---
_id: '63053'
author:
- first_name: Carlos
full_name: Hernández, Carlos
last_name: Hernández
- first_name: Angel E.
full_name: Rodriguez-Fernandez, Angel E.
last_name: Rodriguez-Fernandez
- first_name: Lennart
full_name: Schäpermeier, Lennart
last_name: Schäpermeier
- first_name: Oliver
full_name: Cuate, Oliver
last_name: Cuate
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: Oliver
full_name: Schütze, Oliver
last_name: Schütze
citation:
ama: Hernández C, Rodriguez-Fernandez AE, Schäpermeier L, Cuate O, Trautmann H,
Schütze O. An Evolutionary Approach for the Computation of ∈-Locally Optimal Solutions
for Multi-Objective Multimodal Optimization. IEEE Transactions on Evolutionary
Computation. Published online 2025:1-1. doi:10.1109/TEVC.2025.3637276
apa: Hernández, C., Rodriguez-Fernandez, A. E., Schäpermeier, L., Cuate, O., Trautmann,
H., & Schütze, O. (2025). An Evolutionary Approach for the Computation of
∈-Locally Optimal Solutions for Multi-Objective Multimodal Optimization. IEEE
Transactions on Evolutionary Computation, 1–1. https://doi.org/10.1109/TEVC.2025.3637276
bibtex: '@article{Hernández_Rodriguez-Fernandez_Schäpermeier_Cuate_Trautmann_Schütze_2025,
title={An Evolutionary Approach for the Computation of ∈-Locally Optimal Solutions
for Multi-Objective Multimodal Optimization}, DOI={10.1109/TEVC.2025.3637276},
journal={IEEE Transactions on Evolutionary Computation}, author={Hernández, Carlos
and Rodriguez-Fernandez, Angel E. and Schäpermeier, Lennart and Cuate, Oliver
and Trautmann, Heike and Schütze, Oliver}, year={2025}, pages={1–1} }'
chicago: Hernández, Carlos, Angel E. Rodriguez-Fernandez, Lennart Schäpermeier,
Oliver Cuate, Heike Trautmann, and Oliver Schütze. “An Evolutionary Approach for
the Computation of ∈-Locally Optimal Solutions for Multi-Objective Multimodal
Optimization.” IEEE Transactions on Evolutionary Computation, 2025, 1–1.
https://doi.org/10.1109/TEVC.2025.3637276.
ieee: 'C. Hernández, A. E. Rodriguez-Fernandez, L. Schäpermeier, O. Cuate, H. Trautmann,
and O. Schütze, “An Evolutionary Approach for the Computation of ∈-Locally Optimal
Solutions for Multi-Objective Multimodal Optimization,” IEEE Transactions on
Evolutionary Computation, pp. 1–1, 2025, doi: 10.1109/TEVC.2025.3637276.'
mla: Hernández, Carlos, et al. “An Evolutionary Approach for the Computation of
∈-Locally Optimal Solutions for Multi-Objective Multimodal Optimization.” IEEE
Transactions on Evolutionary Computation, 2025, pp. 1–1, doi:10.1109/TEVC.2025.3637276.
short: C. Hernández, A.E. Rodriguez-Fernandez, L. Schäpermeier, O. Cuate, H. Trautmann,
O. Schütze, IEEE Transactions on Evolutionary Computation (2025) 1–1.
date_created: 2025-12-12T06:13:06Z
date_updated: 2025-12-12T06:13:51Z
department:
- _id: '819'
doi: 10.1109/TEVC.2025.3637276
keyword:
- Optimization
- Evolutionary computation
- Hands
- Proposals
- Convergence
- Computational efficiency
- Artificial intelligence
- Accuracy
- Approximation algorithms
- Aerospace electronics
- Multi-objective optimization
- evolutionary algorithms
- nearly optimal solutions
- multimodal optimization
- archiving
- continuation
language:
- iso: eng
page: 1-1
publication: IEEE Transactions on Evolutionary Computation
status: public
title: An Evolutionary Approach for the Computation of ∈-Locally Optimal Solutions
for Multi-Objective Multimodal Optimization
type: journal_article
user_id: '15504'
year: '2025'
...
---
_id: '63498'
author:
- first_name: Wilhelm
full_name: Kirchgässner, Wilhelm
last_name: Kirchgässner
- first_name: Nikolas
full_name: Förster, Nikolas
last_name: Förster
- first_name: Till
full_name: Piepenbrock, Till
last_name: Piepenbrock
- first_name: Oliver
full_name: Schweins, Oliver
last_name: Schweins
- first_name: Oliver
full_name: Wallscheid, Oliver
last_name: Wallscheid
citation:
ama: 'Kirchgässner W, Förster N, Piepenbrock T, Schweins O, Wallscheid O. HARDCORE:
H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated
Convolutional Neural Networks in Ferrite Cores. IEEE Transactions on Power
Electronics. 2025;40(2):3326-3335. doi:10.1109/TPEL.2024.3488174'
apa: 'Kirchgässner, W., Förster, N., Piepenbrock, T., Schweins, O., & Wallscheid,
O. (2025). HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms
With Residual, Dilated Convolutional Neural Networks in Ferrite Cores. IEEE
Transactions on Power Electronics, 40(2), 3326–3335. https://doi.org/10.1109/TPEL.2024.3488174'
bibtex: '@article{Kirchgässner_Förster_Piepenbrock_Schweins_Wallscheid_2025, title={HARDCORE:
H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated
Convolutional Neural Networks in Ferrite Cores}, volume={40}, DOI={10.1109/TPEL.2024.3488174},
number={2}, journal={IEEE Transactions on Power Electronics}, author={Kirchgässner,
Wilhelm and Förster, Nikolas and Piepenbrock, Till and Schweins, Oliver and Wallscheid,
Oliver}, year={2025}, pages={3326–3335} }'
chicago: 'Kirchgässner, Wilhelm, Nikolas Förster, Till Piepenbrock, Oliver Schweins,
and Oliver Wallscheid. “HARDCORE: H-Field and Power Loss Estimation for Arbitrary
Waveforms With Residual, Dilated Convolutional Neural Networks in Ferrite Cores.”
