---
_id: '11912'
abstract:
- lang: eng
text: In this contribution we provide a unified treatment of blind source separation
(BSS) and noise suppression, two tasks which have traditionally been considered
different and for which quite different techniques have been developed. Exploiting
the sparseness of the sources in the short time frequency domain and using a probabilistic
model which accounts for the presence of additive noise and which captures the
spatial information of the multi-channel recording, a speech enhancement system
is developed which suppresses noise and simultaneously separates speakers in case
multiple speakers are active. Source activity estimation and model parameter estimation
form the E-step and the M-step of the Expectation Maximization algorithm, respectively.
Experimental results obtained on the dataset of the Signal Separation Evaluation
Campaign 2010 demonstrate the effectiveness of the proposed system.
author:
- first_name: Dang Hai
full_name: Tran Vu, Dang Hai
last_name: Tran Vu
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Tran Vu DH, Haeb-Umbach R. An EM Approach to Integrated Multichannel Speech
Separation and Noise Suppression. In: International Workshop on Acoustic Echo
and Noise Control (IWAENC 2010). ; 2010.'
apa: Tran Vu, D. H., & Haeb-Umbach, R. (2010). An EM Approach to Integrated
Multichannel Speech Separation and Noise Suppression. In International Workshop
on Acoustic Echo and Noise Control (IWAENC 2010).
bibtex: '@inproceedings{Tran Vu_Haeb-Umbach_2010, title={An EM Approach to Integrated
Multichannel Speech Separation and Noise Suppression}, booktitle={International
Workshop on Acoustic Echo and Noise Control (IWAENC 2010)}, author={Tran Vu, Dang
Hai and Haeb-Umbach, Reinhold}, year={2010} }'
chicago: Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “An EM Approach to Integrated
Multichannel Speech Separation and Noise Suppression.” In International Workshop
on Acoustic Echo and Noise Control (IWAENC 2010), 2010.
ieee: D. H. Tran Vu and R. Haeb-Umbach, “An EM Approach to Integrated Multichannel
Speech Separation and Noise Suppression,” in International Workshop on Acoustic
Echo and Noise Control (IWAENC 2010), 2010.
mla: Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “An EM Approach to Integrated
Multichannel Speech Separation and Noise Suppression.” International Workshop
on Acoustic Echo and Noise Control (IWAENC 2010), 2010.
short: 'D.H. Tran Vu, R. Haeb-Umbach, in: International Workshop on Acoustic Echo
and Noise Control (IWAENC 2010), 2010.'
date_created: 2019-07-12T05:30:39Z
date_updated: 2022-01-06T06:51:12Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2010/DaHa10-1.pdf
oa: '1'
publication: International Workshop on Acoustic Echo and Noise Control (IWAENC 2010)
status: public
title: An EM Approach to Integrated Multichannel Speech Separation and Noise Suppression
type: conference
user_id: '44006'
year: '2010'
...
---
_id: '11913'
abstract:
- lang: eng
text: In this paper we propose to employ directional statistics in a complex vector
space to approach the problem of blind speech separation in the presence of spatially
correlated noise. We interpret the values of the short time Fourier transform
of the microphone signals to be draws from a mixture of complex Watson distributions,
a probabilistic model which naturally accounts for spatial aliasing. The parameters
of the density are related to the a priori source probabilities, the power of
the sources and the transfer function ratios from sources to sensors. Estimation
formulas are derived for these parameters by employing the Expectation Maximization
(EM) algorithm. The E-step corresponds to the estimation of the source presence
probabilities for each time-frequency bin, while the M-step leads to a maximum
signal-to-noise ratio (MaxSNR) beamformer in the presence of uncertainty about
the source activity. Experimental results are reported for an implementation in
a generalized sidelobe canceller (GSC) like spatial beamforming configuration
for 3 speech sources with significant coherent noise in reverberant environments,
demonstrating the usefulness of the novel modeling framework.
