---
_id: '30670'
author:
- first_name: M.
full_name: Ott, M.
last_name: Ott
citation:
ama: Ott M. Identifikation und Kompensation produktionsbedingter Abweichungen
im elektrischen Antrieb von Elektro- und Hybridfahrzeugen.; 2019. doi:10.17619/UNIPB/1-700
apa: Ott, M. (2019). Identifikation und Kompensation produktionsbedingter Abweichungen
im elektrischen Antrieb von Elektro- und Hybridfahrzeugen. https://doi.org/10.17619/UNIPB/1-700
bibtex: '@book{Ott_2019, title={Identifikation und Kompensation produktionsbedingter
Abweichungen im elektrischen Antrieb von Elektro- und Hybridfahrzeugen}, DOI={10.17619/UNIPB/1-700}, author={Ott,
M.}, year={2019} }'
chicago: Ott, M. Identifikation und Kompensation produktionsbedingter Abweichungen
im elektrischen Antrieb von Elektro- und Hybridfahrzeugen, 2019. https://doi.org/10.17619/UNIPB/1-700.
ieee: M. Ott, Identifikation und Kompensation produktionsbedingter Abweichungen
im elektrischen Antrieb von Elektro- und Hybridfahrzeugen. 2019.
mla: Ott, M. Identifikation und Kompensation produktionsbedingter Abweichungen
im elektrischen Antrieb von Elektro- und Hybridfahrzeugen. 2019, doi:10.17619/UNIPB/1-700.
short: M. Ott, Identifikation und Kompensation produktionsbedingter Abweichungen
im elektrischen Antrieb von Elektro- und Hybridfahrzeugen, 2019.
date_created: 2022-03-29T06:23:44Z
date_updated: 2022-03-29T11:32:41Z
department:
- _id: '52'
doi: 10.17619/UNIPB/1-700
language:
- iso: ger
status: public
title: Identifikation und Kompensation produktionsbedingter Abweichungen im elektrischen
Antrieb von Elektro- und Hybridfahrzeugen
type: dissertation
user_id: '66'
year: '2019'
...
---
_id: '30854'
author:
- first_name: Sven
full_name: Bolte, Sven
last_name: Bolte
citation:
ama: Bolte S. Modellierung und Optimierung leistungselektronischer Konverter
mit Halbleitern großer Bandlücke unter Verwendung kalorimetrischer Messverfahren.;
2019. doi:10.17619/UNIPB/1-752
apa: Bolte, S. (2019). Modellierung und Optimierung leistungselektronischer Konverter
mit Halbleitern großer Bandlücke unter Verwendung kalorimetrischer Messverfahren.
https://doi.org/10.17619/UNIPB/1-752
bibtex: '@book{Bolte_2019, title={Modellierung und Optimierung leistungselektronischer
Konverter mit Halbleitern großer Bandlücke unter Verwendung kalorimetrischer Messverfahren},
DOI={10.17619/UNIPB/1-752},
author={Bolte, Sven}, year={2019} }'
chicago: Bolte, Sven. Modellierung und Optimierung leistungselektronischer Konverter
mit Halbleitern großer Bandlücke unter Verwendung kalorimetrischer Messverfahren,
2019. https://doi.org/10.17619/UNIPB/1-752.
ieee: S. Bolte, Modellierung und Optimierung leistungselektronischer Konverter
mit Halbleitern großer Bandlücke unter Verwendung kalorimetrischer Messverfahren.
2019.
mla: Bolte, Sven. Modellierung und Optimierung leistungselektronischer Konverter
mit Halbleitern großer Bandlücke unter Verwendung kalorimetrischer Messverfahren.
2019, doi:10.17619/UNIPB/1-752.
short: S. Bolte, Modellierung und Optimierung leistungselektronischer Konverter
mit Halbleitern großer Bandlücke unter Verwendung kalorimetrischer Messverfahren,
2019.
date_created: 2022-04-07T11:29:17Z
date_updated: 2022-04-25T12:27:19Z
department:
- _id: '52'
doi: 10.17619/UNIPB/1-752
language:
- iso: ger
status: public
title: Modellierung und Optimierung leistungselektronischer Konverter mit Halbleitern
großer Bandlücke unter Verwendung kalorimetrischer Messverfahren
type: dissertation
user_id: '71353'
year: '2019'
...
---
_id: '29903'
abstract:
- lang: ger
text: "Hochgeschwindigkeitsantriebe kommen unter anderem in Vakuumpumpen, Turboradialverdichtern
und Zentrifugen zum Einsatz und zeichnen sich typischerweise durch einen Betrieb
mit konstanter Drehzahl über längere Zeiträume aus. Das in dieser Arbeit betrachtete
Antriebssystem setzt sich aus einer permanentmagneterregten Synchronmaschine mit
magnetgelagertem Rotor, einem LC-Filter, einem Wechselrichter in 2- oder 3-Stufen-Topologie,
diverser Sensorik sowie einem Antriebsregler zusammen.\r\n\r\nIn der vorliegenden
Arbeit wurden Pulsmusterformen auf viertel- und halbschwingungssymmetrischer Basis
ausgewählt und nach relevanten Kriterien wie die Eliminierung niederfrequenter
Harmonischer oder die Minimierung des Oberschwingungsgehalts offline-optimiert.
Hierzu wurde eine modifizierte Variante der Partikel-Schwarm-Optimierung verwendet.
Ziel war die Substitution der trägerbasierten Dreiecksmodulation durch eine geeignete
Modulatorstruktur zur Generierung und Ausgabe offline-optimierter Pulsmuster an
den Wechselrichter. Im Verlauf der Arbeit wurde zudem herausgestellt, dass die
herkömmliche feldorientierte Reglerstruktur nicht mit den optimierten Pulsmustern
kombiniert werden kann, was auf die fehlende Pulssymmetrie und die abweichenden
Kurzzeitmittelwerte der Schaltsignale von der Stellspannung im aktuellen Reglertakt
zurückzuführen ist. Daher wurde eine modellbasierte Reglerstruktur, die zum Teil
steuernden Charakter aufweist, entworfen und implementiert.\r\n\r\nDurchgeführte
Messungen an einem Laststand mit einer Bemessungsleistung von 150 kW ergaben im
maximal zulässigen Arbeitspunkt gegenüber der dreiecksmodulierten Pulsweitenmodulation
eine Steigerung des Gesamtwirkungsgrads von bis zu 0,6% bei Verwendung eines 2-Punkt-Wechselrichters
mit ausgangsseitigem LC-Filter. "
author:
- first_name: Klaus
full_name: Peter, Klaus
last_name: Peter
citation:
ama: Peter K. Untersuchung des Verlustverhaltens eines geregelten und mit optimierten
Pulsmustern gespeisten Hochgeschwindigkeits-Antriebssystems. Vol 9. Shaker
Verlag; 2019.
apa: Peter, K. (2019). Untersuchung des Verlustverhaltens eines geregelten und
mit optimierten Pulsmustern gespeisten Hochgeschwindigkeits-Antriebssystems
(Vol. 9). Shaker Verlag.
bibtex: '@book{Peter_2019, place={Paderborn}, title={Untersuchung des Verlustverhaltens
eines geregelten und mit optimierten Pulsmustern gespeisten Hochgeschwindigkeits-Antriebssystems},
volume={9}, publisher={Shaker Verlag}, author={Peter, Klaus}, year={2019} }'
chicago: 'Peter, Klaus. Untersuchung des Verlustverhaltens eines geregelten und
mit optimierten Pulsmustern gespeisten Hochgeschwindigkeits-Antriebssystems.
Vol. 9. Paderborn: Shaker Verlag, 2019.'
ieee: 'K. Peter, Untersuchung des Verlustverhaltens eines geregelten und mit
optimierten Pulsmustern gespeisten Hochgeschwindigkeits-Antriebssystems, vol.