IEEE Transactions on Power Electronics 40, no. 2 (2025): 3326–35. https://doi.org/10.1109/TPEL.2024.3488174.'
ieee: 'W. Kirchgässner, N. Förster, T. Piepenbrock, O. Schweins, and O. Wallscheid,
“HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual,
Dilated Convolutional Neural Networks in Ferrite Cores,” IEEE Transactions
on Power Electronics, vol. 40, no. 2, pp. 3326–3335, 2025, doi: 10.1109/TPEL.2024.3488174.'
mla: 'Kirchgässner, Wilhelm, et al. “HARDCORE: H-Field and Power Loss Estimation
for Arbitrary Waveforms With Residual, Dilated Convolutional Neural Networks in
Ferrite Cores.” IEEE Transactions on Power Electronics, vol. 40, no. 2,
2025, pp. 3326–35, doi:10.1109/TPEL.2024.3488174.'
short: W. Kirchgässner, N. Förster, T. Piepenbrock, O. Schweins, O. Wallscheid,
IEEE Transactions on Power Electronics 40 (2025) 3326–3335.
date_created: 2026-01-06T08:07:13Z
date_updated: 2026-01-06T08:08:01Z
department:
- _id: '52'
doi: 10.1109/TPEL.2024.3488174
intvolume: ' 40'
issue: '2'
keyword:
- Mathematical models
- Estimation
- Data models
- Convolutional neural networks
- Accuracy
- Magnetic hysteresis
- Magnetic cores
- Temperature measurement
- Magnetic domains
- Temperature distribution
- Convolutional neural network (CNN)
- machine learning (ML)
- magnetics
page: 3326-3335
publication: IEEE Transactions on Power Electronics
status: public
title: 'HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual,
Dilated Convolutional Neural Networks in Ferrite Cores'
type: journal_article
user_id: '83383'
volume: 40
year: '2025'
...
---
_id: '35620'
abstract:
- lang: eng
text: Deep learning models fuel many modern decision support systems, because they
typically provide high predictive performance. Among other domains, deep learning
is used in real-estate appraisal, where it allows to extend the analysis from
hard facts only (e.g., size, age) to also consider more implicit information about
the location or appearance of houses in the form of image data. However, one downside
of deep learning models is their intransparent mechanic of decision making, which
leads to a trade-off between accuracy and interpretability. This limits their
applicability for tasks where a justification of the decision is necessary. Therefore,
in this paper, we first combine different perspectives on interpretability into
a multi-dimensional framework for a socio-technical perspective on explainable
artificial intelligence. Second, we measure the performance gains of using multi-view
deep learning which leverages additional image data (satellite images) for real
estate appraisal. Third, we propose and test a novel post-hoc explainability method
called Grad-Ram. This modified version of Grad-Cam mitigates the intransparency
of convolutional neural networks (CNNs) for predicting continuous outcome variables.
With this, we try to reduce the accuracy-interpretability trade-off of multi-view
deep learning models. Our proposed network architecture outperforms traditional
hedonic regression models by 34% in terms of MAE. Furthermore, we find that the
used satellite images are the second most important predictor after square feet
in our model and that the network learns interpretable patterns about the neighborhood
structure and density.
article_type: original
author:
- first_name: Jan-Peter
full_name: Kucklick, Jan-Peter
id: '77066'
last_name: Kucklick
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
citation:
ama: 'Kucklick J-P, Müller O. Tackling the Accuracy–Interpretability Trade-off:
Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal.
ACM Transactions on Management Information Systems. Published online 2022.
doi:10.1145/3567430'
apa: 'Kucklick, J.-P., & Müller, O. (2022). Tackling the Accuracy–Interpretability
Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate
Appraisal. ACM Transactions on Management Information Systems. https://doi.org/10.1145/3567430'
bibtex: '@article{Kucklick_Müller_2022, title={Tackling the Accuracy–Interpretability
Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate
Appraisal}, DOI={10.1145/3567430},
journal={ACM Transactions on Management Information Systems}, publisher={Association
for Computing Machinery (ACM)}, author={Kucklick, Jan-Peter and Müller, Oliver},
year={2022} }'
chicago: 'Kucklick, Jan-Peter, and Oliver Müller. “Tackling the Accuracy–Interpretability
Trade-off: Interpretable Deep Learning Models for Satellite Image-Based Real Estate
Appraisal.” ACM Transactions on Management Information Systems, 2022. https://doi.org/10.1145/3567430.'
ieee: 'J.-P. Kucklick and O. Müller, “Tackling the Accuracy–Interpretability Trade-off:
Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal,”
ACM Transactions on Management Information Systems, 2022, doi: 10.1145/3567430.'
mla: 'Kucklick, Jan-Peter, and Oliver Müller. “Tackling the Accuracy–Interpretability
Trade-off: Interpretable Deep Learning Models for Satellite Image-Based Real Estate
Appraisal.” ACM Transactions on Management Information Systems, Association
for Computing Machinery (ACM), 2022, doi:10.1145/3567430.'
short: J.-P. Kucklick, O. Müller, ACM Transactions on Management Information Systems
(2022).
date_created: 2023-01-10T05:16:02Z
date_updated: 2023-01-10T05:20:18Z
department:
- _id: '195'
- _id: '196'
doi: 10.1145/3567430
keyword:
- Interpretability
- Convolutional Neural Network
- Accuracy-Interpretability Trade-Of
- Real Estate Appraisal
- Hedonic Pricing
- Grad-Ram
language:
- iso: eng
main_file_link:
- url: https://dl.acm.org/doi/pdf/10.1145/3567430
publication: ACM Transactions on Management Information Systems
publication_identifier:
issn:
- 2158-656X
- 2158-6578
publication_status: published
publisher: Association for Computing Machinery (ACM)
status: public
title: 'Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning
Models for Satellite Image-based Real Estate Appraisal'
type: journal_article
user_id: '77066'
year: '2022'
...
