings of the 47th International Symposium on Microelectronics (IMAPS),
San Diego, CA, US, 2014, pp. 289–294.'
date_created: 2019-05-20T13:35:09Z
date_updated: 2020-05-07T05:33:47Z
department:
- _id: '151'
keyword:
- pre-deformation
- copper wire bonding
- finite element model
language:
- iso: eng
page: 289-294
place: San Diego, CA, US
project:
- _id: '92'
grant_number: 02 PQ2210
name: Intelligente Herstellung zuverlässiger Kupferbondverbindungen
publication: Proceedings of the 47th International Symposium on Microelectronics (IMAPS)
status: public
title: Experimental and Numerical Simulation Study of Pre-Deformed Heavy Copper Wire
Wedge Bonds
type: conference
user_id: '210'
year: '2014'
...
---
_id: '11753'
abstract:
- lang: eng
text: This contribution describes a step-wise source counting algorithm to determine
the number of speakers in an offline scenario. Each speaker is identified by a
variational expectation maximization (VEM) algorithm for complex Watson mixture
models and therefore directly yields beamforming vectors for a subsequent speech
separation process. An observation selection criterion is proposed which improves
the robustness of the source counting in noise. The algorithm is compared to an
alternative VEM approach with Gaussian mixture models based on directions of arrival
and shown to deliver improved source counting accuracy. The article concludes
by extending the offline algorithm towards a low-latency online estimation of
the number of active sources from the streaming input data.
author:
- first_name: Lukas
full_name: Drude, Lukas
id: '11213'
last_name: Drude
- first_name: Aleksej
full_name: Chinaev, Aleksej
last_name: Chinaev
- 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: 'Drude L, Chinaev A, Tran Vu DH, Haeb-Umbach R. Towards Online Source Counting
in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models.
In: 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014).
; 2014:213-217.'
apa: Drude, L., Chinaev, A., Tran Vu, D. H., & Haeb-Umbach, R. (2014). Towards
Online Source Counting in Speech Mixtures Applying a Variational EM for Complex
Watson Mixture Models. In 14th International Workshop on Acoustic Signal Enhancement
(IWAENC 2014) (pp. 213–217).
bibtex: '@inproceedings{Drude_Chinaev_Tran Vu_Haeb-Umbach_2014, title={Towards Online
Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson
Mixture Models}, booktitle={14th International Workshop on Acoustic Signal Enhancement
(IWAENC 2014)}, author={Drude, Lukas and Chinaev, Aleksej and Tran Vu, Dang Hai
and Haeb-Umbach, Reinhold}, year={2014}, pages={213–217} }'
chicago: Drude, Lukas, Aleksej Chinaev, Dang Hai Tran Vu, and Reinhold Haeb-Umbach.
“Towards Online Source Counting in Speech Mixtures Applying a Variational EM for
Complex Watson Mixture Models.” In 14th International Workshop on Acoustic
Signal Enhancement (IWAENC 2014), 213–17, 2014.
ieee: L. Drude, A. Chinaev, D. H. Tran Vu, and R. Haeb-Umbach, “Towards Online Source
Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture
Models,” in 14th International Workshop on Acoustic Signal Enhancement (IWAENC
2014), 2014, pp. 213–217.
mla: Drude, Lukas, et al. “Towards Online Source Counting in Speech Mixtures Applying
a Variational EM for Complex Watson Mixture Models.” 14th International Workshop
on Acoustic Signal Enhancement (IWAENC 2014), 2014, pp. 213–17.
short: 'L. Drude, A. Chinaev, D.H. Tran Vu, R. Haeb-Umbach, in: 14th International
Workshop on Acoustic Signal Enhancement (IWAENC 2014), 2014, pp. 213–217.'
date_created: 2019-07-12T05:27:35Z
date_updated: 2022-01-06T06:51:08Z
department:
- _id: '54'
keyword:
- Accuracy
- Acoustics
- Estimation
- Mathematical model
- Soruce separation
- Speech
- Vectors
- Bayes methods
- Blind source separation
- Directional statistics
- Number of speakers
- Speaker diarization
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2014/DrChTrHaeb14.pdf
oa: '1'
page: 213-217
publication: 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014)
related_material:
link:
- description: Poster
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2014/DrChTrHaeb14_Poster.pdf
status: public
title: Towards Online Source Counting in Speech Mixtures Applying a Variational EM
for Complex Watson Mixture Models
type: conference
user_id: '44006'
year: '2014'
...
---
_id: '11861'
abstract:
- lang: eng
text: 'In this contribution we present a theoretical and experimental investigation
into the effects of reverberation and noise on features in the logarithmic mel
power spectral domain, an intermediate stage in the computation of the mel frequency
cepstral coefficients, prevalent in automatic speech recognition (ASR). Gaining
insight into the complex interaction between clean speech, noise, and noisy reverberant
speech features is essential for any ASR system to be robust against noise and
reverberation present in distant microphone input signals. The findings are gathered
in a probabilistic formulation of an observation model which may be used in model-based
feature compensation schemes. The proposed observation model extends previous
models in three major directions: First, the contribution of additive background
noise to the observation error is explicitly taken into account. Second, an energy
compensation constant is introduced which ensures an unbiased estimate of the
reverberant speech features, and, third, a recursive variant of the observation
model is developed resulting in reduced computational complexity when used in
model-based feature compensation. The experimental section is used to evaluate
the accuracy of the model and to describe how its parameters can be determined
from test data.'
author:
- first_name: Volker
full_name: Leutnant, Volker
last_name: Leutnant
- first_name: Alexander
full_name: Krueger, Alexander
last_name: Krueger
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: Leutnant V, Krueger A, Haeb-Umbach R. A New Observation Model in the Logarithmic
Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech.
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2014;22(1):95-109.
doi:10.1109/TASLP.2013.2285480
apa: Leutnant, V., Krueger, A., & Haeb-Umbach, R. (2014). A New Observation
Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition
of Noisy Reverberant Speech. IEEE/ACM Transactions on Audio, Speech, and Language
Processing, 22(1), 95–109. https://doi.org/10.1109/TASLP.2013.2285480
bibtex: '@article{Leutnant_Krueger_Haeb-Umbach_2014, title={A New Observation Model
in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of
Noisy Reverberant Speech}, volume={22}, DOI={10.1109/TASLP.2013.2285480},
number={1}, journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing},
author={Leutnant, Volker and Krueger, Alexander and Haeb-Umbach, Reinhold}, year={2014},
pages={95–109} }'
chicago: 'Leutnant, Volker, Alexander Krueger, and Reinhold Haeb-Umbach. “A New
Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic
Recognition of Noisy Reverberant Speech.” IEEE/ACM Transactions on Audio, Speech,
and Language Processing 22, no. 1 (2014): 95–109. https://doi.org/10.1109/TASLP.2013.2285480.'