9. Paderborn: Shaker Verlag, 2019.'
mla: Peter, Klaus. Untersuchung des Verlustverhaltens eines geregelten und mit
optimierten Pulsmustern gespeisten Hochgeschwindigkeits-Antriebssystems. Shaker
Verlag, 2019.
short: K. Peter, Untersuchung des Verlustverhaltens eines geregelten und mit optimierten
Pulsmustern gespeisten Hochgeschwindigkeits-Antriebssystems, Shaker Verlag, Paderborn,
2019.
date_created: 2022-02-21T08:45:44Z
date_updated: 2022-04-26T07:29:43Z
department:
- _id: '34'
- _id: '52'
language:
- iso: ger
main_file_link:
- url: http://www.shaker.eu/en/content/catalogue/index.asp?lang=en&ID=8&ISBN=978-3-8440-7097-2&search=yes
place: Paderborn
publication_identifier:
isbn:
- "\t978-3-8440-7097-2"
publication_status: published
publisher: Shaker Verlag
status: public
title: Untersuchung des Verlustverhaltens eines geregelten und mit optimierten Pulsmustern
gespeisten Hochgeschwindigkeits-Antriebssystems
type: dissertation
user_id: '71353'
volume: "\t9"
year: '2019'
...
---
_id: '30855'
author:
- first_name: Thorsten
full_name: Pape, Thorsten
last_name: Pape
citation:
ama: Pape T. Ein Beitrag zur Regelung von Permanentmagnet-Synchronmotoren in
Statorflusskoordinaten ohne Rotorlagesensor.; 2019.
apa: Pape, T. (2019). Ein Beitrag zur Regelung von Permanentmagnet-Synchronmotoren
in Statorflusskoordinaten ohne Rotorlagesensor.
bibtex: '@book{Pape_2019, title={Ein Beitrag zur Regelung von Permanentmagnet-Synchronmotoren
in Statorflusskoordinaten ohne Rotorlagesensor}, author={Pape, Thorsten}, year={2019}
}'
chicago: Pape, Thorsten. Ein Beitrag zur Regelung von Permanentmagnet-Synchronmotoren
in Statorflusskoordinaten ohne Rotorlagesensor, 2019.
ieee: T. Pape, Ein Beitrag zur Regelung von Permanentmagnet-Synchronmotoren in
Statorflusskoordinaten ohne Rotorlagesensor. 2019.
mla: Pape, Thorsten. Ein Beitrag zur Regelung von Permanentmagnet-Synchronmotoren
in Statorflusskoordinaten ohne Rotorlagesensor. 2019.
short: T. Pape, Ein Beitrag zur Regelung von Permanentmagnet-Synchronmotoren in
Statorflusskoordinaten ohne Rotorlagesensor, 2019.
date_created: 2022-04-07T11:29:53Z
date_updated: 2022-04-26T08:57:31Z
department:
- _id: '52'
language:
- iso: ger
main_file_link:
- url: https://www.deutsche-digitale-bibliothek.de/item/6D25AWHRGBBUFGQUWWZGGGMVYV44KJPX
publication_identifier:
isbn:
- '978-3-8440-6952-5 '
status: public
title: Ein Beitrag zur Regelung von Permanentmagnet-Synchronmotoren in Statorflusskoordinaten
ohne Rotorlagesensor
type: dissertation
user_id: '71353'
year: '2019'
...
---
_id: '7720'
abstract:
- lang: ger
text: 'Die Erfindung betrifft einen optischen Übergang zwischen zwei optischen Schichtwellenleitern.
Dazu ist eine Anordnung vorgesehen aus einem ersten optischen Schichtwellenleiter
(2) und einem zweiten optischen Schichtwellenleiter (3), wobei der erste optische
Schichtwellenleiter (2) und der zweite optische Schichtwellenleiter (3) voneinander
verschiedene über ihre jeweilige Länge konstante Dicken (d, r) aufweisen, der
erste optische Schichtwellenleiter (2) mit dem zweiten optischen Schichtwellenleiter
(3) mittels einer optischen Schichtwellenleiterstruktur (4) verbunden ist, die
über ihre gesamte Länge (w) eine Dicke (h) aufweist, die zwischen der Dicke (d)
des ersten optischen Schichtwellenleiters (2) und der Dicke (r) des zweiten optischen
Schichtwellenleiters (3) liegt. Erfindungsgemäß ist die Dicke (h) der optischen
Schichtwellenleiterstruktur (4) über die gesamte Länge (w) der optischen Schichtwellenleiterstruktur
(4) konstant. Damit wird eine Möglichkeit für einen effizienten und mit geringen
Verlusten behafteten Übergang zwischen zwei optischen Schichtwellenleitern mit
unterschiedlicher Dicke bereitgestellt. '
- lang: eng
text: The invention relates to an optical junction between two optical planar waveguides.
For this purpose, an arrangement is provided of a first optical layer waveguide
(2) and a second optical slab waveguide (3), wherein the first optical layer waveguide
(2) and the second optical slab waveguide (3) different from each other is constant
over their respective length of thicknesses (d, r ) which the first optical layer
waveguide (2) with the second optical film waveguide (3) (by means of an optical
layer waveguide structure 4) is connected, which (along their entire length w)
has a thickness (h) which is between the thickness (d) the first optical waveguide
layer (2) and the thickness (r) of the second optical waveguide layer (3). According
to the invention, the thickness (h) of the optical layer waveguide structure (4)
over the entire length (w) of the optical layer waveguide structure (4) constant.
Thus, a possibility for an efficient and entailing low loss transition between
two optical planar waveguides is provided with different thickness.
application_date: 2018-04-05
application_number: '102018108110'
author:
- first_name: Manfred
full_name: Hammer, Manfred
id: '48077'
last_name: Hammer
orcid: 0000-0002-6331-9348
- first_name: Jens
full_name: Förstner, Jens
id: '158'
last_name: Förstner
orcid: 0000-0001-7059-9862
- first_name: Lena
full_name: Ebers, Lena
id: '40428'
last_name: Ebers
citation:
ama: Hammer M, Förstner J, Ebers L. Optical transition between two optical waveguides
layer and method for transmitting light. Published online 2019.
apa: Hammer, M., Förstner, J., & Ebers, L. (2019). Optical transition between
two optical waveguides layer and method for transmitting light.
bibtex: '@article{Hammer_Förstner_Ebers_2019, title={Optical transition between
two optical waveguides layer and method for transmitting light}, author={Hammer,
Manfred and Förstner, Jens and Ebers, Lena}, year={2019} }'
chicago: Hammer, Manfred, Jens Förstner, and Lena Ebers. “Optical Transition between
Two Optical Waveguides Layer and Method for Transmitting Light,” 2019.
ieee: M. Hammer, J. Förstner, and L. Ebers, “Optical transition between two optical
waveguides layer and method for transmitting light.” 2019.
mla: Hammer, Manfred, et al. Optical Transition between Two Optical Waveguides
Layer and Method for Transmitting Light. 2019.
short: M. Hammer, J. Förstner, L. Ebers, (2019).
date_created: 2019-02-15T10:25:59Z
date_updated: 2022-04-27T07:35:46Z
ddc:
- '530'
department:
- _id: '61'
- _id: '230'
file:
- access_level: closed
content_type: application/pdf
creator: fossie
date_created: 2019-02-15T10:21:08Z
date_updated: 2019-02-15T10:21:08Z
file_id: '7721'
file_name: 2019-01-31 DE-Patentschrift_5349.pdf
file_size: 155604
relation: main_file
success: 1
file_date_updated: 2019-02-15T10:21:08Z
has_accepted_license: '1'
ipc: G02B 6/26
ipn: DE102018108110B3
keyword:
- tet_topic_waveguides
main_file_link:
- url: https://patents.google.com/patent/DE102018108110B3/en
page: '9'
project:
- _id: '53'
name: TRR 142
- _id: '56'
name: TRR 142 - Project Area C
- _id: '75'
name: TRR 142 - Subproject C5
publication_date: 2019-01-31
status: public
title: Optical transition between two optical waveguides layer and method for transmitting
light
type: patent
user_id: '158'
year: '2019'
...