---
_id: '32560'
abstract:
- lang: eng
text: "Several methods are available to answer questions regarding similarity and
accuracy,\r\neach of which has specific properties and limitations. This study
focuses on the\r\nLatent Congruence Model (LCM; Cheung, 2009), because of its
capacity to deal\r\nwith cross-informant measurement invariance issues. Until
now, no cross-national\r\napplications of LCM are present in the literature, perhaps
because of the difficulty\r\nto deal with both cross-national and cross-informant
measurement issues implied by\r\nthose models. This study presents a step-by-step
procedure to apply LCM to dyadic\r\ncross-national research designs controlling
for both cross-national and cross-informant\r\nmeasurement invariance. An illustrative
example on parent–child support exchanges in\r\nItaly and Germany is provided.
Findings help to show the different possible scenarios\r\nof partial invariance,
and a discussion related to how to deal with those scenarios is\r\nprovided. Future
perspectives in the study of parent–child similarity and accuracy in\r\ncross-national
research will be discussed."
article_number: '672383'
author:
- first_name: Semira
full_name: Tagliabue, Semira
last_name: Tagliabue
- first_name: Michela
full_name: Zambelli, Michela
last_name: Zambelli
- first_name: Angela
full_name: Sorgente, Angela
last_name: Sorgente
- first_name: Sabrina
full_name: Sommer, Sabrina
last_name: Sommer
- first_name: Christian
full_name: Hoellger, Christian
last_name: Hoellger
- first_name: Heike M.
full_name: Buhl, Heike M.
id: '27152'
last_name: Buhl
- first_name: Margherita
full_name: Lanz, Margherita
last_name: Lanz
citation:
ama: 'Tagliabue S, Zambelli M, Sorgente A, et al. Latent Congruence Model to Investigate
Similarity and Accuracy in Family Members’ Perception: The Challenge of Cross-National
and Cross-Informant Measurement (Non)Invariance. Frontiers in Psychology.
2021;12. doi:10.3389/fpsyg.2021.672383'
apa: 'Tagliabue, S., Zambelli, M., Sorgente, A., Sommer, S., Hoellger, C., Buhl,
H. M., & Lanz, M. (2021). Latent Congruence Model to Investigate Similarity
and Accuracy in Family Members’ Perception: The Challenge of Cross-National and
Cross-Informant Measurement (Non)Invariance. Frontiers in Psychology, 12,
Article 672383. https://doi.org/10.3389/fpsyg.2021.672383'
bibtex: '@article{Tagliabue_Zambelli_Sorgente_Sommer_Hoellger_Buhl_Lanz_2021, title={Latent
Congruence Model to Investigate Similarity and Accuracy in Family Members’ Perception:
The Challenge of Cross-National and Cross-Informant Measurement (Non)Invariance},
volume={12}, DOI={10.3389/fpsyg.2021.672383},
number={672383}, journal={Frontiers in Psychology}, publisher={Frontiers Media
SA}, author={Tagliabue, Semira and Zambelli, Michela and Sorgente, Angela and
Sommer, Sabrina and Hoellger, Christian and Buhl, Heike M. and Lanz, Margherita},
year={2021} }'
chicago: 'Tagliabue, Semira, Michela Zambelli, Angela Sorgente, Sabrina Sommer,
Christian Hoellger, Heike M. Buhl, and Margherita Lanz. “Latent Congruence Model
to Investigate Similarity and Accuracy in Family Members’ Perception: The Challenge
of Cross-National and Cross-Informant Measurement (Non)Invariance.” Frontiers
in Psychology 12 (2021). https://doi.org/10.3389/fpsyg.2021.672383.'
ieee: 'S. Tagliabue et al., “Latent Congruence Model to Investigate Similarity
and Accuracy in Family Members’ Perception: The Challenge of Cross-National and
Cross-Informant Measurement (Non)Invariance,” Frontiers in Psychology,
vol. 12, Art. no. 672383, 2021, doi: 10.3389/fpsyg.2021.672383.'
mla: 'Tagliabue, Semira, et al. “Latent Congruence Model to Investigate Similarity
and Accuracy in Family Members’ Perception: The Challenge of Cross-National and
Cross-Informant Measurement (Non)Invariance.” Frontiers in Psychology,
vol. 12, 672383, Frontiers Media SA, 2021, doi:10.3389/fpsyg.2021.672383.'
short: S. Tagliabue, M. Zambelli, A. Sorgente, S. Sommer, C. Hoellger, H.M. Buhl,
M. Lanz, Frontiers in Psychology 12 (2021).
date_created: 2022-08-03T05:59:20Z
date_updated: 2022-08-29T06:38:34Z
department:
- _id: '427'
doi: 10.3389/fpsyg.2021.672383
intvolume: ' 12'
keyword:
- latent congruence model
- measurement invariance
- similarity
- accuracy
- cross-national
- cross-informant
- parent-child relationship
- support exchanges
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.frontiersin.org/articles/10.3389/fpsyg.2021.672383/pdf
oa: '1'
publication: Frontiers in Psychology
publication_identifier:
issn:
- 1664-1078
publication_status: published
publisher: Frontiers Media SA
status: public
title: 'Latent Congruence Model to Investigate Similarity and Accuracy in Family Members''
Perception: The Challenge of Cross-National and Cross-Informant Measurement (Non)Invariance'
type: journal_article
user_id: '42165'
volume: 12
year: '2021'
...
---
_id: '3585'
abstract:
- lang: eng
text: Existing approaches and tools for the generation of approximate circuits often
lack generality and are restricted to certain circuit types, approximation techniques,
and quality assurance methods. Moreover, only few tools are publicly available.