author:
- first_name: Dang Hai
full_name: Tran Vu, Dang Hai
last_name: Tran Vu
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Tran Vu DH, Haeb-Umbach R. Blind speech separation employing directional statistics
in an Expectation Maximization framework. In: IEEE International Conference
on Acoustics, Speech and Signal Processing (ICASSP 2010). ; 2010:241-244.
doi:10.1109/ICASSP.2010.5495994'
apa: Tran Vu, D. H., & Haeb-Umbach, R. (2010). Blind speech separation employing
directional statistics in an Expectation Maximization framework. In IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP 2010) (pp. 241–244).
https://doi.org/10.1109/ICASSP.2010.5495994
bibtex: '@inproceedings{Tran Vu_Haeb-Umbach_2010, title={Blind speech separation
employing directional statistics in an Expectation Maximization framework}, DOI={10.1109/ICASSP.2010.5495994},
booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP 2010)}, author={Tran Vu, Dang Hai and Haeb-Umbach, Reinhold}, year={2010},
pages={241–244} }'
chicago: Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “Blind Speech Separation Employing
Directional Statistics in an Expectation Maximization Framework.” In IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP 2010), 241–44,
2010. https://doi.org/10.1109/ICASSP.2010.5495994.
ieee: D. H. Tran Vu and R. Haeb-Umbach, “Blind speech separation employing directional
statistics in an Expectation Maximization framework,” in IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP 2010), 2010,
pp. 241–244.
mla: Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “Blind Speech Separation Employing
Directional Statistics in an Expectation Maximization Framework.” IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP 2010), 2010,
pp. 241–44, doi:10.1109/ICASSP.2010.5495994.
short: 'D.H. Tran Vu, R. Haeb-Umbach, in: IEEE International Conference on Acoustics,
Speech and Signal Processing (ICASSP 2010), 2010, pp. 241–244.'
date_created: 2019-07-12T05:30:40Z
date_updated: 2022-01-06T06:51:12Z
department:
- _id: '54'
doi: 10.1109/ICASSP.2010.5495994
keyword:
- array signal processing
- blind source separation
- blind speech separation
- complex vector space
- complex Watson distribution
- directional statistics
- expectation-maximisation algorithm
- expectation maximization algorithm
- Fourier transform
- Fourier transforms
- generalized sidelobe canceller
- interference suppression
- maximum signal-to-noise ratio beamformer
- microphone signal
- probabilistic model
- spatial aliasing
- spatial beamforming configuration
- speech enhancement
- statistical distributions
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2010/DaHa10-2.pdf
oa: '1'
page: 241-244
publication: IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP 2010)
status: public
title: Blind speech separation employing directional statistics in an Expectation
Maximization framework
type: conference
user_id: '44006'
year: '2010'
...
---
_id: '11892'
abstract:
- lang: eng
text: For an environment to be perceived as being smart, contextual information
has to be gathered to adapt the system's behavior and its interface towards the
user. Being a rich source of context information speech can be acquired unobtrusively
by microphone arrays and then processed to extract information about the user
and his environment. In this paper, a system for joint temporal segmentation,
speaker localization, and identification is presented, which is supported by face
identification from video data obtained from a steerable camera. Special attention
is paid to latency aspects and online processing capabilities, as they are important
for the application under investigation, namely ambient communication. It describes
the vision of terminal-less, session-less and multi-modal telecommunication with
remote partners, where the user can move freely within his home while the communication
follows him. The speaker diarization serves as a context source, which has been
integrated in a service-oriented middleware architecture and provided to the application
to select the most appropriate I/O device and to steer the camera towards the
speaker during ambient communication.
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: Schmalenstroeer J, Haeb-Umbach R. Online Diarization of Streaming Audio-Visual
Data for Smart Environments. IEEE Journal of Selected Topics in Signal Processing.