---
_id: '24055'
abstract:
- lang: eng
text: An octave-band voltage-controlled oscillator is phase-locked on the envelope
of the pulse train from a mode-locked laser. The locking scheme employs a balanced
Mach-Zehnder modulator with two photodiodes as a phase detector. The phase.locked
loop has a loop bandwidth of approximately 1MHz and an in-band phase noise of
approximately -135dBc/Hz at all frequencies. The integrated jitter from 1kHz to
100MHz is 21fs, 18.3fs and 13.8fs at 5.016GHz, 7.6GHz and 10.032GHz carrier frequencies,
respectively. To the authors' knowledge, this is the best jitter performance reported
for a PLL with MZM-based phase detection and the first reported PLL of this type
featuring an octave-band frequency range.
author:
- first_name: Meysam
full_name: Bahmanian, Meysam
id: '69233'
last_name: Bahmanian
- first_name: Johannes
full_name: Tiedau, Johannes
last_name: Tiedau
- first_name: Christine
full_name: Silberhorn, Christine
id: '26263'
last_name: Silberhorn
- first_name: Christoph
full_name: Scheytt, Christoph
id: '37144'
last_name: Scheytt
citation:
ama: 'Bahmanian M, Tiedau J, Silberhorn C, Scheytt C. Octave-Band Microwave Frequency
Synthesizer Using Mode-Locked Laser as a Reference. In: 2019 International
Topical Meeting on Microwave Photonics (MWP). ; 2019:1-4. doi:10.1109/MWP.2019.8892046'
apa: Bahmanian, M., Tiedau, J., Silberhorn, C., & Scheytt, C. (2019). Octave-Band
Microwave Frequency Synthesizer Using Mode-Locked Laser as a Reference. 2019
International Topical Meeting on Microwave Photonics (MWP), 1–4. https://doi.org/10.1109/MWP.2019.8892046
bibtex: '@inproceedings{Bahmanian_Tiedau_Silberhorn_Scheytt_2019, place={Ottawa,
ON, Canada, Canada}, title={Octave-Band Microwave Frequency Synthesizer Using
Mode-Locked Laser as a Reference}, DOI={10.1109/MWP.2019.8892046},
booktitle={2019 International Topical Meeting on Microwave Photonics (MWP)}, author={Bahmanian,
Meysam and Tiedau, Johannes and Silberhorn, Christine and Scheytt, Christoph},
year={2019}, pages={1–4} }'
chicago: Bahmanian, Meysam, Johannes Tiedau, Christine Silberhorn, and Christoph
Scheytt. “Octave-Band Microwave Frequency Synthesizer Using Mode-Locked Laser
as a Reference.” In 2019 International Topical Meeting on Microwave Photonics
(MWP), 1–4. Ottawa, ON, Canada, Canada, 2019. https://doi.org/10.1109/MWP.2019.8892046.
ieee: 'M. Bahmanian, J. Tiedau, C. Silberhorn, and C. Scheytt, “Octave-Band Microwave
Frequency Synthesizer Using Mode-Locked Laser as a Reference,” in 2019 International
Topical Meeting on Microwave Photonics (MWP), 2019, pp. 1–4, doi: 10.1109/MWP.2019.8892046.'
mla: Bahmanian, Meysam, et al. “Octave-Band Microwave Frequency Synthesizer Using
Mode-Locked Laser as a Reference.” 2019 International Topical Meeting on Microwave
Photonics (MWP), 2019, pp. 1–4, doi:10.1109/MWP.2019.8892046.
short: 'M. Bahmanian, J. Tiedau, C. Silberhorn, C. Scheytt, in: 2019 International
Topical Meeting on Microwave Photonics (MWP), Ottawa, ON, Canada, Canada, 2019,
pp. 1–4.'
conference:
end_date: 2019.10.10
start_date: 2019.10.07
date_created: 2021-09-09T12:26:10Z
date_updated: 2022-01-31T15:17:38Z
department:
- _id: '58'
doi: 10.1109/MWP.2019.8892046
language:
- iso: eng
page: 1-4
place: Ottawa, ON, Canada, Canada
publication: 2019 International Topical Meeting on Microwave Photonics (MWP)
related_material:
link:
- relation: confirmation
url: https://ieeexplore.ieee.org/document/8892046
status: public
title: Octave-Band Microwave Frequency Synthesizer Using Mode-Locked Laser as a Reference
type: conference
user_id: '69233'
year: '2019'
...
---
_id: '12918'
abstract:
- lang: eng
text: 'The test for small delay faults is of major importance for predicting potential
early life failures or wearout problems. Typically, a faster-than-at-speed test
(FAST) with sev¬eral different frequencies is used to detect also hidden small
delays, which can only be propagated over short paths. But then the outputs at
the end of long paths may no longer reach their stable values at the nominal observation
time and must be considered as unknown (X-values). Thus, test response compaction
for FAST must be extremely flexible to cope with high X-rates, which also vary
with the test frequencies. Stochastic compaction introduced by Mitra et al. is
controlled by weighted pseudo-random signals allowing for easy adaptation to varying
conditions. As demonstrated in previous work, the pseudo-random control can be
optimized for high fault efficiency or X-reduction, but a given target in fault
efficiency cannot be guaranteed. To close this gap, a hybrid space compactor is
introduced in this paper. It is based on the observation that many faults are
lost in the compaction of relatively few critical test patterns. For these critical
patterns a deterministic compaction phase is added to the test, where the existing
compactor structure is re-used, but controlled by specifically determined control
vectors. '
author:
- first_name: Mohammad Urf
full_name: Maaz, Mohammad Urf
id: '49274'
last_name: Maaz
- first_name: Alexander
full_name: Sprenger, Alexander
id: '22707'
last_name: Sprenger
- first_name: Sybille
full_name: Hellebrand, Sybille
id: '209'
last_name: Hellebrand
orcid: 0000-0002-3717-3939
citation:
ama: 'Maaz MU, Sprenger A, Hellebrand S. A Hybrid Space Compactor for Adaptive X-Handling.
In: 50th IEEE International Test Conference (ITC). IEEE; 2019:1-8.'
apa: Maaz, M. U., Sprenger, A., & Hellebrand, S. (2019). A Hybrid Space Compactor
for Adaptive X-Handling. 50th IEEE International Test Conference (ITC),
1–8.
bibtex: '@inproceedings{Maaz_Sprenger_Hellebrand_2019, place={Washington, DC, USA},
title={A Hybrid Space Compactor for Adaptive X-Handling}, booktitle={50th IEEE
International Test Conference (ITC)}, publisher={IEEE}, author={Maaz, Mohammad
Urf and Sprenger, Alexander and Hellebrand, Sybille}, year={2019}, pages={1–8}
}'
chicago: 'Maaz, Mohammad Urf, Alexander Sprenger, and Sybille Hellebrand. “A Hybrid
Space Compactor for Adaptive X-Handling.” In 50th IEEE International Test Conference
(ITC), 1–8. Washington, DC, USA: IEEE, 2019.'
ieee: M. U. Maaz, A. Sprenger, and S. Hellebrand, “A Hybrid Space Compactor for
Adaptive X-Handling,” in 50th IEEE International Test Conference (ITC),
Washington, DC, USA, 2019, pp. 1–8.
mla: Maaz, Mohammad Urf, et al. “A Hybrid Space Compactor for Adaptive X-Handling.”
50th IEEE International Test Conference (ITC), IEEE, 2019, pp. 1–8.
short: 'M.U. Maaz, A. Sprenger, S. Hellebrand, in: 50th IEEE International Test
Conference (ITC), IEEE, Washington, DC, USA, 2019, pp. 1–8.'
conference:
end_date: 2019-11-14
location: Washington, DC, USA
name: 50th IEEE International Test Conference (ITC)
start_date: 2019-11-12
date_created: 2019-08-14T06:59:04Z
date_updated: 2022-05-11T17:09:35Z
department:
- _id: '48'
keyword:
- Faster-than-at-speed test
- BIST
- DFT
- Test response compaction
- Stochastic compactor
- X-handling
language:
- iso: eng
page: 1-8
place: Washington, DC, USA
publication: 50th IEEE International Test Conference (ITC)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: A Hybrid Space Compactor for Adaptive X-Handling
type: conference
user_id: '209'
year: '2019'
...