This hinders the development and evaluation of new techniques for approximating
circuits and their comparison to previous approaches. In this paper, we first analyze
and classify related approaches and then present CIRCA, our flexible framework
for search-based approximate circuit generation. CIRCA is developed with a focus
on modularity and extensibility. We present the architecture of CIRCA with its
clear separation into stages and functional blocks, report on the current prototype,
and show initial experiments.
author:
- first_name: Linus Matthias
full_name: Witschen, Linus Matthias
id: '49051'
last_name: Witschen
- first_name: Tobias
full_name: Wiersema, Tobias
id: '3118'
last_name: Wiersema
- first_name: Hassan
full_name: Ghasemzadeh Mohammadi, Hassan
id: '61186'
last_name: Ghasemzadeh Mohammadi
- first_name: Muhammad
full_name: Awais, Muhammad
id: '64665'
last_name: Awais
orcid: https://orcid.org/0000-0003-4148-2969
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
citation:
ama: 'Witschen LM, Wiersema T, Ghasemzadeh Mohammadi H, Awais M, Platzner M. CIRCA:
Towards a Modular and Extensible Framework for Approximate Circuit Generation.
Microelectronics Reliability. 2019;99:277-290. doi:10.1016/j.microrel.2019.04.003'
apa: 'Witschen, L. M., Wiersema, T., Ghasemzadeh Mohammadi, H., Awais, M., &
Platzner, M. (2019). CIRCA: Towards a Modular and Extensible Framework for Approximate
Circuit Generation. Microelectronics Reliability, 99, 277–290. https://doi.org/10.1016/j.microrel.2019.04.003'
bibtex: '@article{Witschen_Wiersema_Ghasemzadeh Mohammadi_Awais_Platzner_2019, title={CIRCA:
Towards a Modular and Extensible Framework for Approximate Circuit Generation},
volume={99}, DOI={10.1016/j.microrel.2019.04.003},
journal={Microelectronics Reliability}, publisher={Elsevier}, author={Witschen,
Linus Matthias and Wiersema, Tobias and Ghasemzadeh Mohammadi, Hassan and Awais,
Muhammad and Platzner, Marco}, year={2019}, pages={277–290} }'
chicago: 'Witschen, Linus Matthias, Tobias Wiersema, Hassan Ghasemzadeh Mohammadi,
Muhammad Awais, and Marco Platzner. “CIRCA: Towards a Modular and Extensible Framework
for Approximate Circuit Generation.” Microelectronics Reliability 99 (2019):
277–90. https://doi.org/10.1016/j.microrel.2019.04.003.'
ieee: 'L. M. Witschen, T. Wiersema, H. Ghasemzadeh Mohammadi, M. Awais, and M. Platzner,
“CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation,”
Microelectronics Reliability, vol. 99, pp. 277–290, 2019.'
mla: 'Witschen, Linus Matthias, et al. “CIRCA: Towards a Modular and Extensible
Framework for Approximate Circuit Generation.” Microelectronics Reliability,
vol. 99, Elsevier, 2019, pp. 277–90, doi:10.1016/j.microrel.2019.04.003.'
short: L.M. Witschen, T. Wiersema, H. Ghasemzadeh Mohammadi, M. Awais, M. Platzner,
Microelectronics Reliability 99 (2019) 277–290.
date_created: 2018-07-20T14:08:49Z
date_updated: 2022-01-06T06:59:25Z
department:
- _id: '78'
doi: 10.1016/j.microrel.2019.04.003
intvolume: ' 99'
keyword:
- Approximate Computing
- Framework
- Pareto Front
- Accuracy
language:
- iso: eng
page: 277-290
project:
- _id: '12'
name: SFB 901 - Subproject B4
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Microelectronics Reliability
publication_identifier:
issn:
- 0026-2714
publication_status: published
publisher: Elsevier
status: public
title: 'CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit
Generation'
type: journal_article
user_id: '49051'
volume: 99
year: '2019'
...
---
_id: '3586'
abstract:
- lang: eng
text: Existing approaches and tools for the generation of approximate circuits often
lack generality and are restricted to certain circuit types, approximation techniques,
and quality assurance methods. Moreover, only few tools are publicly available.
This hinders the development and evaluation of new techniques for approximating
circuits and their comparison to previous approaches. In this paper, we first analyze
and classify related approaches and then present CIRCA, our flexible framework
for search-based approximate circuit generation. CIRCA is developed with a focus
on modularity and extensibility. We present the architecture of CIRCA with its
clear separation into stages and functional blocks, report on the current prototype,
and show initial experiments.
author:
- first_name: Linus Matthias
full_name: Witschen, Linus Matthias
id: '49051'
last_name: Witschen
- first_name: Tobias
full_name: Wiersema, Tobias
id: '3118'
last_name: Wiersema
- first_name: Hassan
full_name: Ghasemzadeh Mohammadi, Hassan
id: '61186'
last_name: Ghasemzadeh Mohammadi
- first_name: Muhammad
full_name: Awais, Muhammad
id: '64665'
last_name: Awais
orcid: https://orcid.org/0000-0003-4148-2969
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
citation:
ama: 'Witschen LM, Wiersema T, Ghasemzadeh Mohammadi H, Awais M, Platzner M. CIRCA:
Towards a Modular and Extensible Framework for Approximate Circuit Generation.