2010;4(5):845-856. doi:10.1109/JSTSP.2010.2050519
apa: Schmalenstroeer, J., & Haeb-Umbach, R. (2010). Online Diarization of Streaming
Audio-Visual Data for Smart Environments. IEEE Journal of Selected Topics in
Signal Processing, 4(5), 845–856. https://doi.org/10.1109/JSTSP.2010.2050519
bibtex: '@article{Schmalenstroeer_Haeb-Umbach_2010, title={Online Diarization of
Streaming Audio-Visual Data for Smart Environments}, volume={4}, DOI={10.1109/JSTSP.2010.2050519},
number={5}, journal={IEEE Journal of Selected Topics in Signal Processing}, author={Schmalenstroeer,
Joerg and Haeb-Umbach, Reinhold}, year={2010}, pages={845–856} }'
chicago: 'Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Online Diarization
of Streaming Audio-Visual Data for Smart Environments.” IEEE Journal of Selected
Topics in Signal Processing 4, no. 5 (2010): 845–56. https://doi.org/10.1109/JSTSP.2010.2050519.'
ieee: 'J. Schmalenstroeer and R. Haeb-Umbach, “Online Diarization of Streaming Audio-Visual
Data for Smart Environments,” IEEE Journal of Selected Topics in Signal Processing,
vol. 4, no. 5, pp. 845–856, 2010, doi: 10.1109/JSTSP.2010.2050519.'
mla: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Online Diarization of Streaming
Audio-Visual Data for Smart Environments.” IEEE Journal of Selected Topics
in Signal Processing, vol. 4, no. 5, 2010, pp. 845–56, doi:10.1109/JSTSP.2010.2050519.
short: J. Schmalenstroeer, R. Haeb-Umbach, IEEE Journal of Selected Topics in Signal
Processing 4 (2010) 845–856.
date_created: 2019-07-12T05:30:16Z
date_updated: 2023-10-26T08:10:18Z
department:
- _id: '54'
doi: 10.1109/JSTSP.2010.2050519
intvolume: ' 4'
issue: '5'
keyword:
- audio streaming
- audio visual data streaming
- context information speech
- face identification
- face recognition
- image segmentation
- middleware
- multimodal telecommunication
- online diarization
- service oriented middleware architecture
- sessionless telecommunication
- software architecture
- speaker identification
- speaker localization
- speaker recognition
- steerable camera
- telecommunication computing
- temporal segmentation
- terminal-less telecommunication
- video streaming
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2010/ScHa10.pdf
oa: '1'
page: 845-856
publication: IEEE Journal of Selected Topics in Signal Processing
quality_controlled: '1'
status: public
title: Online Diarization of Streaming Audio-Visual Data for Smart Environments
type: journal_article
user_id: '460'
volume: 4
year: '2010'
...
---
_id: '11723'
abstract:
- lang: eng
text: In this paper we present a novel vehicle tracking algorithm, which is based
on multi-level sensor fusion of GPS (global positioning system) with Inertial
Measurement Unit sensor data. It is shown that the robustness of the system to
temporary dropouts of the GPS signal, which may occur due to limited visibility
of satellites in narrow street canyons or tunnels, is greatly improved by sensor
fusion. We further demonstrate how the observation and state noise covariances
of the employed Kalman filters can be estimated alongside the filtering by an
application of the Expectation-Maximization algorithm. The proposed time-variant
multi-level Kalman filter is shown to outperform an Interacting Multiple Model
approach while at the same time being computationally less demanding.
author:
- first_name: Maik
full_name: Bevermeier, Maik
last_name: Bevermeier
- first_name: Sven
full_name: Peschke, Sven
last_name: Peschke
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Bevermeier M, Peschke S, Haeb-Umbach R. Robust vehicle localization based
on multi-level sensor fusion and online parameter estimation. In: 6th Workshop
on Positioning Navigation and Communication (WPNC 2009). ; 2009:235-242. doi:10.1109/WPNC.2009.4907833'
apa: Bevermeier, M., Peschke, S., & Haeb-Umbach, R. (2009). Robust vehicle localization
based on multi-level sensor fusion and online parameter estimation. In 6th
Workshop on Positioning Navigation and Communication (WPNC 2009) (pp. 235–242).