ieee: V. Leutnant, A. Krueger, and R. Haeb-Umbach, “A New Observation Model in the
Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant
Speech,” IEEE/ACM Transactions on Audio, Speech, and Language Processing,
vol. 22, no. 1, pp. 95–109, 2014.
mla: Leutnant, Volker, et al. “A New Observation Model in the Logarithmic Mel Power
Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech.” IEEE/ACM
Transactions on Audio, Speech, and Language Processing, vol. 22, no. 1, 2014,
pp. 95–109, doi:10.1109/TASLP.2013.2285480.
short: V. Leutnant, A. Krueger, R. Haeb-Umbach, IEEE/ACM Transactions on Audio,
Speech, and Language Processing 22 (2014) 95–109.
date_created: 2019-07-12T05:29:41Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
doi: 10.1109/TASLP.2013.2285480
intvolume: ' 22'
issue: '1'
keyword:
- computational complexity
- reverberation
- speech recognition
- automatic speech recognition
- background noise
- clean speech
- computational complexity
- energy compensation
- logarithmic mel power spectral domain
- mel frequency cepstral coefficients
- microphone input signals
- model-based feature compensation schemes
- noisy reverberant speech automatic recognition
- noisy reverberant speech features
- reverberation
- Atmospheric modeling
- Computational modeling
- Noise
- Noise measurement
- Reverberation
- Speech
- Vectors
- Model-based feature compensation
- observation model for reverberant and noisy speech
- recursive observation model
- robust automatic speech recognition
language:
- iso: eng
page: 95-109
publication: IEEE/ACM Transactions on Audio, Speech, and Language Processing
publication_identifier:
issn:
- 2329-9290
status: public
title: A New Observation Model in the Logarithmic Mel Power Spectral Domain for the
Automatic Recognition of Noisy Reverberant Speech
type: journal_article
user_id: '44006'
volume: 22
year: '2014'
...
---
_id: '11867'
abstract:
- lang: eng
text: 'New waves of consumer-centric applications, such as voice search and voice
interaction with mobile devices and home entertainment systems, increasingly require
automatic speech recognition (ASR) to be robust to the full range of real-world
noise and other acoustic distorting conditions. Despite its practical importance,
however, the inherent links between and distinctions among the myriad of methods
for noise-robust ASR have yet to be carefully studied in order to advance the
field further. To this end, it is critical to establish a solid, consistent, and
common mathematical foundation for noise-robust ASR, which is lacking at present.
This article is intended to fill this gap and to provide a thorough overview of
modern noise-robust techniques for ASR developed over the past 30 years. We emphasize
methods that are proven to be successful and that are likely to sustain or expand
their future applicability. We distill key insights from our comprehensive overview
in this field and take a fresh look at a few old problems, which nevertheless
are still highly relevant today. Specifically, we have analyzed and categorized
a wide range of noise-robust techniques using five different criteria: 1) feature-domain
vs. model-domain processing, 2) the use of prior knowledge about the acoustic
environment distortion, 3) the use of explicit environment-distortion models,
4) deterministic vs. uncertainty processing, and 5) the use of acoustic models
trained jointly with the same feature enhancement or model adaptation process
used in the testing stage. With this taxonomy-oriented review, we equip the reader
with the insight to choose among techniques and with the awareness of the performance-complexity
tradeoffs. The pros and cons of using different noise-robust ASR techniques in
practical application scenarios are provided as a guide to interested practitioners.
The current challenges and future research directions in this field is also carefully
analyzed.'
author:
- first_name: Jinyu
full_name: Li, Jinyu
last_name: Li
- first_name: Li
full_name: Deng, Li
last_name: Deng
- first_name: Yifan
full_name: Gong, Yifan
last_name: Gong
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: Li J, Deng L, Gong Y, Haeb-Umbach R. An Overview of Noise-Robust Automatic
Speech Recognition. IEEE Transactions on Audio, Speech and Language Processing.
2014;22(4):745-777. doi:10.1109/TASLP.2014.2304637
apa: Li, J., Deng, L., Gong, Y., & Haeb-Umbach, R. (2014). An Overview of Noise-Robust
Automatic Speech Recognition. IEEE Transactions on Audio, Speech and Language
Processing, 22(4), 745–777. https://doi.org/10.1109/TASLP.2014.2304637
bibtex: '@article{Li_Deng_Gong_Haeb-Umbach_2014, title={An Overview of Noise-Robust
Automatic Speech Recognition}, volume={22}, DOI={10.1109/TASLP.2014.2304637},
number={4}, journal={IEEE Transactions on Audio, Speech and Language Processing},
author={Li, Jinyu and Deng, Li and Gong, Yifan and Haeb-Umbach, Reinhold}, year={2014},
pages={745–777} }'
chicago: 'Li, Jinyu, Li Deng, Yifan Gong, and Reinhold Haeb-Umbach. “An Overview
of Noise-Robust Automatic Speech Recognition.” IEEE Transactions on Audio,
Speech and Language Processing 22, no. 4 (2014): 745–77. https://doi.org/10.1109/TASLP.2014.2304637.'
ieee: J. Li, L. Deng, Y. Gong, and R. Haeb-Umbach, “An Overview of Noise-Robust
Automatic Speech Recognition,” IEEE Transactions on Audio, Speech and Language
Processing, vol. 22, no. 4, pp. 745–777, 2014.
mla: Li, Jinyu, et al. “An Overview of Noise-Robust Automatic Speech Recognition.”
IEEE Transactions on Audio, Speech and Language Processing, vol. 22, no.
4, 2014, pp. 745–77, doi:10.1109/TASLP.2014.2304637.
short: J. Li, L. Deng, Y. Gong, R. Haeb-Umbach, IEEE Transactions on Audio, Speech
and Language Processing 22 (2014) 745–777.
date_created: 2019-07-12T05:29:47Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
doi: 10.1109/TASLP.2014.2304637
intvolume: ' 22'
issue: '4'
keyword:
- Speech recognition
- compensation
- distortion modeling
- joint model training
- noise
- robustness
- uncertainty processing
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6732927
oa: '1'
page: 745-777
publication: IEEE Transactions on Audio, Speech and Language Processing
status: public
title: An Overview of Noise-Robust Automatic Speech Recognition
type: journal_article
user_id: '44006'
volume: 22
year: '2014'
...
---
_id: '11740'
abstract:
- lang: eng
text: In this contribution we derive the Maximum A-Posteriori (MAP) estimates of
the parameters of a Gaussian Mixture Model (GMM) in the presence of noisy observations.
We assume the distortion to be white Gaussian noise of known mean and variance.
An approximate conjugate prior of the GMM parameters is derived allowing for a
computationally efficient implementation in a sequential estimation framework.