---
_id: '8634'
abstract:
- lang: eng
text: "A rectangular dielectric strip at some distance above an optical slab waveguide
is\r\nbeing considered, for evanescent excitation of the strip through the semi-guided
waves supported\r\nby the slab, at specific oblique angles. The 2.5-D configuration
shows resonant transmission\r\nproperties with respect to variations of the angle
of incidence, or of the excitation frequency,\r\nrespectively. The strength of
the interaction can be controlled by the gap between strip and slab.\r\nFor increasing
distance, our simulations predict resonant states with unit extremal reflectance\r\nof
an angular or spectral width that tends to zero, i.e. resonances with a Q-factor
that tends\r\nto infinity, while the resonance position approaches the level of
the guided mode of the strip.\r\nThis exceptionally simple system realizes what
might be termed a “bound state coupled to the\r\ncontinuum”."
article_type: original
author:
- first_name: Manfred
full_name: Hammer, Manfred
id: '48077'
last_name: Hammer
orcid: 0000-0002-6331-9348
- first_name: Lena
full_name: Ebers, Lena
id: '40428'
last_name: Ebers
- first_name: Jens
full_name: Förstner, Jens
id: '158'
last_name: Förstner
orcid: 0000-0001-7059-9862
citation:
ama: 'Hammer M, Ebers L, Förstner J. Oblique evanescent excitation of a dielectric
strip: A model resonator with an open optical cavity of unlimited Q. Optics
Express. 2019;27(7):8. doi:10.1364/OE.27.009313'
apa: 'Hammer, M., Ebers, L., & Förstner, J. (2019). Oblique evanescent excitation
of a dielectric strip: A model resonator with an open optical cavity of unlimited
Q. Optics Express, 27(7), 8. https://doi.org/10.1364/OE.27.009313'
bibtex: '@article{Hammer_Ebers_Förstner_2019, title={Oblique evanescent excitation
of a dielectric strip: A model resonator with an open optical cavity of unlimited
Q}, volume={27}, DOI={10.1364/OE.27.009313},
number={7}, journal={Optics Express}, author={Hammer, Manfred and Ebers, Lena
and Förstner, Jens}, year={2019}, pages={8} }'
chicago: 'Hammer, Manfred, Lena Ebers, and Jens Förstner. “Oblique Evanescent Excitation
of a Dielectric Strip: A Model Resonator with an Open Optical Cavity of Unlimited
Q.” Optics Express 27, no. 7 (2019): 8. https://doi.org/10.1364/OE.27.009313.'
ieee: 'M. Hammer, L. Ebers, and J. Förstner, “Oblique evanescent excitation of a
dielectric strip: A model resonator with an open optical cavity of unlimited Q,”
Optics Express, vol. 27, no. 7, p. 8, 2019, doi: 10.1364/OE.27.009313.'
mla: 'Hammer, Manfred, et al. “Oblique Evanescent Excitation of a Dielectric Strip:
A Model Resonator with an Open Optical Cavity of Unlimited Q.” Optics Express,
vol. 27, no. 7, 2019, p. 8, doi:10.1364/OE.27.009313.'
short: M. Hammer, L. Ebers, J. Förstner, Optics Express 27 (2019) 8.
date_created: 2019-03-26T10:39:00Z
date_updated: 2023-01-03T10:34:29Z
ddc:
- '600'
department:
- _id: '61'
doi: 10.1364/OE.27.009313
file:
- access_level: closed
content_type: application/pdf
creator: nprante
date_created: 2019-03-27T13:47:50Z
date_updated: 2019-03-27T13:47:50Z
file_id: '8714'
file_name: oe-27-7-9313.pdf
file_size: 2388537
relation: main_file
success: 1
file_date_updated: 2019-03-27T13:47:50Z
has_accepted_license: '1'
intvolume: ' 27'
issue: '7'
keyword:
- tet_topic_waveguides
language:
- iso: eng
page: '8'
publication: Optics Express
status: public
title: 'Oblique evanescent excitation of a dielectric strip: A model resonator with
an open optical cavity of unlimited Q'
type: journal_article
user_id: '158'
volume: 27
year: '2019'
...
---
_id: '15814'
abstract:
- lang: eng
text: Once a popular theme of futuristic science fiction or far-fetched technology
forecasts, digital home assistants with a spoken language interface have become
a ubiquitous commodity today. This success has been made possible by major advancements
in signal processing and machine learning for so-called far-field speech recognition,
where the commands are spoken at a distance from the sound capturing device. The
challenges encountered are quite unique and different from many other use cases
of automatic speech recognition. The purpose of this tutorial article is to describe,
in a way amenable to the non-specialist, the key speech processing algorithms
that enable reliable fully hands-free speech interaction with digital home assistants.
These technologies include multi-channel acoustic echo cancellation, microphone
array processing and dereverberation techniques for signal enhancement, reliable
wake-up word and end-of-interaction detection, high-quality speech synthesis,
as well as sophisticated statistical models for speech and language, learned from
large amounts of heterogeneous training data. In all these fields, deep learning
has occupied a critical role.
author:
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
- first_name: Shinji
full_name: Watanabe, Shinji
last_name: Watanabe
- first_name: Tomohiro
full_name: Nakatani, Tomohiro
last_name: Nakatani
- first_name: Michiel
full_name: Bacchiani, Michiel
last_name: Bacchiani
- first_name: Bjoern
full_name: Hoffmeister, Bjoern
last_name: Hoffmeister
- first_name: Michael L.
full_name: Seltzer, Michael L.
last_name: Seltzer
- first_name: Heiga
full_name: Zen, Heiga
last_name: Zen
- first_name: Mehrez
full_name: Souden, Mehrez
last_name: Souden
citation:
ama: 'Haeb-Umbach R, Watanabe S, Nakatani T, et al. Speech Processing for Digital
Home Assistance: Combining Signal Processing With Deep-Learning Techniques. IEEE
Signal Processing Magazine. 2019;36(6):111-124. doi:10.1109/MSP.2019.2918706'
apa: 'Haeb-Umbach, R., Watanabe, S., Nakatani, T., Bacchiani, M., Hoffmeister, B.,
Seltzer, M. L., Zen, H., & Souden, M. (2019). Speech Processing for Digital
Home Assistance: Combining Signal Processing With Deep-Learning Techniques. IEEE
Signal Processing Magazine, 36(6), 111–124. https://doi.org/10.1109/MSP.2019.2918706'
bibtex: '@article{Haeb-Umbach_Watanabe_Nakatani_Bacchiani_Hoffmeister_Seltzer_Zen_Souden_2019,
title={Speech Processing for Digital Home Assistance: Combining Signal Processing
With Deep-Learning Techniques}, volume={36}, DOI={10.1109/MSP.2019.2918706},
number={6}, journal={IEEE Signal Processing Magazine}, author={Haeb-Umbach, Reinhold
and Watanabe, Shinji and Nakatani, Tomohiro and Bacchiani, Michiel and Hoffmeister,
Bjoern and Seltzer, Michael L. and Zen, Heiga and Souden, Mehrez}, year={2019},
pages={111–124} }'
chicago: 'Haeb-Umbach, Reinhold, Shinji Watanabe, Tomohiro Nakatani, Michiel Bacchiani,
Bjoern Hoffmeister, Michael L. Seltzer, Heiga Zen, and Mehrez Souden. “Speech
Processing for Digital Home Assistance: Combining Signal Processing With Deep-Learning
Techniques.” IEEE Signal Processing Magazine 36, no. 6 (2019): 111–24.
https://doi.org/10.1109/MSP.2019.2918706.'
ieee: 'R. Haeb-Umbach et al., “Speech Processing for Digital Home Assistance:
Combining Signal Processing With Deep-Learning Techniques,” IEEE Signal Processing
Magazine, vol. 36, no. 6, pp. 111–124, 2019, doi: 10.1109/MSP.2019.2918706.'
mla: 'Haeb-Umbach, Reinhold, et al. “Speech Processing for Digital Home Assistance:
Combining Signal Processing With Deep-Learning Techniques.” IEEE Signal Processing
Magazine, vol. 36, no. 6, 2019, pp. 111–24, doi:10.1109/MSP.2019.2918706.'
short: R. Haeb-Umbach, S. Watanabe, T. Nakatani, M. Bacchiani, B. Hoffmeister, M.L.
Seltzer, H. Zen, M. Souden, IEEE Signal Processing Magazine 36 (2019) 111–124.
date_created: 2020-02-06T07:26:20Z
date_updated: 2023-01-09T11:47:09Z
ddc:
- '000'
department:
- _id: '54'
doi: 10.1109/MSP.2019.2918706
file:
- access_level: open_access
content_type: application/pdf
creator: huesera
date_created: 2020-02-06T07:28:26Z
date_updated: 2020-02-06T07:28:26Z
file_id: '15815'
file_name: JournalIEEESignal ProcessingMagazine_2019_Haeb-Umbach_Paper.pdf
file_size: 1085002
relation: main_file
file_date_updated: 2020-02-06T07:28:26Z
has_accepted_license: '1'
intvolume: ' 36'
issue: '6'
language:
- iso: eng
oa: '1'
page: 111-124
publication: IEEE Signal Processing Magazine
publication_identifier:
issn:
- 1558-0792
status: public
title: 'Speech Processing for Digital Home Assistance: Combining Signal Processing
With Deep-Learning Techniques'
type: journal_article
user_id: '242'
volume: 36
year: '2019'
...