https://doi.org/10.1109/WPNC.2009.4907833
bibtex: '@inproceedings{Bevermeier_Peschke_Haeb-Umbach_2009, title={Robust vehicle
localization based on multi-level sensor fusion and online parameter estimation},
DOI={10.1109/WPNC.2009.4907833},
booktitle={6th Workshop on Positioning Navigation and Communication (WPNC 2009)},
author={Bevermeier, Maik and Peschke, Sven and Haeb-Umbach, Reinhold}, year={2009},
pages={235–242} }'
chicago: Bevermeier, Maik, Sven Peschke, and Reinhold Haeb-Umbach. “Robust Vehicle
Localization Based on Multi-Level Sensor Fusion and Online Parameter Estimation.”
In 6th Workshop on Positioning Navigation and Communication (WPNC 2009),
235–42, 2009. https://doi.org/10.1109/WPNC.2009.4907833.
ieee: M. Bevermeier, S. Peschke, and R. Haeb-Umbach, “Robust vehicle localization
based on multi-level sensor fusion and online parameter estimation,” in 6th
Workshop on Positioning Navigation and Communication (WPNC 2009), 2009, pp.
235–242.
mla: Bevermeier, Maik, et al. “Robust Vehicle Localization Based on Multi-Level
Sensor Fusion and Online Parameter Estimation.” 6th Workshop on Positioning
Navigation and Communication (WPNC 2009), 2009, pp. 235–42, doi:10.1109/WPNC.2009.4907833.
short: 'M. Bevermeier, S. Peschke, R. Haeb-Umbach, in: 6th Workshop on Positioning
Navigation and Communication (WPNC 2009), 2009, pp. 235–242.'
date_created: 2019-07-12T05:27:01Z
date_updated: 2022-01-06T06:51:07Z
department:
- _id: '54'
doi: 10.1109/WPNC.2009.4907833
keyword:
- covariance matrices
- expectation-maximisation algorithm
- expectation-maximization algorithm
- global positioning system
- Global Positioning System
- GPS
- inertial measurement unit
- interacting multiple model approach
- Kalman filters
- multilevel sensor fusion
- narrow street canyons
- narrow tunnels
- online parameter estimation
- parameter estimation
- road vehicles
- robust vehicle localization
- sensor fusion
- state noise covariances
- time-variant multilevel Kalman filter
- vehicle tracking algorithm
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2009/BePeHa09.pdf
oa: '1'
page: 235-242
publication: 6th Workshop on Positioning Navigation and Communication (WPNC 2009)
status: public
title: Robust vehicle localization based on multi-level sensor fusion and online parameter
estimation
type: conference
user_id: '44006'
year: '2009'
...
---
_id: '11724'
abstract:
- lang: eng
text: In this paper we present a novel vehicle tracking method which is based on
multi-stage Kalman filtering of GPS and IMU sensor data. After individual Kalman
filtering of GPS and IMU measurements the estimates of the orientation of the
vehicle are combined in an optimal manner to improve the robustness towards drift
errors. The tracking algorithm incorporates the estimation of time-variant covariance
parameters by using an iterative block Expectation-Maximization algorithm to account
for time-variant driving conditions and measurement quality. The proposed system
is compared to an interacting multiple model approach (IMM) and achieves improved
localization accuracy at lower computational complexity. Furthermore we show how
the joint parameter estimation and localizaiton can be conducted with streaming
input data to be able to track vehicles in a real driving environment.
author:
- first_name: Maik
full_name: Bevermeier, Maik
last_name: Bevermeier
- first_name: Sven
full_name: Peschke, Sven
last_name: Peschke
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Bevermeier M, Peschke S, Haeb-Umbach R. Joint Parameter Estimation and Tracking
in a Multi-Stage Kalman Filter for Vehicle Positioning. In: IEEE 69th Vehicular
Technology Conference (VTC 2009 Spring). ; 2009:1-5. doi:10.1109/VETECS.2009.5073634'
apa: Bevermeier, M., Peschke, S., & Haeb-Umbach, R. (2009). Joint Parameter
Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning.