Third Workshop on Approximate Computing (AxC 2018).'
apa: 'Witschen, L. M., Wiersema, T., Ghasemzadeh Mohammadi, H., Awais, M., &
Platzner, M. (n.d.). CIRCA: Towards a Modular and Extensible Framework for Approximate
Circuit Generation. Third Workshop on Approximate Computing (AxC 2018).'
bibtex: '@article{Witschen_Wiersema_Ghasemzadeh Mohammadi_Awais_Platzner, title={CIRCA:
Towards a Modular and Extensible Framework for Approximate Circuit Generation},
journal={Third Workshop on Approximate Computing (AxC 2018)}, author={Witschen,
Linus Matthias and Wiersema, Tobias and Ghasemzadeh Mohammadi, Hassan and Awais,
Muhammad and Platzner, Marco} }'
chicago: 'Witschen, Linus Matthias, Tobias Wiersema, Hassan Ghasemzadeh Mohammadi,
Muhammad Awais, and Marco Platzner. “CIRCA: Towards a Modular and Extensible Framework
for Approximate Circuit Generation.” Third Workshop on Approximate Computing
(AxC 2018), n.d.'
ieee: 'L. M. Witschen, T. Wiersema, H. Ghasemzadeh Mohammadi, M. Awais, and M. Platzner,
“CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation,”
Third Workshop on Approximate Computing (AxC 2018). .'
mla: 'Witschen, Linus Matthias, et al. “CIRCA: Towards a Modular and Extensible
Framework for Approximate Circuit Generation.” Third Workshop on Approximate
Computing (AxC 2018).'
short: L.M. Witschen, T. Wiersema, H. Ghasemzadeh Mohammadi, M. Awais, M. Platzner,
Third Workshop on Approximate Computing (AxC 2018) (n.d.).
date_created: 2018-07-20T14:10:46Z
date_updated: 2022-01-06T06:59:26Z
ddc:
- '000'
department:
- _id: '78'
file:
- access_level: closed
content_type: application/pdf
creator: tobias82
date_created: 2018-07-20T14:13:31Z
date_updated: 2018-07-20T14:13:31Z
file_id: '3587'
file_name: WitschenWMAP2018.pdf
file_size: 285348
relation: main_file
success: 1
file_date_updated: 2018-07-20T14:13:31Z
has_accepted_license: '1'
keyword:
- Approximate Computing
- Framework
- Pareto Front
- Accuracy
language:
- iso: eng
page: '6'
project:
- _id: '12'
name: SFB 901 - Subproject B4
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Third Workshop on Approximate Computing (AxC 2018)
publication_status: accepted
status: public
title: 'CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit
Generation'
type: preprint
user_id: '49051'
year: '2018'
...
---
_id: '10598'
abstract:
- lang: eng
text: "Approximate computing has become a very popular design\r\nstrategy that exploits
error resilient computations to achieve higher\r\nperformance and energy efficiency.
Automated synthesis of approximate\r\ncircuits is performed via functional approximation,
in which various\r\nparts of the target circuit are extensively examined with
a library\r\nof approximate components/transformations to trade off the functional\r\naccuracy
and computational budget (i.e., power). However, as the number\r\nof possible
approximate transformations increases, traditional search\r\ntechniques suffer
from a combinatorial explosion due to the large\r\nbranching factor. In this work,
we present a comprehensive framework\r\nfor automated synthesis of approximate
circuits from either structural\r\nor behavioral descriptions. We adapt the Monte
Carlo Tree Search\r\n(MCTS), as a stochastic search technique, to deal with the
large design\r\nspace exploration, which enables a broader range of potential
possible\r\napproximations through lightweight random simulations. The proposed\r\nframework
is able to recognize the design Pareto set even with low\r\ncomputational budgets.
Experimental results highlight the capabilities of\r\nthe proposed synthesis framework
by resulting in up to 61.69% energy\r\nsaving while maintaining the predefined
quality constraints."
author:
- first_name: Muhammad
full_name: Awais, Muhammad
id: '64665'
last_name: Awais
orcid: https://orcid.org/0000-0003-4148-2969
- first_name: Hassan
full_name: Ghasemzadeh Mohammadi, Hassan
id: '61186'
last_name: Ghasemzadeh Mohammadi
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
citation:
ama: 'Awais M, Ghasemzadeh Mohammadi H, Platzner M. An MCTS-based Framework for
Synthesis of Approximate Circuits. In: 26th IFIP/IEEE International Conference
on Very Large Scale Integration (VLSI-SoC). ; 2018:219-224. doi:10.1109/VLSI-SoC.2018.8645026'
apa: Awais, M., Ghasemzadeh Mohammadi, H., & Platzner, M. (2018). An MCTS-based
Framework for Synthesis of Approximate Circuits. In 26th IFIP/IEEE International
Conference on Very Large Scale Integration (VLSI-SoC) (pp. 219–224). https://doi.org/10.1109/VLSI-SoC.2018.8645026
bibtex: '@inproceedings{Awais_Ghasemzadeh Mohammadi_Platzner_2018, title={An MCTS-based
Framework for Synthesis of Approximate Circuits}, DOI={10.1109/VLSI-SoC.2018.8645026},
booktitle={26th IFIP/IEEE International Conference on Very Large Scale Integration
(VLSI-SoC)}, author={Awais, Muhammad and Ghasemzadeh Mohammadi, Hassan and Platzner,
Marco}, year={2018}, pages={219–224} }'
chicago: Awais, Muhammad, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “An
MCTS-Based Framework for Synthesis of Approximate Circuits.” In 26th IFIP/IEEE
International Conference on Very Large Scale Integration (VLSI-SoC), 219–24,
2018. https://doi.org/10.1109/VLSI-SoC.2018.8645026.
ieee: M. Awais, H. Ghasemzadeh Mohammadi, and M. Platzner, “An MCTS-based Framework
for Synthesis of Approximate Circuits,” in 26th IFIP/IEEE International Conference
on Very Large Scale Integration (VLSI-SoC), 2018, pp. 219–224.
mla: Awais, Muhammad, et al. “An MCTS-Based Framework for Synthesis of Approximate
Circuits.” 26th IFIP/IEEE International Conference on Very Large Scale Integration
(VLSI-SoC), 2018, pp. 219–24, doi:10.1109/VLSI-SoC.2018.8645026.
short: 'M. Awais, H. Ghasemzadeh Mohammadi, M. Platzner, in: 26th IFIP/IEEE International
Conference on Very Large Scale Integration (VLSI-SoC), 2018, pp. 219–224.'
date_created: 2019-07-10T09:21:38Z
date_updated: 2022-01-06T06:50:46Z
department:
- _id: '78'
doi: 10.1109/VLSI-SoC.2018.8645026
keyword:
- Approximate computing
- High-level synthesis
- Accuracy
- Monte-Carlo tree search
- Circuit simulation
language:
- iso: eng
page: 219-224
publication: 26th IFIP/IEEE International Conference on Very Large Scale Integration
(VLSI-SoC)
status: public
title: An MCTS-based Framework for Synthesis of Approximate Circuits
type: conference
user_id: '64665'
year: '2018'
...