---
_id: '35562'
author:
- first_name: Moritz
full_name: Schulze Darup, Moritz
last_name: Schulze Darup
citation:
ama: 'Schulze Darup M. Encrypted Model Predictive Control in the Cloud. In: Privacy
in Dynamical Systems. Springer Singapore; 2019. doi:10.1007/978-981-15-0493-8_11'
apa: Schulze Darup, M. (2019). Encrypted Model Predictive Control in the Cloud.
In Privacy in Dynamical Systems. Springer Singapore. https://doi.org/10.1007/978-981-15-0493-8_11
bibtex: '@inbook{Schulze Darup_2019, place={Singapore}, title={Encrypted Model Predictive
Control in the Cloud}, DOI={10.1007/978-981-15-0493-8_11},
booktitle={Privacy in Dynamical Systems}, publisher={Springer Singapore}, author={Schulze
Darup, Moritz}, year={2019} }'
chicago: 'Schulze Darup, Moritz. “Encrypted Model Predictive Control in the Cloud.”
In Privacy in Dynamical Systems. Singapore: Springer Singapore, 2019. https://doi.org/10.1007/978-981-15-0493-8_11.'
ieee: 'M. Schulze Darup, “Encrypted Model Predictive Control in the Cloud,” in Privacy
in Dynamical Systems, Singapore: Springer Singapore, 2019.'
mla: Schulze Darup, Moritz. “Encrypted Model Predictive Control in the Cloud.” Privacy
in Dynamical Systems, Springer Singapore, 2019, doi:10.1007/978-981-15-0493-8_11.
short: 'M. Schulze Darup, in: Privacy in Dynamical Systems, Springer Singapore,
Singapore, 2019.'
date_created: 2023-01-09T16:19:07Z
date_updated: 2023-01-09T16:19:25Z
department:
- _id: '622'
doi: 10.1007/978-981-15-0493-8_11
language:
- iso: eng
place: Singapore
publication: Privacy in Dynamical Systems
publication_identifier:
isbn:
- '9789811504921'
- '9789811504938'
publication_status: published
publisher: Springer Singapore
status: public
title: Encrypted Model Predictive Control in the Cloud
type: book_chapter
user_id: '158'
year: '2019'
...
---
_id: '35563'
author:
- first_name: Moritz
full_name: Schulze Darup, Moritz
last_name: Schulze Darup
- first_name: Gerrit
full_name: Book, Gerrit
last_name: Book
- first_name: Pontus
full_name: Giselsson, Pontus
last_name: Giselsson
citation:
ama: 'Schulze Darup M, Book G, Giselsson P. Towards real-time ADMM for linear MPC.
In: 2019 18th European Control Conference (ECC). IEEE; 2019. doi:10.23919/ecc.2019.8796239'
apa: Schulze Darup, M., Book, G., & Giselsson, P. (2019). Towards real-time
ADMM for linear MPC. 2019 18th European Control Conference (ECC). https://doi.org/10.23919/ecc.2019.8796239
bibtex: '@inproceedings{Schulze Darup_Book_Giselsson_2019, title={Towards real-time
ADMM for linear MPC}, DOI={10.23919/ecc.2019.8796239},
booktitle={2019 18th European Control Conference (ECC)}, publisher={IEEE}, author={Schulze
Darup, Moritz and Book, Gerrit and Giselsson, Pontus}, year={2019} }'
chicago: Schulze Darup, Moritz, Gerrit Book, and Pontus Giselsson. “Towards Real-Time
ADMM for Linear MPC.” In 2019 18th European Control Conference (ECC). IEEE,
2019. https://doi.org/10.23919/ecc.2019.8796239.
ieee: 'M. Schulze Darup, G. Book, and P. Giselsson, “Towards real-time ADMM for
linear MPC,” 2019, doi: 10.23919/ecc.2019.8796239.'
mla: Schulze Darup, Moritz, et al. “Towards Real-Time ADMM for Linear MPC.” 2019
18th European Control Conference (ECC), IEEE, 2019, doi:10.23919/ecc.2019.8796239.
short: 'M. Schulze Darup, G. Book, P. Giselsson, in: 2019 18th European Control
Conference (ECC), IEEE, 2019.'
date_created: 2023-01-09T16:19:59Z
date_updated: 2023-01-09T16:20:21Z
department:
- _id: '622'
doi: 10.23919/ecc.2019.8796239
language:
- iso: eng
publication: 2019 18th European Control Conference (ECC)
publication_status: published
publisher: IEEE
status: public
title: Towards real-time ADMM for linear MPC
type: conference
user_id: '158'
year: '2019'
...
---
_id: '35566'
abstract:
- lang: eng
text: "Zusammenfassung\r\n Zukünftige
Regelungskonzepte werden verstärkt auf Cloud-Computing und verteiltes Rechnen
setzen. In den resultierenden vernetzten Regelungssystemen werden sensible Daten
über öffentliche Netzwerke kommuniziert und auf Plattformen Dritter verarbeitet.
Verschlüsselte Regelungen zielen darauf ab, die Vertraulichkeit dieser Daten im
gesamten Regelkreis zu sichern. Um dieses Ziel zu erreichen, werden klassische
Regelungsalgorithmen so modifiziert, dass sie verschlüsselte Regeleingriffe basierend
auf verschlüsselten Systemzuständen berechnen. Zum Einsatz kommen dabei homomorphe
Verschlüsselungsverfahren, die einfache mathematische Operationen auf verschlüsselten
Daten ermöglichen. Der Artikel erläutert die Implementierung verschlüsselter Regelungen
anhand von drei wegweisenden Realisierungen in der Cloud."
author:
- first_name: Moritz
full_name: Schulze Darup, Moritz
last_name: Schulze Darup
citation:
ama: Schulze Darup M. Verschlüsselte Regelung in der Cloud – Stand der Technik und
offene Probleme. at - Automatisierungstechnik. 2019;67(8):668-681. doi:10.1515/auto-2019-0022
apa: Schulze Darup, M. (2019). Verschlüsselte Regelung in der Cloud – Stand der
Technik und offene Probleme. At - Automatisierungstechnik, 67(8),
668–681. https://doi.org/10.1515/auto-2019-0022
bibtex: '@article{Schulze Darup_2019, title={Verschlüsselte Regelung in der Cloud
– Stand der Technik und offene Probleme}, volume={67}, DOI={10.1515/auto-2019-0022},
number={8}, journal={at - Automatisierungstechnik}, publisher={Walter de Gruyter
GmbH}, author={Schulze Darup, Moritz}, year={2019}, pages={668–681} }'
chicago: 'Schulze Darup, Moritz. “Verschlüsselte Regelung in Der Cloud – Stand Der
Technik Und Offene Probleme.” At - Automatisierungstechnik 67, no. 8 (2019):
668–81. https://doi.org/10.1515/auto-2019-0022.'
ieee: 'M. Schulze Darup, “Verschlüsselte Regelung in der Cloud – Stand der Technik
und offene Probleme,” at - Automatisierungstechnik, vol. 67, no. 8, pp.
668–681, 2019, doi: 10.1515/auto-2019-0022.'
mla: Schulze Darup, Moritz. “Verschlüsselte Regelung in Der Cloud – Stand Der Technik
Und Offene Probleme.” At - Automatisierungstechnik, vol. 67, no. 8, Walter
de Gruyter GmbH, 2019, pp. 668–81, doi:10.1515/auto-2019-0022.
short: M. Schulze Darup, At - Automatisierungstechnik 67 (2019) 668–681.
date_created: 2023-01-09T16:22:39Z
date_updated: 2023-01-09T16:22:54Z
department:
- _id: '622'
doi: 10.1515/auto-2019-0022
intvolume: ' 67'
issue: '8'
keyword:
- Electrical and Electronic Engineering
- Computer Science Applications
- Control and Systems Engineering
language:
- iso: eng
page: 668-681
publication: at - Automatisierungstechnik
publication_identifier:
issn:
- 2196-677X
- 0178-2312
publication_status: published
publisher: Walter de Gruyter GmbH
status: public
title: Verschlüsselte Regelung in der Cloud – Stand der Technik und offene Probleme
type: journal_article
user_id: '158'
volume: 67
year: '2019'
...