In IEEE 69th Vehicular Technology Conference (VTC 2009 Spring) (pp. 1–5).
https://doi.org/10.1109/VETECS.2009.5073634
bibtex: '@inproceedings{Bevermeier_Peschke_Haeb-Umbach_2009, title={Joint Parameter
Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning},
DOI={10.1109/VETECS.2009.5073634},
booktitle={IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)}, author={Bevermeier,
Maik and Peschke, Sven and Haeb-Umbach, Reinhold}, year={2009}, pages={1–5} }'
chicago: Bevermeier, Maik, Sven Peschke, and Reinhold Haeb-Umbach. “Joint Parameter
Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning.”
In IEEE 69th Vehicular Technology Conference (VTC 2009 Spring), 1–5, 2009.
https://doi.org/10.1109/VETECS.2009.5073634.
ieee: M. Bevermeier, S. Peschke, and R. Haeb-Umbach, “Joint Parameter Estimation
and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning,” in IEEE
69th Vehicular Technology Conference (VTC 2009 Spring), 2009, pp. 1–5.
mla: Bevermeier, Maik, et al. “Joint Parameter Estimation and Tracking in a Multi-Stage
Kalman Filter for Vehicle Positioning.” IEEE 69th Vehicular Technology Conference
(VTC 2009 Spring), 2009, pp. 1–5, doi:10.1109/VETECS.2009.5073634.
short: 'M. Bevermeier, S. Peschke, R. Haeb-Umbach, in: IEEE 69th Vehicular Technology
Conference (VTC 2009 Spring), 2009, pp. 1–5.'
date_created: 2019-07-12T05:27:02Z
date_updated: 2022-01-06T06:51:07Z
department:
- _id: '54'
doi: 10.1109/VETECS.2009.5073634
keyword:
- computational complexity
- expectation-maximisation algorithm
- Global Positioning System
- inertial measurement unit
- inertial navigation
- interacting multiple model
- iterative block expectation-maximization algorithm
- Kalman filters
- multi-stage Kalman filter
- parameter estimation
- road vehicles
- vehicle positioning
- vehicle tracking
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2009/BePeHa09-1.pdf
oa: '1'
page: 1-5
publication: IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)
status: public
title: Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for
Vehicle Positioning
type: conference
user_id: '44006'
year: '2009'
...
---
_id: '11725'
author:
- first_name: Maik
full_name: Bevermeier, Maik
last_name: Bevermeier
- first_name: Sven
full_name: Peschke, Sven
last_name: Peschke
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Bevermeier M, Peschke S, Haeb-Umbach R. Eine Plattform fuer Mehrwertdienste
im Bereich Logistik - Drahtlose Fahrzeug- und Laderaumueberwachung fuer LKW mit
Hilfe einer Maut-On-Board Unit. In: DGON Navigationskonvent 2009. ; 2009.'
apa: Bevermeier, M., Peschke, S., & Haeb-Umbach, R. (2009). Eine Plattform fuer
Mehrwertdienste im Bereich Logistik - Drahtlose Fahrzeug- und Laderaumueberwachung
fuer LKW mit Hilfe einer Maut-On-Board Unit. In DGON Navigationskonvent 2009.
bibtex: '@inproceedings{Bevermeier_Peschke_Haeb-Umbach_2009, title={Eine Plattform
fuer Mehrwertdienste im Bereich Logistik - Drahtlose Fahrzeug- und Laderaumueberwachung
fuer LKW mit Hilfe einer Maut-On-Board Unit}, booktitle={DGON Navigationskonvent
2009}, author={Bevermeier, Maik and Peschke, Sven and Haeb-Umbach, Reinhold},
year={2009} }'
chicago: Bevermeier, Maik, Sven Peschke, and Reinhold Haeb-Umbach. “Eine Plattform
Fuer Mehrwertdienste Im Bereich Logistik - Drahtlose Fahrzeug- Und Laderaumueberwachung
Fuer LKW Mit Hilfe Einer Maut-On-Board Unit.” In DGON Navigationskonvent 2009,
2009.