Simulations on artificially generated data demonstrate the superiority of the
proposed method compared to the Maximum Likelihood technique and to the ordinary
MAP approach, whose estimates are corrected by the known statistics of the distortion
in a straightforward manner.
author:
- first_name: Aleksej
full_name: Chinaev, Aleksej
last_name: Chinaev
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Chinaev A, Haeb-Umbach R. MAP-based Estimation of the Parameters of a Gaussian
Mixture Model in the Presence of Noisy Observations. In: 38th International
Conference on Acoustics, Speech and Signal Processing (ICASSP 2013). ; 2013:3352-3356.
doi:10.1109/ICASSP.2013.6638279'
apa: Chinaev, A., & Haeb-Umbach, R. (2013). MAP-based Estimation of the Parameters
of a Gaussian Mixture Model in the Presence of Noisy Observations. In 38th
International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)
(pp. 3352–3356). https://doi.org/10.1109/ICASSP.2013.6638279
bibtex: '@inproceedings{Chinaev_Haeb-Umbach_2013, title={MAP-based Estimation of
the Parameters of a Gaussian Mixture Model in the Presence of Noisy Observations},
DOI={10.1109/ICASSP.2013.6638279},
booktitle={38th International Conference on Acoustics, Speech and Signal Processing
(ICASSP 2013)}, author={Chinaev, Aleksej and Haeb-Umbach, Reinhold}, year={2013},
pages={3352–3356} }'
chicago: Chinaev, Aleksej, and Reinhold Haeb-Umbach. “MAP-Based Estimation of the
Parameters of a Gaussian Mixture Model in the Presence of Noisy Observations.”
In 38th International Conference on Acoustics, Speech and Signal Processing
(ICASSP 2013), 3352–56, 2013. https://doi.org/10.1109/ICASSP.2013.6638279.
ieee: A. Chinaev and R. Haeb-Umbach, “MAP-based Estimation of the Parameters of
a Gaussian Mixture Model in the Presence of Noisy Observations,” in 38th International
Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), 2013,
pp. 3352–3356.
mla: Chinaev, Aleksej, and Reinhold Haeb-Umbach. “MAP-Based Estimation of the Parameters
of a Gaussian Mixture Model in the Presence of Noisy Observations.” 38th International
Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), 2013,
pp. 3352–56, doi:10.1109/ICASSP.2013.6638279.
short: 'A. Chinaev, R. Haeb-Umbach, in: 38th International Conference on Acoustics,
Speech and Signal Processing (ICASSP 2013), 2013, pp. 3352–3356.'
date_created: 2019-07-12T05:27:20Z
date_updated: 2022-01-06T06:51:08Z
department:
- _id: '54'
doi: 10.1109/ICASSP.2013.6638279
keyword:
- Gaussian noise
- maximum likelihood estimation
- parameter estimation
- GMM parameter
- Gaussian mixture model
- MAP estimation
- Map-based estimation
- maximum a-posteriori estimation
- maximum likelihood technique
- noisy observation
- sequential estimation framework
- white Gaussian noise
- Additive noise
- Gaussian mixture model
- Maximum likelihood estimation
- Noise measurement
- Gaussian mixture model
- Maximum a posteriori estimation
- Maximum likelihood estimation
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2013/ChHa13.pdf
oa: '1'
page: 3352-3356
publication: 38th International Conference on Acoustics, Speech and Signal Processing
(ICASSP 2013)
publication_identifier:
issn:
- 1520-6149
related_material:
link:
- description: Poster
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2013/ChHa13_Poster.pdf
status: public
title: MAP-based Estimation of the Parameters of a Gaussian Mixture Model in the Presence
of Noisy Observations
type: conference
user_id: '44006'
year: '2013'
...
---
_id: '11862'
abstract:
- lang: eng
text: In this contribution we extend a previously proposed Bayesian approach for
the enhancement of reverberant logarithmic mel power spectral coefficients for
robust automatic speech recognition to the additional compensation of background
noise. A recently proposed observation model is employed whose time-variant observation
error statistics are obtained as a side product of the inference of the a posteriori
probability density function of the clean speech feature vectors. Further a reduction
of the computational effort and the memory requirements are achieved by using
a recursive formulation of the observation model. The performance of the proposed
algorithms is first experimentally studied on a connected digits recognition task
with artificially created noisy reverberant data. It is shown that the use of
the time-variant observation error model leads to a significant error rate reduction
at low signal-to-noise ratios compared to a time-invariant model. Further experiments
were conducted on a 5000 word task recorded in a reverberant and noisy environment.
A significant word error rate reduction was obtained demonstrating the effectiveness
of the approach on real-world data.
author:
- first_name: Volker
full_name: Leutnant, Volker
last_name: Leutnant
- first_name: Alexander
full_name: Krueger, Alexander
last_name: Krueger
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: Leutnant V, Krueger A, Haeb-Umbach R. Bayesian Feature Enhancement for Reverberation
and Noise Robust Speech Recognition. IEEE Transactions on Audio, Speech, and
Language Processing. 2013;21(8):1640-1652. doi:10.1109/TASL.2013.2258013
apa: Leutnant, V., Krueger, A., & Haeb-Umbach, R. (2013). Bayesian Feature Enhancement
for Reverberation and Noise Robust Speech Recognition. IEEE Transactions on
Audio, Speech, and Language Processing, 21(8), 1640–1652. https://doi.org/10.1109/TASL.2013.2258013
bibtex: '@article{Leutnant_Krueger_Haeb-Umbach_2013, title={Bayesian Feature Enhancement
for Reverberation and Noise Robust Speech Recognition}, volume={21}, DOI={10.1109/TASL.2013.2258013},
number={8}, journal={IEEE Transactions on Audio, Speech, and Language Processing},
author={Leutnant, Volker and Krueger, Alexander and Haeb-Umbach, Reinhold}, year={2013},
pages={1640–1652} }'
chicago: 'Leutnant, Volker, Alexander Krueger, and Reinhold Haeb-Umbach. “Bayesian
Feature Enhancement for Reverberation and Noise Robust Speech Recognition.” IEEE
Transactions on Audio, Speech, and Language Processing 21, no. 8 (2013): 1640–52.
https://doi.org/10.1109/TASL.2013.2258013.'
ieee: V. Leutnant, A. Krueger, and R. Haeb-Umbach, “Bayesian Feature Enhancement
for Reverberation and Noise Robust Speech Recognition,” IEEE Transactions on
Audio, Speech, and Language Processing, vol. 21, no. 8, pp. 1640–1652, 2013.
mla: Leutnant, Volker, et al. “Bayesian Feature Enhancement for Reverberation and
Noise Robust Speech Recognition.” IEEE Transactions on Audio, Speech, and Language
Processing, vol. 21, no. 8, 2013, pp. 1640–52, doi:10.1109/TASL.2013.2258013.