---
_id: '35564'
author:
- first_name: Moritz
full_name: Schulze Darup, Moritz
last_name: Schulze Darup
- first_name: Dieter
full_name: Teichrib, Dieter
last_name: Teichrib
citation:
ama: 'Schulze Darup M, Teichrib D. Efficient computation of RPI sets for tube-based
robust MPC. In: 2019 18th European Control Conference (ECC). IEEE; 2019.
doi:10.23919/ecc.2019.8796265'
apa: Schulze Darup, M., & Teichrib, D. (2019). Efficient computation of RPI
sets for tube-based robust MPC. 2019 18th European Control Conference (ECC).
https://doi.org/10.23919/ecc.2019.8796265
bibtex: '@inproceedings{Schulze Darup_Teichrib_2019, title={Efficient computation
of RPI sets for tube-based robust MPC}, DOI={10.23919/ecc.2019.8796265},
booktitle={2019 18th European Control Conference (ECC)}, publisher={IEEE}, author={Schulze
Darup, Moritz and Teichrib, Dieter}, year={2019} }'
chicago: Schulze Darup, Moritz, and Dieter Teichrib. “Efficient Computation of RPI
Sets for Tube-Based Robust MPC.” In 2019 18th European Control Conference (ECC).
IEEE, 2019. https://doi.org/10.23919/ecc.2019.8796265.
ieee: 'M. Schulze Darup and D. Teichrib, “Efficient computation of RPI sets for
tube-based robust MPC,” 2019, doi: 10.23919/ecc.2019.8796265.'
mla: Schulze Darup, Moritz, and Dieter Teichrib. “Efficient Computation of RPI Sets
for Tube-Based Robust MPC.” 2019 18th European Control Conference (ECC),
IEEE, 2019, doi:10.23919/ecc.2019.8796265.
short: 'M. Schulze Darup, D. Teichrib, in: 2019 18th European Control Conference
(ECC), IEEE, 2019.'
date_created: 2023-01-09T16:21:47Z
date_updated: 2023-01-09T16:22:06Z
department:
- _id: '622'
doi: 10.23919/ecc.2019.8796265
language:
- iso: eng
publication: 2019 18th European Control Conference (ECC)
publication_status: published
publisher: IEEE
status: public
title: Efficient computation of RPI sets for tube-based robust MPC
type: conference
user_id: '158'
year: '2019'
...
---
_id: '35583'
article_number: '108759'
author:
- first_name: Alex S.
full_name: Leong, Alex S.
last_name: Leong
- first_name: Arunselvan
full_name: Ramaswamy, Arunselvan
last_name: Ramaswamy
- first_name: Daniel E.
full_name: Quevedo, Daniel E.
last_name: Quevedo
- first_name: Holger
full_name: Karl, Holger
last_name: Karl
- first_name: Ling
full_name: Shi, Ling
last_name: Shi
citation:
ama: Leong AS, Ramaswamy A, Quevedo DE, Karl H, Shi L. Deep reinforcement learning
for wireless sensor scheduling in cyber–physical systems. Automatica. 2019;113.
doi:10.1016/j.automatica.2019.108759
apa: Leong, A. S., Ramaswamy, A., Quevedo, D. E., Karl, H., & Shi, L. (2019).
Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems.
Automatica, 113, Article 108759. https://doi.org/10.1016/j.automatica.2019.108759
bibtex: '@article{Leong_Ramaswamy_Quevedo_Karl_Shi_2019, title={Deep reinforcement
learning for wireless sensor scheduling in cyber–physical systems}, volume={113},
DOI={10.1016/j.automatica.2019.108759},
number={108759}, journal={Automatica}, publisher={Elsevier BV}, author={Leong,
Alex S. and Ramaswamy, Arunselvan and Quevedo, Daniel E. and Karl, Holger and
Shi, Ling}, year={2019} }'
chicago: Leong, Alex S., Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl, and
Ling Shi. “Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber–Physical
Systems.” Automatica 113 (2019). https://doi.org/10.1016/j.automatica.2019.108759.
ieee: 'A. S. Leong, A. Ramaswamy, D. E. Quevedo, H. Karl, and L. Shi, “Deep reinforcement
learning for wireless sensor scheduling in cyber–physical systems,” Automatica,
vol. 113, Art. no. 108759, 2019, doi: 10.1016/j.automatica.2019.108759.'
mla: Leong, Alex S., et al. “Deep Reinforcement Learning for Wireless Sensor Scheduling
in Cyber–Physical Systems.” Automatica, vol. 113, 108759, Elsevier BV,
2019, doi:10.1016/j.automatica.2019.108759.
short: A.S. Leong, A. Ramaswamy, D.E. Quevedo, H. Karl, L. Shi, Automatica 113 (2019).
date_created: 2023-01-09T16:44:58Z
date_updated: 2023-01-09T16:45:15Z
department:
- _id: '57'
doi: 10.1016/j.automatica.2019.108759
intvolume: ' 113'
keyword:
- Electrical and Electronic Engineering
- Control and Systems Engineering
language:
- iso: eng
publication: Automatica
publication_identifier:
issn:
- 0005-1098
publication_status: published
publisher: Elsevier BV
status: public
title: Deep reinforcement learning for wireless sensor scheduling in cyber–physical
systems
type: journal_article
user_id: '158'
volume: 113
year: '2019'
...
---
_id: '35584'
article_number: '108680'
author:
- first_name: Kemi
full_name: Ding, Kemi
last_name: Ding
- first_name: Xiaoqiang
full_name: Ren, Xiaoqiang
last_name: Ren
- first_name: Daniel E.
full_name: Quevedo, Daniel E.
last_name: Quevedo
- first_name: Subhrakanti
full_name: Dey, Subhrakanti
last_name: Dey
- first_name: Ling
full_name: Shi, Ling
last_name: Shi
citation:
ama: Ding K, Ren X, Quevedo DE, Dey S, Shi L. Defensive deception against reactive
jamming attacks in remote state estimation. Automatica. 2019;113. doi:10.1016/j.automatica.2019.108680
apa: Ding, K., Ren, X., Quevedo, D. E., Dey, S., & Shi, L. (2019). Defensive
deception against reactive jamming attacks in remote state estimation. Automatica,
113, Article 108680. https://doi.org/10.1016/j.automatica.2019.108680
bibtex: '@article{Ding_Ren_Quevedo_Dey_Shi_2019, title={Defensive deception against
reactive jamming attacks in remote state estimation}, volume={113}, DOI={10.1016/j.automatica.2019.108680},
number={108680}, journal={Automatica}, publisher={Elsevier BV}, author={Ding,
Kemi and Ren, Xiaoqiang and Quevedo, Daniel E. and Dey, Subhrakanti and Shi, Ling},
year={2019} }'
chicago: Ding, Kemi, Xiaoqiang Ren, Daniel E. Quevedo, Subhrakanti Dey, and Ling
Shi. “Defensive Deception against Reactive Jamming Attacks in Remote State Estimation.”
Automatica 113 (2019). https://doi.org/10.1016/j.automatica.2019.108680.
ieee: 'K. Ding, X. Ren, D. E. Quevedo, S. Dey, and L. Shi, “Defensive deception
against reactive jamming attacks in remote state estimation,” Automatica,
vol. 113, Art. no. 108680, 2019, doi: 10.1016/j.automatica.2019.108680.'
mla: Ding, Kemi, et al. “Defensive Deception against Reactive Jamming Attacks in
Remote State Estimation.” Automatica, vol. 113, 108680, Elsevier BV, 2019,
doi:10.1016/j.automatica.2019.108680.
short: K. Ding, X. Ren, D.E. Quevedo, S. Dey, L. Shi, Automatica 113 (2019).
date_created: 2023-01-09T16:45:46Z
date_updated: 2023-01-09T16:45:59Z
department:
- _id: '57'
doi: 10.1016/j.automatica.2019.108680
intvolume: ' 113'
keyword:
- Electrical and Electronic Engineering
- Control and Systems Engineering
language:
- iso: eng
publication: Automatica
publication_identifier:
issn:
- 0005-1098
publication_status: published
publisher: Elsevier BV
status: public
title: Defensive deception against reactive jamming attacks in remote state estimation
type: journal_article
user_id: '158'
volume: 113
year: '2019'
...
---
_id: '19450'
abstract:
- lang: eng
text: 'Wenn akustische Signalverarbeitung mit automatisiertem Lernen verknüpft wird:
Nachrichtentechniker arbeiten mit mehreren Mikrofonen und tiefen neuronalen Netzen
an besserer Spracherkennung unter widrigsten Bedingungen. Von solchen Sensornetzwerken
könnten langfristig auch digitale Sprachassistenten profitieren.'
author:
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: Haeb-Umbach R. Lektionen für Alexa & Co?! DFG forschung 1/2019.