ieee: M. Bevermeier, S. Peschke, and R. Haeb-Umbach, “Eine Plattform fuer Mehrwertdienste
im Bereich Logistik - Drahtlose Fahrzeug- und Laderaumueberwachung fuer LKW mit
Hilfe einer Maut-On-Board Unit,” in DGON Navigationskonvent 2009, 2009.
mla: Bevermeier, Maik, et al. “Eine Plattform Fuer Mehrwertdienste Im Bereich Logistik
- Drahtlose Fahrzeug- Und Laderaumueberwachung Fuer LKW Mit Hilfe Einer Maut-On-Board
Unit.” DGON Navigationskonvent 2009, 2009.
short: 'M. Bevermeier, S. Peschke, R. Haeb-Umbach, in: DGON Navigationskonvent 2009,
2009.'
date_created: 2019-07-12T05:27:03Z
date_updated: 2022-01-06T06:51:07Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2009/BePeHa09-2.pdf
oa: '1'
publication: DGON Navigationskonvent 2009
status: public
title: Eine Plattform fuer Mehrwertdienste im Bereich Logistik - Drahtlose Fahrzeug-
und Laderaumueberwachung fuer LKW mit Hilfe einer Maut-On-Board Unit
type: conference
user_id: '44006'
year: '2009'
...
---
_id: '11847'
abstract:
- lang: eng
text: In this paper we present a new feature space dereverberation technique for
automatic speech recognition. We derive an expression for the dependence of the
reverberant speech features in the log-mel spectral domain on the non-reverberant
speech features and the room impulse response. The obtained observation model
is used for a model based speech enhancement based on Kalman filtering. The performance
of the proposed enhancement technique is studied on the AURORA5 database. In our
currently best configuration, which includes uncertainty decoding, the number
of recognition errors is approximately halved compared to the recognition of unprocessed
speech.
author:
- first_name: Alexander
full_name: Krueger, Alexander
last_name: Krueger
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Krueger A, Haeb-Umbach R. Model based feature enhancement for automatic speech
recognition in reverberant environments. In: Interspeech 2009. ; 2009.'
apa: Krueger, A., & Haeb-Umbach, R. (2009). Model based feature enhancement
for automatic speech recognition in reverberant environments. In Interspeech
2009.
bibtex: '@inproceedings{Krueger_Haeb-Umbach_2009, title={Model based feature enhancement
for automatic speech recognition in reverberant environments}, booktitle={Interspeech
2009}, author={Krueger, Alexander and Haeb-Umbach, Reinhold}, year={2009} }'
chicago: Krueger, Alexander, and Reinhold Haeb-Umbach. “Model Based Feature Enhancement
for Automatic Speech Recognition in Reverberant Environments.” In Interspeech
2009, 2009.
ieee: A. Krueger and R. Haeb-Umbach, “Model based feature enhancement for automatic
speech recognition in reverberant environments,” in Interspeech 2009, 2009.
mla: Krueger, Alexander, and Reinhold Haeb-Umbach. “Model Based Feature Enhancement
for Automatic Speech Recognition in Reverberant Environments.” Interspeech
2009, 2009.
short: 'A. Krueger, R. Haeb-Umbach, in: Interspeech 2009, 2009.'
date_created: 2019-07-12T05:29:24Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2009/KrHa09.pdf
oa: '1'
publication: Interspeech 2009
status: public
title: Model based feature enhancement for automatic speech recognition in reverberant
environments
type: conference
user_id: '44006'
year: '2009'
...
---
_id: '11859'
abstract:
- lang: eng
text: In this paper we present an Uncertainty Decoding rule which exploits feature
reliability information and interframe correlation for noise robust speech recognition.