short: V. Leutnant, A. Krueger, R. Haeb-Umbach, IEEE Transactions on Audio, Speech,
and Language Processing 21 (2013) 1640–1652.
date_created: 2019-07-12T05:29:42Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
doi: 10.1109/TASL.2013.2258013
intvolume: ' 21'
issue: '8'
keyword:
- Bayes methods
- compensation
- error statistics
- reverberation
- speech recognition
- Bayesian feature enhancement
- background noise
- clean speech feature vectors
- compensation
- connected digits recognition task
- error statistics
- memory requirements
- noisy reverberant data
- posteriori probability density function
- recursive formulation
- reverberant logarithmic mel power spectral coefficients
- robust automatic speech recognition
- signal-to-noise ratios
- time-variant observation
- word error rate reduction
- Robust automatic speech recognition
- model-based Bayesian feature enhancement
- observation model for reverberant and noisy speech
- recursive observation model
language:
- iso: eng
page: 1640-1652
publication: IEEE Transactions on Audio, Speech, and Language Processing
status: public
title: Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition
type: journal_article
user_id: '44006'
volume: 21
year: '2013'
...
---
_id: '11917'
abstract:
- lang: eng
text: In this paper we present a speech presence probability (SPP) estimation algorithmwhich
exploits both temporal and spectral correlations of speech. To this end, the SPP
estimation is formulated as the posterior probability estimation of the states
of a two-dimensional (2D) Hidden Markov Model (HMM). We derive an iterative algorithm
to decode the 2D-HMM which is based on the turbo principle. The experimental results
show that indeed the SPP estimates improve from iteration to iteration, and further
clearly outperform another state-of-the-art SPP estimation algorithm.
author:
- first_name: Dang Hai Tran
full_name: Vu, Dang Hai Tran
last_name: Vu
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Vu DHT, Haeb-Umbach R. Using the turbo principle for exploiting temporal and
spectral correlations in speech presence probability estimation. In: 38th International
Conference on Acoustics, Speech and Signal Processing (ICASSP 2013). ; 2013:863-867.
doi:10.1109/ICASSP.2013.6637771'
apa: Vu, D. H. T., & Haeb-Umbach, R. (2013). Using the turbo principle for exploiting
temporal and spectral correlations in speech presence probability estimation.
In 38th International Conference on Acoustics, Speech and Signal Processing
(ICASSP 2013) (pp. 863–867). https://doi.org/10.1109/ICASSP.2013.6637771
bibtex: '@inproceedings{Vu_Haeb-Umbach_2013, title={Using the turbo principle for
exploiting temporal and spectral correlations in speech presence probability estimation},
DOI={10.1109/ICASSP.2013.6637771},
booktitle={38th International Conference on Acoustics, Speech and Signal Processing
(ICASSP 2013)}, author={Vu, Dang Hai Tran and Haeb-Umbach, Reinhold}, year={2013},
pages={863–867} }'
chicago: Vu, Dang Hai Tran, and Reinhold Haeb-Umbach. “Using the Turbo Principle
for Exploiting Temporal and Spectral Correlations in Speech Presence Probability
Estimation.” In 38th International Conference on Acoustics, Speech and Signal
Processing (ICASSP 2013), 863–67, 2013. https://doi.org/10.1109/ICASSP.2013.6637771.
ieee: D. H. T. Vu and R. Haeb-Umbach, “Using the turbo principle for exploiting
temporal and spectral correlations in speech presence probability estimation,”
in 38th International Conference on Acoustics, Speech and Signal Processing
(ICASSP 2013), 2013, pp. 863–867.
mla: Vu, Dang Hai Tran, and Reinhold Haeb-Umbach. “Using the Turbo Principle for
Exploiting Temporal and Spectral Correlations in Speech Presence Probability Estimation.”
38th International Conference on Acoustics, Speech and Signal Processing (ICASSP
2013), 2013, pp. 863–67, doi:10.1109/ICASSP.2013.6637771.
short: 'D.H.T. Vu, R. Haeb-Umbach, in: 38th International Conference on Acoustics,
Speech and Signal Processing (ICASSP 2013), 2013, pp. 863–867.'
date_created: 2019-07-12T05:30:45Z
date_updated: 2022-01-06T06:51:12Z
department:
- _id: '54'
doi: 10.1109/ICASSP.2013.6637771
keyword:
- correlation methods
- estimation theory
- hidden Markov models
- iterative methods
- probability
- spectral analysis
- speech processing
- 2D HMM
- SPP estimates
- iterative algorithm
- posterior probability estimation
- spectral correlation
- speech presence probability estimation
- state-of-the-art SPP estimation algorithm
- temporal correlation
- turbo principle
- two-dimensional hidden Markov model
- Correlation
- Decoding
- Estimation
- Iterative decoding
- Noise
- Speech
- Vectors
language:
- iso: eng
page: 863-867
publication: 38th International Conference on Acoustics, Speech and Signal Processing
(ICASSP 2013)
publication_identifier:
issn:
- 1520-6149
status: public
title: Using the turbo principle for exploiting temporal and spectral correlations
in speech presence probability estimation
type: conference
user_id: '44006'
year: '2013'
...
---
_id: '5192'
abstract:
- lang: eng
text: For the valuation of fast growing innovative firms Schwartz and Moon (Financ
Anal J 56:62–75, 2000), (Financ Rev 36:7–26, 2001) develop a fundamental valuation
model where key parameters follow stochastic processes. While prior research shows
promising potential for this model, it has never been tested on a large scale
dataset. Thus, guided by economic theory, this paper is the first to design a
large-scale applicable implementation on around 30,000 technology firm quarter
observations from 1992 to 2009 for the US to assess this model. Evaluating the
feasibility and performance of the Schwartz-Moon model reveals that it is comparably
accurate to the traditional sales multiple with key advantages in valuing small
and non-listed firms. Most importantly, however, the model is able to indicate
severe market over- or undervaluation from a fundamental perspective. We demonstrate
that a trading strategy based on our implementation has significant investment
value. Consequently, the model seems suitable for detecting misvaluations as the
dot-com bubble.
article_type: original
author:
- first_name: Jan
full_name: Klobucnik, Jan
last_name: Klobucnik
- first_name: Sönke
full_name: Sievers, Sönke
id: '46447'
last_name: Sievers
citation:
ama: Klobucnik J, Sievers S. Valuing high technology growth firms. Journal of
Business Economics (VHB-JOURQUAL 4 Ranking B). 2013;83(9):947-984. doi:https://doi.org/10.1007/s11573-013-0684-2
apa: Klobucnik, J., & Sievers, S. (2013). Valuing high technology growth firms.