Published online 2019:12-15. doi:10.1002/fors.201970104
apa: Haeb-Umbach, R. (2019). Lektionen für Alexa & Co?! DFG Forschung 1/2019,
12–15. https://doi.org/10.1002/fors.201970104
bibtex: '@article{Haeb-Umbach_2019, title={Lektionen für Alexa & Co?!}, DOI={10.1002/fors.201970104}, journal={DFG
forschung 1/2019}, author={Haeb-Umbach, Reinhold}, year={2019}, pages={12–15}
}'
chicago: Haeb-Umbach, Reinhold. “Lektionen Für Alexa & Co?!” DFG Forschung
1/2019, 2019, 12–15. https://doi.org/10.1002/fors.201970104.
ieee: 'R. Haeb-Umbach, “Lektionen für Alexa & Co?!,” DFG forschung 1/2019,
pp. 12–15, 2019, doi: 10.1002/fors.201970104.'
mla: Haeb-Umbach, Reinhold. “Lektionen Für Alexa & Co?!” DFG Forschung 1/2019,
2019, pp. 12–15, doi:10.1002/fors.201970104.
short: R. Haeb-Umbach, DFG Forschung 1/2019 (2019) 12–15.
date_created: 2020-09-16T08:09:15Z
date_updated: 2023-01-11T11:24:57Z
ddc:
- '000'
department:
- _id: '54'
doi: 10.1002/fors.201970104
file:
- access_level: open_access
content_type: application/pdf
creator: huesera
date_created: 2020-09-16T08:10:25Z
date_updated: 2020-09-16T08:10:25Z
file_id: '19451'
file_name: Artikel_2019_haeb_umbach.pdf
file_size: 337622
relation: main_file
file_date_updated: 2020-09-16T08:10:25Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
page: 12-15
publication: DFG forschung 1/2019
status: public
title: Lektionen für Alexa & Co?!
type: journal_article
user_id: '59789'
year: '2019'
...
---
_id: '15237'
abstract:
- lang: eng
text: This paper presents an approach to voice conversion, whichdoes neither
require parallel data nor speaker or phone labels fortraining. It can convert
between speakers which are not in thetraining set by employing the previously
proposed concept of afactorized hierarchical variational autoencoder. Here, linguisticand
speaker induced variations are separated upon the notionthat content induced variations
change at a much shorter timescale, i.e., at the segment level, than speaker induced
variations,which vary at the longer utterance level. In this contribution wepropose
to employ convolutional instead of recurrent networklayers in the encoder and decoder blocks, which is shown toachieve
better phone recognition accuracy on the latent segmentvariables at frame-level
due to their better temporal resolution.For voice conversion the mean of the utterance
variables is re-placed with the respective estimated mean of the target speaker.The
resulting log-mel spectra of the decoder output are used aslocal conditions of
a WaveNet which is utilized for synthesis ofthe speech waveforms. Experiments
show both good disentan-glement properties of the latent space variables, and
good voiceconversion performance.
author:
- first_name: Tobias
full_name: Gburrek, Tobias
id: '44006'
last_name: Gburrek
- first_name: Thomas
full_name: Glarner, Thomas
id: '14169'
last_name: Glarner
- first_name: Janek
full_name: Ebbers, Janek
id: '34851'
last_name: Ebbers
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
- first_name: Petra
full_name: Wagner, Petra
last_name: Wagner
citation:
ama: 'Gburrek T, Glarner T, Ebbers J, Haeb-Umbach R, Wagner P. Unsupervised Learning
of a Disentangled Speech Representation for Voice Conversion. In: Proc. 10th
ISCA Speech Synthesis Workshop. ; 2019:81-86. doi:10.21437/SSW.2019-15'
apa: Gburrek, T., Glarner, T., Ebbers, J., Haeb-Umbach, R., & Wagner, P. (2019).
Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion.
Proc. 10th ISCA Speech Synthesis Workshop, 81–86. https://doi.org/10.21437/SSW.2019-15
bibtex: '@inproceedings{Gburrek_Glarner_Ebbers_Haeb-Umbach_Wagner_2019, title={Unsupervised
Learning of a Disentangled Speech Representation for Voice Conversion}, DOI={10.21437/SSW.2019-15}, booktitle={Proc.
10th ISCA Speech Synthesis Workshop}, author={Gburrek, Tobias and Glarner, Thomas
and Ebbers, Janek and Haeb-Umbach, Reinhold and Wagner, Petra}, year={2019}, pages={81–86}
}'
chicago: Gburrek, Tobias, Thomas Glarner, Janek Ebbers, Reinhold Haeb-Umbach, and
Petra Wagner. “Unsupervised Learning of a Disentangled Speech Representation for
Voice Conversion.” In Proc. 10th ISCA Speech Synthesis Workshop, 81–86,
2019. https://doi.org/10.21437/SSW.2019-15.
ieee: 'T. Gburrek, T. Glarner, J. Ebbers, R. Haeb-Umbach, and P. Wagner, “Unsupervised
Learning of a Disentangled Speech Representation for Voice Conversion,” in Proc.
10th ISCA Speech Synthesis Workshop, Vienna, 2019, pp. 81–86, doi: 10.21437/SSW.2019-15.'
mla: Gburrek, Tobias, et al. “Unsupervised Learning of a Disentangled Speech Representation
for Voice Conversion.” Proc. 10th ISCA Speech Synthesis Workshop, 2019,
pp. 81–86, doi:10.21437/SSW.2019-15.
short: 'T. Gburrek, T. Glarner, J. Ebbers, R. Haeb-Umbach, P. Wagner, in: Proc.
10th ISCA Speech Synthesis Workshop, 2019, pp. 81–86.'
conference:
location: Vienna
name: 10th ISCA Speech Synthesis Workshop
date_created: 2019-12-04T08:12:29Z
date_updated: 2023-11-17T06:20:39Z
department:
- _id: '54'
doi: 10.21437/SSW.2019-15
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.isca-speech.org/archive/pdfs/ssw_2019/gburrek19_ssw.pdf
oa: '1'
page: 81-86
publication: Proc. 10th ISCA Speech Synthesis Workshop
quality_controlled: '1'
related_material:
link:
- description: Listening examples
relation: supplementary_material
url: http://go.upb.de/vcex
status: public
title: Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion
type: conference
user_id: '44006'
year: '2019'
...
---
_id: '15794'
abstract:
- lang: eng
text: In this paper we present our audio tagging system for the DCASE 2019 Challenge
Task 2. We propose a model consisting of a convolutional front end using log-mel-energies
as input features, a recurrent neural network sequence encoder and a fully connected
classifier network outputting an activity probability for each of the 80 considered
event classes. Due to the recurrent neural network, which encodes a whole sequence
into a single vector, our model is able to process sequences of varying lengths.
The model is trained with only little manually labeled training data and a larger
amount of automatically labeled web data, which hence suffers from label noise.
To efficiently train the model with the provided data we use various data augmentation
to prevent overfitting and improve generalization. Our best submitted system achieves
a label-weighted label-ranking average precision (lwlrap) of 75.5% on the private
test set which is an absolute improvement of 21.7% over the baseline. This system
scored the second place in the teams ranking of the DCASE 2019 Challenge Task
2 and the fifth place in the Kaggle competition “Freesound Audio Tagging 2019”
with more than 400 participants. After the challenge ended we further improved
performance to 76.5% lwlrap setting a new state-of-the-art on this dataset.
author:
- first_name: Janek
full_name: Ebbers, Janek
id: '34851'
last_name: Ebbers
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Ebbers J, Haeb-Umbach R. Convolutional Recurrent Neural Network and Data Augmentation
for Audio Tagging with Noisy Labels and Minimal Supervision. In: DCASE2019
Workshop, New York, USA. ; 2019.'
apa: Ebbers, J., & Haeb-Umbach, R. (2019). Convolutional Recurrent Neural Network
and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision.
DCASE2019 Workshop, New York, USA.
bibtex: '@inproceedings{Ebbers_Haeb-Umbach_2019, title={Convolutional Recurrent
Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal
Supervision}, booktitle={DCASE2019 Workshop, New York, USA}, author={Ebbers, Janek
and Haeb-Umbach, Reinhold}, year={2019} }'
chicago: Ebbers, Janek, and Reinhold Haeb-Umbach. “Convolutional Recurrent Neural
Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal
Supervision.” In DCASE2019 Workshop, New York, USA, 2019.
ieee: J. Ebbers and R. Haeb-Umbach, “Convolutional Recurrent Neural Network and
Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision,”
2019.
mla: Ebbers, Janek, and Reinhold Haeb-Umbach. “Convolutional Recurrent Neural Network
and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision.”