---
_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: '37040'
abstract:
- lang: eng
text: Refinement of untimed TLM models into a timed HW/SW platform is a step by
step design process which is a trade-off between timing accuracy of the used models
and correct estimation of the final timing performance. The use of an RTOS on
the target platform is mandatory in the case real-time properties must be guaranteed.
Thus, the question is when the RTOS must be introduced in this step by step refinement
process. This paper proposes a four-level RTOS-aware refinement methodology that,
starting from an untimed TLM SystemC description of the whole system, progressively
introduce HW/SW partitioning, timing, device driver and RTOS functionalities,
till to obtain an accurate model of the final platform, where SW tasks run upon
an RTOS hosted by QEMU and HW components are modeled by cycle accurate TLM descriptions.
Each refinement level allows the designer to estimate more and more accurate timing
properties, thus anticipating design decisions without being constrained to leave
timing analysis to the final step of the refinement. The effectiveness of the
methodology has been evaluated in the design of two complex platforms.
author:
- first_name: Markus
full_name: Becker, Markus
last_name: Becker
- first_name: Giuseppe
full_name: Di Guglielmo, Giuseppe
last_name: Di Guglielmo
- first_name: Franco
full_name: Fummi, Franco
last_name: Fummi
- first_name: Wolfgang
full_name: Müller, Wolfgang
id: '16243'
last_name: Müller
- first_name: Graziano
full_name: Pravadelli, Graziano
last_name: Pravadelli
- first_name: Tao
full_name: Xie, Tao
last_name: Xie
citation:
ama: 'Becker M, Di Guglielmo G, Fummi F, Müller W, Pravadelli G, Xie T. RTOS-Aware
Refinement for TLM2.0-based HW/SW Design. In: Proceedings of DATE’10. IEEE;
2010. doi:10.1109/DATE.2010.5456965'
apa: Becker, M., Di Guglielmo, G., Fummi, F., Müller, W., Pravadelli, G., &
Xie, T. (2010). RTOS-Aware Refinement for TLM2.0-based HW/SW Design. Proceedings
of DATE’10. Design, Automation & Test in Europe Conference & Exhibition
(DATE 2010), Dresden. https://doi.org/10.1109/DATE.2010.5456965
bibtex: '@inproceedings{Becker_Di Guglielmo_Fummi_Müller_Pravadelli_Xie_2010, place={Dresden},
title={RTOS-Aware Refinement for TLM2.0-based HW/SW Design}, DOI={10.1109/DATE.2010.5456965},
booktitle={Proceedings of DATE’10}, publisher={IEEE}, author={Becker, Markus and
Di Guglielmo, Giuseppe and Fummi, Franco and Müller, Wolfgang and Pravadelli,
Graziano and Xie, Tao}, year={2010} }'
chicago: 'Becker, Markus, Giuseppe Di Guglielmo, Franco Fummi, Wolfgang Müller,
Graziano Pravadelli, and Tao Xie. “RTOS-Aware Refinement for TLM2.0-Based HW/SW
Design.” In Proceedings of DATE’10. Dresden: IEEE, 2010. https://doi.org/10.1109/DATE.2010.5456965.'
ieee: 'M. Becker, G. Di Guglielmo, F. Fummi, W. Müller, G. Pravadelli, and T. Xie,
“RTOS-Aware Refinement for TLM2.0-based HW/SW Design,” presented at the Design,
Automation & Test in Europe Conference & Exhibition (DATE 2010), Dresden,
2010, doi: 10.1109/DATE.2010.5456965.'
mla: Becker, Markus, et al. “RTOS-Aware Refinement for TLM2.0-Based HW/SW Design.”
Proceedings of DATE’10, IEEE, 2010, doi:10.1109/DATE.2010.5456965.
short: 'M. Becker, G. Di Guglielmo, F. Fummi, W. Müller, G. Pravadelli, T. Xie,
in: Proceedings of DATE’10, IEEE, Dresden, 2010.'
conference:
location: Dresden
name: Design, Automation & Test in Europe Conference & Exhibition (DATE 2010)
date_created: 2023-01-17T10:47:29Z
date_updated: 2023-01-17T10:47:37Z
department:
- _id: '672'
doi: 10.1109/DATE.2010.5456965
keyword:
- Timing
- Hardware
- Operating systems
- Process design
- Accuracy
- Standards development
- Context modeling
- Real time systems
- Communication channels
- Microprogramming
language:
- iso: eng
place: Dresden
publication: Proceedings of DATE’10
publication_identifier:
eisbn:
- 978-3-9810801-6-2
publisher: IEEE
status: public
title: RTOS-Aware Refinement for TLM2.0-based HW/SW Design
type: conference
user_id: '5786'
year: '2010'
...
---
_id: '37039'
abstract:
- lang: eng
text: Refinement of untimed TLM models into a timed HW/SW platform is a step by
step design process which is a trade-off between timing accuracy of the used models
and correct estimation of the final timing performance. The use of an RTOS on
the target platform is mandatory in the case real-time properties must be guaranteed.