Journal of Business Economics (VHB-JOURQUAL 4 Ranking B), 83(9),
947–984. https://doi.org/10.1007/s11573-013-0684-2
bibtex: '@article{Klobucnik_Sievers_2013, title={Valuing high technology growth
firms}, volume={83}, DOI={https://doi.org/10.1007/s11573-013-0684-2},
number={9}, journal={Journal of Business Economics (VHB-JOURQUAL 4 Ranking B)},
publisher={Springer}, author={Klobucnik, Jan and Sievers, Sönke}, year={2013},
pages={947–984} }'
chicago: 'Klobucnik, Jan, and Sönke Sievers. “Valuing High Technology Growth Firms.”
Journal of Business Economics (VHB-JOURQUAL 4 Ranking B) 83, no. 9 (2013):
947–84. https://doi.org/10.1007/s11573-013-0684-2.'
ieee: 'J. Klobucnik and S. Sievers, “Valuing high technology growth firms,” Journal
of Business Economics (VHB-JOURQUAL 4 Ranking B), vol. 83, no. 9, pp. 947–984,
2013, doi: https://doi.org/10.1007/s11573-013-0684-2.'
mla: Klobucnik, Jan, and Sönke Sievers. “Valuing High Technology Growth Firms.”
Journal of Business Economics (VHB-JOURQUAL 4 Ranking B), vol. 83, no.
9, Springer, 2013, pp. 947–84, doi:https://doi.org/10.1007/s11573-013-0684-2.
short: J. Klobucnik, S. Sievers, Journal of Business Economics (VHB-JOURQUAL 4 Ranking
B) 83 (2013) 947–984.
date_created: 2018-10-31T11:31:56Z
date_updated: 2026-04-09T08:00:16Z
department:
- _id: '275'
doi: https://doi.org/10.1007/s11573-013-0684-2
extern: '1'
intvolume: ' 83'
issue: '9'
jel:
- G11
- G12
- G17
- G33
keyword:
- Schwartz-Moon model
- Market mispricing
- Empirical test
- Company valuation
- Trading strategy
language:
- iso: eng
main_file_link:
- url: https://link.springer.com/article/10.1007/s11573-013-0684-2
page: 947-984
publication: Journal of Business Economics (VHB-JOURQUAL 4 Ranking B)
publication_status: published
publisher: Springer
quality_controlled: '1'
status: public
title: Valuing high technology growth firms
type: journal_article
user_id: '115848'
volume: 83
year: '2013'
...
---
_id: '5113'
abstract:
- lang: eng
text: 'Standard equity valuation approaches (i.e., DDM, RIM, and DCF model) are
derived under the assumption of ideal conditions, such as infinite payoffs and
clean surplus accounting. Because these conditions are hardly ever met, we extend
the standard approaches, based on the fundamental principle of financial statement
articulation. The extended models are then tested empirically by employing two
sets of forecasts: (1) analyst forecasts provided by Value Line and (2) forecasts
generated by cross-sectional regression models. The main result is that our extended
models yield considerably smaller valuation errors. Moreover, by construction,
identical value estimates are obtained across the extended models. By reestablishing
empirical equivalence under non-ideal conditions, our approach provides a benchmark
that enables us to quantify the errors resulting from individual deviations from
ideal conditions, and thus, to analyze the robustness of the standard approaches.
Finally, by providing a level playing field for the different valuation approaches,
our findings have implications for other empirical settings, for example, estimating
the implied cost of capital. '
article_type: original
author:
- first_name: Nicolas
full_name: Heinrichs, Nicolas
last_name: Heinrichs
- first_name: Dieter
full_name: Hess, Dieter
last_name: Hess
- first_name: Carsten
full_name: Homburg, Carsten
last_name: Homburg
- first_name: Michael
full_name: Lorenz, Michael
last_name: Lorenz
- first_name: Sönke
full_name: Sievers, Sönke
id: '46447'
last_name: Sievers
citation:
ama: 'Heinrichs N, Hess D, Homburg C, Lorenz M, Sievers S. Extended dividend, cash
flow, and residual income valuation models: Accounting for deviations from ideal
conditions. Contemporary Accounting Research (VHB-JOURQUAL 4 Ranking A+).
2013;30(1):42-79. doi:10.2139/ssrn.1145201'
apa: 'Heinrichs, N., Hess, D., Homburg, C., Lorenz, M., & Sievers, S. (2013).
Extended dividend, cash flow, and residual income valuation models: Accounting
for deviations from ideal conditions. Contemporary Accounting Research (VHB-JOURQUAL
4 Ranking A+), 30(1), 42–79. https://doi.org/10.2139/ssrn.1145201'
bibtex: '@article{Heinrichs_Hess_Homburg_Lorenz_Sievers_2013, title={Extended dividend,
cash flow, and residual income valuation models: Accounting for deviations from
ideal conditions}, volume={30}, DOI={10.2139/ssrn.1145201},
number={1}, journal={Contemporary Accounting Research (VHB-JOURQUAL 4 Ranking
A+)}, publisher={Wiley Online Library}, author={Heinrichs, Nicolas and Hess, Dieter
and Homburg, Carsten and Lorenz, Michael and Sievers, Sönke}, year={2013}, pages={42–79}
}'
chicago: 'Heinrichs, Nicolas, Dieter Hess, Carsten Homburg, Michael Lorenz, and
Sönke Sievers. “Extended Dividend, Cash Flow, and Residual Income Valuation Models:
Accounting for Deviations from Ideal Conditions.” Contemporary Accounting Research
(VHB-JOURQUAL 4 Ranking A+) 30, no. 1 (2013): 42–79. https://doi.org/10.2139/ssrn.1145201.'
ieee: 'N. Heinrichs, D. Hess, C. Homburg, M. Lorenz, and S. Sievers, “Extended dividend,
cash flow, and residual income valuation models: Accounting for deviations from
ideal conditions,” Contemporary Accounting Research (VHB-JOURQUAL 4 Ranking
A+), vol. 30, no. 1, pp. 42–79, 2013, doi: 10.2139/ssrn.1145201.'
mla: 'Heinrichs, Nicolas, et al. “Extended Dividend, Cash Flow, and Residual Income
Valuation Models: Accounting for Deviations from Ideal Conditions.” Contemporary
Accounting Research (VHB-JOURQUAL 4 Ranking A+), vol. 30, no. 1, Wiley Online
Library, 2013, pp. 42–79, doi:10.2139/ssrn.1145201.'
short: N. Heinrichs, D. Hess, C. Homburg, M. Lorenz, S. Sievers, Contemporary Accounting
Research (VHB-JOURQUAL 4 Ranking A+) 30 (2013) 42–79.
date_created: 2018-10-31T07:58:17Z
date_updated: 2026-04-09T08:22:32Z
department:
- _id: '275'
doi: 10.2139/ssrn.1145201
extern: '1'
intvolume: ' 30'
issue: '1'
jel:
- G12
- G14
- M41
keyword:
- Dividend Discount Model
- Residual Income
- Discounted Cash Flow
- Dirty Surplus
- Terminal Value
- Valuation Error
language:
- iso: eng
main_file_link:
- url: http://onlinelibrary.wiley.com/doi/10.1111/j.1911-3846.2011.01148.x/abstract
page: 42-79
publication: Contemporary Accounting Research (VHB-JOURQUAL 4 Ranking A+)
publication_status: published
publisher: Wiley Online Library
quality_controlled: '1'
related_material:
link:
- relation: earlier_version
url: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1145201
status: public
title: 'Extended dividend, cash flow, and residual income valuation models: Accounting
for deviations from ideal conditions'
type: journal_article
user_id: '115848'
volume: 30
year: '2013'
...