The reliability information can be obtained either from conditional Bayesian estimation,
where speech and noise feature vectors are tracked jointly, or by augmenting conventional
point estimation methods with heuristics about the estimator's reliability. Experimental
results on the AURORA2 database demonstrate on the one hand that Uncertainty Decoding
improves recognition performance, while on the other hand it is seen that the
severe approximations needed to arrive at computationally tractable solutions
have their noticable impact on recognition performance.
author:
- first_name: Volker
full_name: Leutnant, Volker
last_name: Leutnant
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Leutnant V, Haeb-Umbach R. On the Estimation and Use of Feature Reliability
Information for Noise Robust Speech Recognition. In: International Conference
on Acoustics (NAG/DAGA 2009). ; 2009.'
apa: Leutnant, V., & Haeb-Umbach, R. (2009). On the Estimation and Use of Feature
Reliability Information for Noise Robust Speech Recognition. In International
Conference on Acoustics (NAG/DAGA 2009).
bibtex: '@inproceedings{Leutnant_Haeb-Umbach_2009, title={On the Estimation and
Use of Feature Reliability Information for Noise Robust Speech Recognition}, booktitle={International
Conference on Acoustics (NAG/DAGA 2009)}, author={Leutnant, Volker and Haeb-Umbach,
Reinhold}, year={2009} }'
chicago: Leutnant, Volker, and Reinhold Haeb-Umbach. “On the Estimation and Use
of Feature Reliability Information for Noise Robust Speech Recognition.” In International
Conference on Acoustics (NAG/DAGA 2009), 2009.
ieee: V. Leutnant and R. Haeb-Umbach, “On the Estimation and Use of Feature Reliability
Information for Noise Robust Speech Recognition,” in International Conference
on Acoustics (NAG/DAGA 2009), 2009.
mla: Leutnant, Volker, and Reinhold Haeb-Umbach. “On the Estimation and Use of Feature
Reliability Information for Noise Robust Speech Recognition.” International
Conference on Acoustics (NAG/DAGA 2009), 2009.
short: 'V. Leutnant, R. Haeb-Umbach, in: International Conference on Acoustics (NAG/DAGA
2009), 2009.'
date_created: 2019-07-12T05:29:38Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2009/LeHa09-1.pdf
oa: '1'
publication: International Conference on Acoustics (NAG/DAGA 2009)
status: public
title: On the Estimation and Use of Feature Reliability Information for Noise Robust
Speech Recognition
type: conference
user_id: '44006'
year: '2009'
...
---
_id: '11860'
abstract:
- lang: eng
text: In this paper we present an analytic derivation of the moments of the phase
factor between clean speech and noise cepstral or log-mel-spectral feature vectors.
The development shows, among others, that the probability density of the phase
factor is of sub-Gaussian nature and that it is independent of the noise type
and the signal-to-noise ratio, however dependent on the mel filter bank index.
Further we show how to compute the contribution of the phase factor to both the
mean and the vari- ance of the noisy speech observation likelihood, which relates
the speech and noise feature vectors to those of noisy speech. The resulting phase-sensitive
observation model is then used in model-based speech feature enhancement, leading
to significant improvements in word accuracy on the AURORA2 database.
author:
- first_name: Volker
full_name: Leutnant, Volker
last_name: Leutnant
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Leutnant V, Haeb-Umbach R. An analytic derivation of a phase-sensitive observation
model for noise robust speech recognition. In: Interspeech 2009. ; 2009.'
apa: Leutnant, V., & Haeb-Umbach, R. (2009). An analytic derivation of a phase-sensitive
observation model for noise robust speech recognition. In Interspeech 2009.
bibtex: '@inproceedings{Leutnant_Haeb-Umbach_2009, title={An analytic derivation
of a phase-sensitive observation model for noise robust speech recognition}, booktitle={Interspeech
2009}, author={Leutnant, Volker and Haeb-Umbach, Reinhold}, year={2009} }'
chicago: Leutnant, Volker, and Reinhold Haeb-Umbach. “An Analytic Derivation of
a Phase-Sensitive Observation Model for Noise Robust Speech Recognition.” In Interspeech
2009, 2009.