Thus, the question is when the RTOS must be introduced in this step by step refinement
process. This paper proposes a four-level RTOS-aware refinement methodology that,
starting from an untimed TLM SystemC description of the whole system, progressively
introduce HW/SW partitioning, timing, device driver and RTOS functionalities,
till to obtain an accurate model of the final platform, where SW tasks run upon
an RTOS hosted by QEMU and HW components are modeled by cycle accurate TLM descriptions.
Each refinement level allows the designer to estimate more and more accurate timing
properties, thus anticipating design decisions without being constrained to leave
timing analysis to the final step of the refinement. The effectiveness of the
methodology has been evaluated in the design of two complex platforms.
author:
- first_name: Markus
full_name: Becker, Markus
last_name: Becker
- first_name: Giuseppe
full_name: Di Guglielmo, Giuseppe
last_name: Di Guglielmo
- first_name: Franco
full_name: Fummi, Franco
last_name: Fummi
- first_name: Wolfgang
full_name: Müller, Wolfgang
id: '16243'
last_name: Müller
- first_name: Graziano
full_name: Pravadelli, Graziano
last_name: Pravadelli
- first_name: Tao
full_name: Xie, Tao
last_name: Xie
citation:
ama: 'Becker M, Di Guglielmo G, Fummi F, Müller W, Pravadelli G, Xie T. RTOS-Aware
Refinement for TLM2.0-based HW/SW Design. In: Proceedings of DATE’10. IEEE;
2010. doi:10.1109/DATE.2010.5456965'
apa: Becker, M., Di Guglielmo, G., Fummi, F., Müller, W., Pravadelli, G., &
Xie, T. (2010). RTOS-Aware Refinement for TLM2.0-based HW/SW Design. Proceedings
of DATE’10. Design, Automation & Test in Europe Conference & Exhibition
(DATE 2010), Dresden. https://doi.org/10.1109/DATE.2010.5456965
bibtex: '@inproceedings{Becker_Di Guglielmo_Fummi_Müller_Pravadelli_Xie_2010, place={Dresden},
title={RTOS-Aware Refinement for TLM2.0-based HW/SW Design}, DOI={10.1109/DATE.2010.5456965},
booktitle={Proceedings of DATE’10}, publisher={IEEE}, author={Becker, Markus and
Di Guglielmo, Giuseppe and Fummi, Franco and Müller, Wolfgang and Pravadelli,
Graziano and Xie, Tao}, year={2010} }'
chicago: 'Becker, Markus, Giuseppe Di Guglielmo, Franco Fummi, Wolfgang Müller,
Graziano Pravadelli, and Tao Xie. “RTOS-Aware Refinement for TLM2.0-Based HW/SW
Design.” In Proceedings of DATE’10. Dresden: IEEE, 2010. https://doi.org/10.1109/DATE.2010.5456965.'
ieee: 'M. Becker, G. Di Guglielmo, F. Fummi, W. Müller, G. Pravadelli, and T. Xie,
“RTOS-Aware Refinement for TLM2.0-based HW/SW Design,” presented at the Design,
Automation & Test in Europe Conference & Exhibition (DATE 2010), Dresden,
2010, doi: 10.1109/DATE.2010.5456965.'
mla: Becker, Markus, et al. “RTOS-Aware Refinement for TLM2.0-Based HW/SW Design.”
Proceedings of DATE’10, IEEE, 2010, doi:10.1109/DATE.2010.5456965.
short: 'M. Becker, G. Di Guglielmo, F. Fummi, W. Müller, G. Pravadelli, T. Xie,
in: Proceedings of DATE’10, IEEE, Dresden, 2010.'
conference:
location: Dresden
name: Design, Automation & Test in Europe Conference & Exhibition (DATE 2010)
date_created: 2023-01-17T10:44:46Z
date_updated: 2025-03-12T16:39:17Z
doi: 10.1109/DATE.2010.5456965
keyword:
- Timing
- Hardware
- Operating systems
- Process design
- Accuracy
- Standards development
- Context modeling
- Real time systems
- Communication channels
- Microprogramming
language:
- iso: eng
place: Dresden
publication: Proceedings of DATE’10
publication_identifier:
eisbn:
- 978-3-9810801-6-2
publisher: IEEE
status: public
title: RTOS-Aware Refinement for TLM2.0-based HW/SW Design
type: conference
user_id: '5786'
year: '2010'
...
---
_id: '11870'
abstract:
- lang: eng
text: We derive a class of computationally inexpensive linear dimension reduction
criteria by introducing a weighted variant of the well-known K-class Fisher criterion
associated with linear discriminant analysis (LDA). It can be seen that LDA weights
contributions of individual class pairs according to the Euclidean distance of
the respective class means. We generalize upon LDA by introducing a different
weighting function
author:
- first_name: M.
full_name: Loog, M.
last_name: Loog
- first_name: R.P.W.
full_name: Duin, R.P.W.
last_name: Duin
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: Loog M, Duin RPW, Haeb-Umbach R. Multiclass linear dimension reduction by weighted
pairwise Fisher criteria. IEEE Transactions on Pattern Analysis and Machine
Intelligence. 2001;23(7):762-766. doi:10.1109/34.935849
apa: Loog, M., Duin, R. P. W., & Haeb-Umbach, R. (2001). Multiclass linear dimension
reduction by weighted pairwise Fisher criteria. IEEE Transactions on Pattern
Analysis and Machine Intelligence, 23(7), 762–766. https://doi.org/10.1109/34.935849
bibtex: '@article{Loog_Duin_Haeb-Umbach_2001, title={Multiclass linear dimension
reduction by weighted pairwise Fisher criteria}, volume={23}, DOI={10.1109/34.935849},
number={7}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
author={Loog, M. and Duin, R.P.W. and Haeb-Umbach, Reinhold}, year={2001}, pages={762–766}
}'
chicago: 'Loog, M., R.P.W. Duin, and Reinhold Haeb-Umbach. “Multiclass Linear Dimension
Reduction by Weighted Pairwise Fisher Criteria.” IEEE Transactions on Pattern
Analysis and Machine Intelligence 23, no. 7 (2001): 762–66. https://doi.org/10.1109/34.935849.'