---
_id: '22737'
author:
- first_name: Matthias
full_name: Becker, Matthias
last_name: Becker
- first_name: Markus
full_name: Luckey, Markus
last_name: Luckey
- first_name: Steffen
full_name: Becker, Steffen
last_name: Becker
citation:
ama: 'Becker M, Luckey M, Becker S. Model-driven Performance Engineering of Self-adaptive
Systems: A Survey. In: {Proceedings of the 8th International ACM SIGSOFT Conference
on Quality of Software Architectures (QoSA)}. New York, NY, USA: ACM; 2012:117-122.
doi:10.1145/2304696.2304716'
apa: 'Becker, M., Luckey, M., & Becker, S. (2012). Model-driven Performance
Engineering of Self-adaptive Systems: A Survey. In {Proceedings of the 8th
International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}
(pp. 117–122). New York, NY, USA: ACM. https://doi.org/10.1145/2304696.2304716'
bibtex: '@inproceedings{Becker_Luckey_Becker_2012, place={New York, NY, USA}, title={Model-driven
Performance Engineering of Self-adaptive Systems: A Survey}, DOI={10.1145/2304696.2304716},
booktitle={{Proceedings of the 8th International ACM SIGSOFT Conference on Quality
of Software Architectures (QoSA)}}, publisher={ACM}, author={Becker, Matthias
and Luckey, Markus and Becker, Steffen}, year={2012}, pages={117–122} }'
chicago: 'Becker, Matthias, Markus Luckey, and Steffen Becker. “Model-Driven Performance
Engineering of Self-Adaptive Systems: A Survey.” In {Proceedings of the 8th
International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)},
117–22. New York, NY, USA: ACM, 2012. https://doi.org/10.1145/2304696.2304716.'
ieee: 'M. Becker, M. Luckey, and S. Becker, “Model-driven Performance Engineering
of Self-adaptive Systems: A Survey,” in {Proceedings of the 8th International
ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}, 2012,
pp. 117–122.'
mla: 'Becker, Matthias, et al. “Model-Driven Performance Engineering of Self-Adaptive
Systems: A Survey.” {Proceedings of the 8th International ACM SIGSOFT Conference
on Quality of Software Architectures (QoSA)}, ACM, 2012, pp. 117–22, doi:10.1145/2304696.2304716.'
short: 'M. Becker, M. Luckey, S. Becker, in: {Proceedings of the 8th International
ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}, ACM, New
York, NY, USA, 2012, pp. 117–122.'
date_created: 2021-07-15T08:38:08Z
date_updated: 2022-01-06T06:55:39Z
doi: 10.1145/2304696.2304716
keyword:
- model-driven performance engineering
- self-*
- Self-adaptation
- software performance
page: 117-122
place: New York, NY, USA
publication: '{Proceedings of the 8th International ACM SIGSOFT Conference on Quality
of Software Architectures (QoSA)}'
publication_identifier:
isbn:
- 978-1-4503-1346-9
publisher: ACM
status: public
title: 'Model-driven Performance Engineering of Self-adaptive Systems: A Survey'
type: conference
user_id: '4870'
year: '2012'
...
---
_id: '9784'
abstract:
- lang: eng
text: Piezoelectric inertia motors use the inertia of a body to drive it by means
of a friction contact in a series of small steps. These motors can operate in
``stick-slip'' or ``slip-slip'' mode, with the fundamental frequency of the driving
signal ranging from several Hertz to more than 100 kHz. To predict the motor characteristics,
a Coulomb friction model is sufficient in many cases, but numerical simulation
requires microscopic time steps. This contribution proposes a much faster simulation
technique using one evaluation per period of the excitation signal. The proposed
technique produces results very close to those of timestep simulation for ultrasonics
inertia motors and allows direct determination of the steady-state velocity of
an inertia motor from the motion profile of the driving part. Thus it is a useful
simulation technique which can be applied in both analysis and design of inertia
motors, especially for parameter studies and optimisation.
author:
- first_name: Matthias
full_name: Hunstig, Matthias
last_name: Hunstig
- first_name: Tobias
full_name: Hemsel, Tobias
last_name: Hemsel
- first_name: Walter
full_name: Sextro, Walter
last_name: Sextro
citation:
ama: 'Hunstig M, Hemsel T, Sextro W. An efficient simulation technique for high-frequency
piezoelectric inertia motors. In: Ultrasonics Symposium (IUS), 2012 IEEE International.
; 2012:277-280. doi:10.1109/ULTSYM.2012.0068'
apa: Hunstig, M., Hemsel, T., & Sextro, W. (2012). An efficient simulation technique
for high-frequency piezoelectric inertia motors. In Ultrasonics Symposium (IUS),
2012 IEEE International (pp. 277–280). https://doi.org/10.1109/ULTSYM.2012.0068
bibtex: '@inproceedings{Hunstig_Hemsel_Sextro_2012, title={An efficient simulation
technique for high-frequency piezoelectric inertia motors}, DOI={10.1109/ULTSYM.2012.0068},
booktitle={Ultrasonics Symposium (IUS), 2012 IEEE International}, author={Hunstig,
Matthias and Hemsel, Tobias and Sextro, Walter}, year={2012}, pages={277–280}
}'
chicago: Hunstig, Matthias, Tobias Hemsel, and Walter Sextro. “An Efficient Simulation
Technique for High-Frequency Piezoelectric Inertia Motors.” In Ultrasonics
Symposium (IUS), 2012 IEEE International, 277–80, 2012. https://doi.org/10.1109/ULTSYM.2012.0068.