DCASE2019 Workshop, New York, USA, 2019.
short: 'J. Ebbers, R. Haeb-Umbach, in: DCASE2019 Workshop, New York, USA, 2019.'
date_created: 2020-02-05T10:16:03Z
date_updated: 2023-11-22T08:30:12Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: open_access
content_type: application/pdf
creator: huesera
date_created: 2020-02-05T10:18:06Z
date_updated: 2020-02-05T10:18:06Z
file_id: '15795'
file_name: DCASE_2019_WS_Ebbers_Paper.pdf
file_size: 184967
relation: main_file
file_date_updated: 2020-02-05T10:18:06Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: DCASE2019 Workshop, New York, USA
quality_controlled: '1'
status: public
title: Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging
with Noisy Labels and Minimal Supervision
type: conference
user_id: '34851'
year: '2019'
...
---
_id: '15796'
abstract:
- lang: eng
text: In this paper we consider human daily activity recognition using an acoustic
sensor network (ASN) which consists of nodes distributed in a home environment.
Assuming that the ASN is permanently recording, the vast majority of recordings
is silence. Therefore, we propose to employ a computationally efficient two-stage
sound recognition system, consisting of an initial sound activity detection (SAD)
and a subsequent sound event classification (SEC), which is only activated once
sound activity has been detected. We show how a low-latency activity detector
with high temporal resolution can be trained from weak labels with low temporal
resolution. We further demonstrate the advantage of using spatial features for
the subsequent event classification task.
author:
- first_name: Janek
full_name: Ebbers, Janek
id: '34851'
last_name: Ebbers
- first_name: Lukas
full_name: Drude, Lukas
id: '11213'
last_name: Drude
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
- first_name: Andreas
full_name: Brendel, Andreas
last_name: Brendel
- first_name: Walter
full_name: Kellermann, Walter
last_name: Kellermann
citation:
ama: 'Ebbers J, Drude L, Haeb-Umbach R, Brendel A, Kellermann W. Weakly Supervised
Sound Activity Detection and Event Classification in Acoustic Sensor Networks.
In: CAMSAP 2019, Guadeloupe, West Indies. ; 2019.'
apa: Ebbers, J., Drude, L., Haeb-Umbach, R., Brendel, A., & Kellermann, W. (2019).
Weakly Supervised Sound Activity Detection and Event Classification in Acoustic
Sensor Networks. CAMSAP 2019, Guadeloupe, West Indies.
bibtex: '@inproceedings{Ebbers_Drude_Haeb-Umbach_Brendel_Kellermann_2019, title={Weakly
Supervised Sound Activity Detection and Event Classification in Acoustic Sensor
Networks}, booktitle={CAMSAP 2019, Guadeloupe, West Indies}, author={Ebbers, Janek
and Drude, Lukas and Haeb-Umbach, Reinhold and Brendel, Andreas and Kellermann,
Walter}, year={2019} }'
chicago: Ebbers, Janek, Lukas Drude, Reinhold Haeb-Umbach, Andreas Brendel, and
Walter Kellermann. “Weakly Supervised Sound Activity Detection and Event Classification
in Acoustic Sensor Networks.” In CAMSAP 2019, Guadeloupe, West Indies,
2019.
ieee: J. Ebbers, L. Drude, R. Haeb-Umbach, A. Brendel, and W. Kellermann, “Weakly
Supervised Sound Activity Detection and Event Classification in Acoustic Sensor
Networks,” 2019.
mla: Ebbers, Janek, et al. “Weakly Supervised Sound Activity Detection and Event
Classification in Acoustic Sensor Networks.” CAMSAP 2019, Guadeloupe, West
Indies, 2019.
short: 'J. Ebbers, L. Drude, R. Haeb-Umbach, A. Brendel, W. Kellermann, in: CAMSAP
2019, Guadeloupe, West Indies, 2019.'
date_created: 2020-02-05T10:20:17Z
date_updated: 2023-11-22T08:29:58Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: open_access
content_type: application/pdf
creator: huesera
date_created: 2020-02-05T10:21:39Z
date_updated: 2020-02-05T10:21:39Z
file_id: '15797'
file_name: CAMSAP_2019_WS_Ebbers_Paper.pdf
file_size: 311887
relation: main_file
file_date_updated: 2020-02-05T10:21:39Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: CAMSAP 2019, Guadeloupe, West Indies
quality_controlled: '1'
status: public
title: Weakly Supervised Sound Activity Detection and Event Classification in Acoustic
Sensor Networks
type: conference
user_id: '34851'
year: '2019'
...
---
_id: '48501'
abstract:
- lang: eng
text: 'Gathering knowledge not only of the current but also the upcoming
wind speed is getting more and more important as the experience of operating and
maintaining wind turbines is increasing. Not only with regards to operation and
maintenance tasks such as gearbox and generator checks but moreover due to the
fact that energy providers have to sell the right amount of their converted energy
at the European energy markets, the knowledge of the wind and hence electrical
power of the next day is of key importance. Selling more energy as has been offered
is penalized as well as offering less energy as contractually promised. In addition
to that the price per offered kWh decreases in case of a surplus of energy. Achieving
a forecast there are various methods in computer science: fuzzy logic, linear
prediction or neural networks. This paper presents current results of wind speed
forecasts using recurrent neural networks (RNN) and the gradient descent method
plus a backpropagation learning algorithm. Data used has been extracted from NASA''s
Modern Era-Retrospective analysis for Research and Applications (MERRA) which
is calculated by a GEOS-5 Earth System Modeling and Data Assimilation system.
The presented results show that wind speed data can be forecasted using historical
data for training the RNN. Nevertheless, the current set up system lacks robustness
and can be improved further with regards to accuracy.'
author:
- first_name: Stefan
full_name: Balluff, Stefan
last_name: Balluff
- first_name: Jörg
full_name: Bendfeld, Jörg
id: '16148'
last_name: Bendfeld
- first_name: Stefan
full_name: Krauter, Stefan
id: '28836'
last_name: Krauter
orcid: 0000-0002-3594-260X
citation:
ama: 'Balluff S, Bendfeld J, Krauter S. Meteorological Data Forecast using RNN.
In: Deep Learning and Neural Networks. IGI Global; 2019. doi:10.4018/978-1-7998-0414-7.ch050'
apa: Balluff, S., Bendfeld, J., & Krauter, S. (2019). Meteorological Data Forecast
using RNN. In Deep Learning and Neural Networks. IGI Global. https://doi.org/10.4018/978-1-7998-0414-7.ch050
bibtex: '@inbook{Balluff_Bendfeld_Krauter_2019, title={Meteorological Data Forecast
using RNN}, DOI={10.4018/978-1-7998-0414-7.ch050},
booktitle={Deep Learning and Neural Networks}, publisher={IGI Global}, author={Balluff,
Stefan and Bendfeld, Jörg and Krauter, Stefan}, year={2019} }'
chicago: Balluff, Stefan, Jörg Bendfeld, and Stefan Krauter. “Meteorological Data
Forecast Using RNN.” In Deep Learning and Neural Networks. IGI Global,
2019. https://doi.org/10.4018/978-1-7998-0414-7.ch050.
ieee: S. Balluff, J. Bendfeld, and S. Krauter, “Meteorological Data Forecast using
RNN,” in Deep Learning and Neural Networks, IGI Global, 2019.
mla: Balluff, Stefan, et al. “Meteorological Data Forecast Using RNN.” Deep Learning
and Neural Networks, IGI Global, 2019, doi:10.4018/978-1-7998-0414-7.ch050.
short: 'S. Balluff, J. Bendfeld, S. Krauter, in: Deep Learning and Neural Networks,
IGI Global, 2019.'
date_created: 2023-10-27T08:28:27Z
date_updated: 2023-10-27T08:29:56Z
department:
- _id: '53'
doi: 10.4018/978-1-7998-0414-7.ch050
language:
- iso: eng
publication: Deep Learning and Neural Networks
publication_status: published
publisher: IGI Global
status: public
title: Meteorological Data Forecast using RNN
type: book_chapter
user_id: '16148'
year: '2019'
...