ieee: M. Loog, R. P. W. Duin, and R. Haeb-Umbach, “Multiclass linear dimension reduction
by weighted pairwise Fisher criteria,” IEEE Transactions on Pattern Analysis
and Machine Intelligence, vol. 23, no. 7, pp. 762–766, 2001.
mla: Loog, M., et al. “Multiclass Linear Dimension Reduction by Weighted Pairwise
Fisher Criteria.” IEEE Transactions on Pattern Analysis and Machine Intelligence,
vol. 23, no. 7, 2001, pp. 762–66, doi:10.1109/34.935849.
short: M. Loog, R.P.W. Duin, R. Haeb-Umbach, IEEE Transactions on Pattern Analysis
and Machine Intelligence 23 (2001) 762–766.
date_created: 2019-07-12T05:29:51Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
doi: 10.1109/34.935849
intvolume: ' 23'
issue: '7'
keyword:
- approximate pairwise accuracy
- Bayes error
- Bayes methods
- error statistics
- Euclidean distance
- Fisher criterion
- linear dimension reduction
- linear discriminant analysis
- pattern classification
- statistical analysis
- statistical pattern classification
- weighting function
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2001/LoDuHa01.pdf
oa: '1'
page: 762-766
publication: IEEE Transactions on Pattern Analysis and Machine Intelligence
status: public
title: Multiclass linear dimension reduction by weighted pairwise Fisher criteria
type: journal_article
user_id: '44006'
volume: 23
year: '2001'
...
---
_id: '11869'
abstract:
- lang: eng
text: Amongst several data driven approaches for designing filters for the time
sequence of spectral parameters, the linear discriminant analysis (LDA) based
method has been proposed for automatic speech recognition. Here we apply LDA-based
filter design to cepstral features, which better match the inherent assumption
of this method that feature vector components are uncorrelated. Extensive recognition
experiments have been conducted both on the standard TIMIT phone recognition task
and on a proprietary 130-words command word task under various adverse environmental
conditions, including reverberant data with real-life room impulse responses and
data processed by acoustic echo cancellation algorithms. Significant error rate
reductions have been achieved when applying the novel long-range feature filters
compared to standard approaches employing cepstral mean normalization and delta
and delta-delta features, in particular when facing acoustic echo cancellation
scenarios and room reverberation. For example, the phone accuracy on reverberated
TIMIT data could be increased from 50.7\% to 56.0\%
author:
- first_name: M.
full_name: Lieb, M.
last_name: Lieb
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Lieb M, Haeb-Umbach R. LDA derived cepstral trajectory filters in adverse
environmental conditions. In: IEEE International Conference on Acoustics, Speech,
and Signal Processing (ICASSP 2000). Vol 2. ; 2000:II1105-II1108 vol.2. doi:10.1109/ICASSP.2000.859157'
apa: Lieb, M., & Haeb-Umbach, R. (2000). LDA derived cepstral trajectory filters
in adverse environmental conditions. In IEEE International Conference on Acoustics,
Speech, and Signal Processing (ICASSP 2000) (Vol. 2, pp. II1105-II1108 vol.2).
https://doi.org/10.1109/ICASSP.2000.859157
bibtex: '@inproceedings{Lieb_Haeb-Umbach_2000, title={LDA derived cepstral trajectory
filters in adverse environmental conditions}, volume={2}, DOI={10.1109/ICASSP.2000.859157},
booktitle={IEEE International Conference on Acoustics, Speech, and Signal Processing
(ICASSP 2000)}, author={Lieb, M. and Haeb-Umbach, Reinhold}, year={2000}, pages={II1105-II1108
vol.2} }'
chicago: Lieb, M., and Reinhold Haeb-Umbach. “LDA Derived Cepstral Trajectory Filters
in Adverse Environmental Conditions.” In IEEE International Conference on Acoustics,
Speech, and Signal Processing (ICASSP 2000), 2:II1105-II1108 vol.2, 2000.
https://doi.org/10.1109/ICASSP.2000.859157.
ieee: M. Lieb and R. Haeb-Umbach, “LDA derived cepstral trajectory filters in adverse
environmental conditions,” in IEEE International Conference on Acoustics, Speech,
and Signal Processing (ICASSP 2000), 2000, vol. 2, pp. II1105-II1108 vol.2.
mla: Lieb, M., and Reinhold Haeb-Umbach. “LDA Derived Cepstral Trajectory Filters
in Adverse Environmental Conditions.” IEEE International Conference on Acoustics,
Speech, and Signal Processing (ICASSP 2000), vol. 2, 2000, pp. II1105-II1108
vol.2, doi:10.1109/ICASSP.2000.859157.
short: 'M. Lieb, R. Haeb-Umbach, in: IEEE International Conference on Acoustics,
Speech, and Signal Processing (ICASSP 2000), 2000, pp. II1105-II1108 vol.2.'
date_created: 2019-07-12T05:29:50Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
doi: 10.1109/ICASSP.2000.859157
intvolume: ' 2'
keyword:
- acoustic echo cancellation algorithms
- adverse environmental conditions
- automatic speech recognition
- cepstral analysis
- cepstral features
- cepstral mean normalization
- command word task
- delta-delta features
- delta features
- echo suppression
- error rate reductions
- feature vector components
- FIR filters
- LDA derived cepstral trajectory filters
- linear discriminant analysis
- long-range feature filters
- phone accuracy
- real-life room impulse responses
- reverberant data
- spectral parameters
- speech recognition
- standard TIMIT phone recognition task
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2000/LiHa00.pdf
oa: '1'
page: II1105-II1108 vol.2
publication: IEEE International Conference on Acoustics, Speech, and Signal Processing
(ICASSP 2000)
status: public
title: LDA derived cepstral trajectory filters in adverse environmental conditions
type: conference
user_id: '44006'
volume: 2
year: '2000'
...