ieee: M. Hunstig, T. Hemsel, and W. Sextro, “An efficient simulation technique for
high-frequency piezoelectric inertia motors,” in Ultrasonics Symposium (IUS),
2012 IEEE International, 2012, pp. 277–280.
mla: Hunstig, Matthias, et al. “An Efficient Simulation Technique for High-Frequency
Piezoelectric Inertia Motors.” Ultrasonics Symposium (IUS), 2012 IEEE International,
2012, pp. 277–80, doi:10.1109/ULTSYM.2012.0068.
short: 'M. Hunstig, T. Hemsel, W. Sextro, in: Ultrasonics Symposium (IUS), 2012
IEEE International, 2012, pp. 277–280.'
date_created: 2019-05-13T13:20:17Z
date_updated: 2022-01-06T07:04:20Z
department:
- _id: '151'
doi: 10.1109/ULTSYM.2012.0068
keyword:
- friction
- ultrasonic motors
- Coulomb friction model
- efficient simulation technique
- friction contact
- high-frequency piezoelectric inertia motor
- motor characteristics prediction
- numerical simulation
- slip-slip mode
- stick-slip mode
- time-step simulation
- ultrasonic inertia motor
- Acceleration
- Acoustics
- Actuators
- Computational modeling
- Friction
- Numerical models
- Steady-state
language:
- iso: eng
page: 277-280
publication: Ultrasonics Symposium (IUS), 2012 IEEE International
publication_identifier:
issn:
- 1948-5719
quality_controlled: '1'
status: public
title: An efficient simulation technique for high-frequency piezoelectric inertia
motors
type: conference
user_id: '55222'
year: '2012'
...
---
_id: '11864'
abstract:
- lang: eng
text: In this work, an observation model for the joint compensation of noise and
reverberation in the logarithmic mel power spectral density domain is considered.
It relates the features of the noisy reverberant speech to those of the non-reverberant
speech and the noise. In contrast to enhancement of features only corrupted by
reverberation (reverberant features), enhancement of noisy reverberant features
requires a more sophisticated model for the error introduced by the proposed observation
model. In a first consideration, it will be shown that this error is highly dependent
on the instantaneous ratio of the power of reverberant speech to the power of
the noise and, moreover, sensitive to the phase between reverberant speech and
noise in the short-time discrete Fourier domain. Afterwards, a statistically motivated
approach will be presented allowing for the model of the observation error to
be inferred from the error model previously used for the reverberation only case.
Finally, the developed observation error model will be utilized in a Bayesian
feature enhancement scheme, leading to improvements in word accuracy on the AURORA5
database.
author:
- first_name: Volker
full_name: Leutnant, Volker
last_name: Leutnant
- first_name: Alexander
full_name: Krueger, Alexander
last_name: Krueger
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Leutnant V, Krueger A, Haeb-Umbach R. A Statistical Observation Model For
Noisy Reverberant Speech Features and its Application to Robust ASR. In: Signal
Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference
On. ; 2012.'
apa: Leutnant, V., Krueger, A., & Haeb-Umbach, R. (2012). A Statistical Observation
Model For Noisy Reverberant Speech Features and its Application to Robust ASR.
In Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International
Conference on.
bibtex: '@inproceedings{Leutnant_Krueger_Haeb-Umbach_2012, title={A Statistical
Observation Model For Noisy Reverberant Speech Features and its Application to
Robust ASR}, booktitle={Signal Processing, Communications and Computing (ICSPCC),
2012 IEEE International Conference on}, author={Leutnant, Volker and Krueger,
Alexander and Haeb-Umbach, Reinhold}, year={2012} }'
chicago: Leutnant, Volker, Alexander Krueger, and Reinhold Haeb-Umbach. “A Statistical
Observation Model For Noisy Reverberant Speech Features and Its Application to
Robust ASR.” In Signal Processing, Communications and Computing (ICSPCC), 2012
IEEE International Conference On, 2012.
ieee: V. Leutnant, A. Krueger, and R. Haeb-Umbach, “A Statistical Observation Model
For Noisy Reverberant Speech Features and its Application to Robust ASR,” in Signal
Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference
on, 2012.
mla: Leutnant, Volker, et al. “A Statistical Observation Model For Noisy Reverberant
Speech Features and Its Application to Robust ASR.” Signal Processing, Communications
and Computing (ICSPCC), 2012 IEEE International Conference On, 2012.
short: 'V. Leutnant, A. Krueger, R. Haeb-Umbach, in: Signal Processing, Communications
and Computing (ICSPCC), 2012 IEEE International Conference On, 2012.'
date_created: 2019-07-12T05:29:44Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
keyword:
- Robust Automatic Speech Recognition
- Bayesian feature enhancement
- observation model for reverberant and noisy speech
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6335731
oa: '1'
publication: Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International
Conference on
status: public
title: A Statistical Observation Model For Noisy Reverberant Speech Features and its
Application to Robust ASR
type: conference
user_id: '44006'
year: '2012'
...
---
_id: '28449'
abstract:
- lang: eng
text: This article investigates forms of address, in particular the T/V distinction
in German, in conversational interviews with German-speaking immigrants to English-speaking
Canada and their descendants. From among 77 interviews conducted in two urban
areas in Canada, we discuss instances of both the interactional use of and metalinguistic
comments on forms of address. Our analysis is largely guided by conversation analysis
and interactional sociolinguistics (e.g. Goodwin & Heritage 1990). Using Clyne,
Norrby and Warren’s (2009) model of address as a backdrop, we investigate the
construction of group identity and group socialization through the lens of positioning
theory (e.g. van Langenhove & Harré 1993; Dailey-O’Cain & Liebscher 2009). This
combination of analytical tools can explain shifts in both usage of and attitudes
toward the T/V distinction that cannot be explained through language attrition
arguments alone.
article_type: original
author:
- first_name: Grit
full_name: Liebscher, Grit
last_name: Liebscher
- first_name: Jennifer
full_name: Dailey-O’Cain, Jennifer
last_name: Dailey-O’Cain
- first_name: Mareike
full_name: Müller, Mareike
id: '71540'
last_name: Müller
- first_name: Tetyana
full_name: Reichert, Tetyana
last_name: Reichert
citation:
ama: Liebscher G, Dailey-O’Cain J, Müller M, Reichert T. Negotiating identities
through pronouns of address in an immigrant community. Pragmatics Quarterly
Publication of the International Pragmatics Association (IPrA). 2010;20(3):375-400.
doi:10.1075/prag.20.3.04lie
apa: Liebscher, G., Dailey-O’Cain, J., Müller, M., & Reichert, T. (2010). Negotiating
identities through pronouns of address in an immigrant community. Pragmatics.
Quarterly Publication of the International Pragmatics Association (IPrA),
20(3), 375–400. https://doi.org/10.1075/prag.20.3.04lie
bibtex: '@article{Liebscher_Dailey-O’Cain_Müller_Reichert_2010, title={Negotiating
identities through pronouns of address in an immigrant community}, volume={20},
DOI={10.1075/prag.20.3.04lie},
number={3}, journal={Pragmatics. Quarterly Publication of the International Pragmatics
Association (IPrA)}, author={Liebscher, Grit and Dailey-O’Cain, Jennifer and Müller,
Mareike and Reichert, Tetyana}, year={2010}, pages={375–400} }'
chicago: 'Liebscher, Grit, Jennifer Dailey-O’Cain, Mareike Müller, and Tetyana Reichert.
“Negotiating Identities through Pronouns of Address in an Immigrant Community.”
Pragmatics. Quarterly Publication of the International Pragmatics Association
(IPrA) 20, no. 3 (2010): 375–400. https://doi.org/10.1075/prag.20.3.04lie.'
ieee: 'G. Liebscher, J. Dailey-O’Cain, M. Müller, and T. Reichert, “Negotiating
identities through pronouns of address in an immigrant community,” Pragmatics.
Quarterly Publication of the International Pragmatics Association (IPrA),
vol. 20, no. 3, pp. 375–400, 2010, doi: 10.1075/prag.20.3.04lie.'
mla: Liebscher, Grit, et al. “Negotiating Identities through Pronouns of Address
in an Immigrant Community.” Pragmatics. Quarterly Publication of the International
Pragmatics Association (IPrA), vol. 20, no. 3, 2010, pp. 375–400, doi:10.1075/prag.20.3.04lie.
short: G. Liebscher, J. Dailey-O’Cain, M. Müller, T. Reichert, Pragmatics. Quarterly
Publication of the International Pragmatics Association (IPrA) 20 (2010) 375–400.
date_created: 2021-12-08T14:38:18Z
date_updated: 2022-01-06T06:58:05Z
department:
- _id: '468'
doi: 10.1075/prag.20.3.04lie
extern: '1'
intvolume: ' 20'
issue: '3'
keyword:
- Forms of address
- T/V distinction
- Du vs. Sie
- Conversation analysis
- Language attitudes
- Interviews
- German in Canada
- Migration studies
- North American migration
language:
- iso: eng
page: 375-400
publication: Pragmatics. Quarterly Publication of the International Pragmatics Association
(IPrA)
publication_identifier:
issn:
- 1018-2101
- 2406-4238
publication_status: published
status: public
title: Negotiating identities through pronouns of address in an immigrant community
type: journal_article
user_id: '71540'
volume: 20
year: '2010'
...
---
_id: '11846'
abstract:
- lang: eng
text: In this paper, we present a new technique for automatic speech recognition
(ASR) in reverberant environments. Our approach is aimed at the enhancement of
the logarithmic Mel power spectrum, which is computed at an intermediate stage
to obtain the widely used Mel frequency cepstral coefficients (MFCCs). Given the
reverberant logarithmic Mel power spectral coefficients (LMPSCs), a minimum mean
square error estimate of the clean LMPSCs is computed by carrying out Bayesian
inference. We employ switching linear dynamical models as an a priori model for
the dynamics of the clean LMPSCs. Further, we derive a stochastic observation
model which relates the clean to the reverberant LMPSCs through a simplified model
of the room impulse response (RIR). This model requires only two parameters, namely
RIR energy and reverberation time, which can be estimated from the captured microphone
signal. The performance of the proposed enhancement technique is studied on the
AURORA5 database and compared to that of constrained maximum-likelihood linear
regression (CMLLR). It is shown by experimental results that our approach significantly
outperforms CMLLR and that up to 80\% of the errors caused by the reverberation
are recovered. In addition to the fact that the approach is compatible with the
standard MFCC feature vectors, it leaves the ASR back-end unchanged. It is of
moderate computational complexity and suitable for real time applications.
author:
- first_name: Alexander
full_name: Krueger, Alexander
last_name: Krueger
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: Krueger A, Haeb-Umbach R. Model-Based Feature Enhancement for Reverberant Speech
Recognition. IEEE Transactions on Audio, Speech, and Language Processing.
2010;18(7):1692-1707. doi:10.1109/TASL.2010.2049684
apa: Krueger, A., & Haeb-Umbach, R. (2010). Model-Based Feature Enhancement
for Reverberant Speech Recognition. IEEE Transactions on Audio, Speech, and
Language Processing, 18(7), 1692–1707. https://doi.org/10.1109/TASL.2010.2049684
bibtex: '@article{Krueger_Haeb-Umbach_2010, title={Model-Based Feature Enhancement
for Reverberant Speech Recognition}, volume={18}, DOI={10.1109/TASL.2010.2049684},
number={7}, journal={IEEE Transactions on Audio, Speech, and Language Processing},
author={Krueger, Alexander and Haeb-Umbach, Reinhold}, year={2010}, pages={1692–1707}
}'
chicago: 'Krueger, Alexander, and Reinhold Haeb-Umbach. “Model-Based Feature Enhancement
for Reverberant Speech Recognition.” IEEE Transactions on Audio, Speech, and
Language Processing 18, no. 7 (2010): 1692–1707. https://doi.org/10.1109/TASL.2010.2049684.'
ieee: A. Krueger and R. Haeb-Umbach, “Model-Based Feature Enhancement for Reverberant
Speech Recognition,” IEEE Transactions on Audio, Speech, and Language Processing,
vol. 18, no. 7, pp. 1692–1707, 2010.
mla: Krueger, Alexander, and Reinhold Haeb-Umbach. “Model-Based Feature Enhancement
for Reverberant Speech Recognition.” IEEE Transactions on Audio, Speech, and
Language Processing, vol. 18, no. 7, 2010, pp. 1692–707, doi:10.1109/TASL.2010.2049684.
short: A. Krueger, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language
Processing 18 (2010) 1692–1707.
date_created: 2019-07-12T05:29:23Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
doi: 10.1109/TASL.2010.2049684
intvolume: ' 18'
issue: '7'
keyword:
- ASR
- AURORA5 database
- automatic speech recognition
- Bayesian inference
- belief networks
- CMLLR
- computational complexity
- constrained maximum likelihood linear regression
- least mean squares methods
- LMPSC computation
- logarithmic Mel power spectrum
- maximum likelihood estimation
- Mel frequency cepstral coefficients
- MFCC feature vectors
- microphone signal
- minimum mean square error estimation
- model-based feature enhancement
- regression analysis
- reverberant speech recognition
- reverberation
- RIR energy
- room impulse response
- speech recognition
- stochastic observation model
- stochastic processes
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2010/KrHa10.pdf
oa: '1'
page: 1692-1707
publication: IEEE Transactions on Audio, Speech, and Language Processing
status: public
title: Model-Based Feature Enhancement for Reverberant Speech Recognition
type: journal_article
user_id: '44006'
volume: 18
year: '2010'
...