ieee: V. Leutnant and R. Haeb-Umbach, “An analytic derivation of a phase-sensitive
observation model for noise robust speech recognition,” in Interspeech 2009,
2009.
mla: Leutnant, Volker, and Reinhold Haeb-Umbach. “An Analytic Derivation of a Phase-Sensitive
Observation Model for Noise Robust Speech Recognition.” Interspeech 2009,
2009.
short: 'V. Leutnant, R. Haeb-Umbach, in: Interspeech 2009, 2009.'
date_created: 2019-07-12T05:29:39Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2009/LeHa09-2.pdf
oa: '1'
publication: Interspeech 2009
status: public
title: An analytic derivation of a phase-sensitive observation model for noise robust
speech recognition
type: conference
user_id: '44006'
year: '2009'
...
---
_id: '11881'
abstract:
- lang: eng
text: A combination of GPS (global positioning system) and INS (inertial navigation
system) is known to provide high precision and highly robust vehicle localization.
Notably during times when the GPS signal has a poor quality, e.g. due to the lack
of a sufficiently large number of visible satellites, the INS, which may consist
of a gyroscope and an odometer, will lead to improved positioning accuracy. In
this paper we show how velocity information obtained from GSM (global system for
mobile communications) signalling, rather than from a tachometer, can be used
together with a gyroscope sensor to support localization in the presence of temporarily
unavailable GPS data. We propose a sensor fusion system architecture and present
simulation results that show the effectiveness of this approach.
author:
- first_name: Sven
full_name: Peschke, Sven
last_name: Peschke
- first_name: Maik
full_name: Bevermeier, Maik
last_name: Bevermeier
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Peschke S, Bevermeier M, Haeb-Umbach R. A GPS positioning approach exploiting
GSM velocity estimates. In: 6th Workshop on Positioning Navigation and Communication
(WPNC 2009). ; 2009:195-202. doi:10.1109/WPNC.2009.4907827'
apa: Peschke, S., Bevermeier, M., & Haeb-Umbach, R. (2009). A GPS positioning
approach exploiting GSM velocity estimates. In 6th Workshop on Positioning
Navigation and Communication (WPNC 2009) (pp. 195–202). https://doi.org/10.1109/WPNC.2009.4907827
bibtex: '@inproceedings{Peschke_Bevermeier_Haeb-Umbach_2009, title={A GPS positioning
approach exploiting GSM velocity estimates}, DOI={10.1109/WPNC.2009.4907827},
booktitle={6th Workshop on Positioning Navigation and Communication (WPNC 2009)},
author={Peschke, Sven and Bevermeier, Maik and Haeb-Umbach, Reinhold}, year={2009},
pages={195–202} }'
chicago: Peschke, Sven, Maik Bevermeier, and Reinhold Haeb-Umbach. “A GPS Positioning
Approach Exploiting GSM Velocity Estimates.” In 6th Workshop on Positioning
Navigation and Communication (WPNC 2009), 195–202, 2009. https://doi.org/10.1109/WPNC.2009.4907827.
ieee: S. Peschke, M. Bevermeier, and R. Haeb-Umbach, “A GPS positioning approach
exploiting GSM velocity estimates,” in 6th Workshop on Positioning Navigation
and Communication (WPNC 2009), 2009, pp. 195–202.
mla: Peschke, Sven, et al. “A GPS Positioning Approach Exploiting GSM Velocity Estimates.”
6th Workshop on Positioning Navigation and Communication (WPNC 2009), 2009,
pp. 195–202, doi:10.1109/WPNC.2009.4907827.
short: 'S. Peschke, M. Bevermeier, R. Haeb-Umbach, in: 6th Workshop on Positioning
Navigation and Communication (WPNC 2009), 2009, pp. 195–202.'
date_created: 2019-07-12T05:30:04Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
doi: 10.1109/WPNC.2009.4907827
keyword:
- cellular radio
- distance measurement
- global positioning system
- Global Positioning System
- global system for mobile communications
- GPS positioning approach
- GSM velocity
- gyroscopes
- gyroscope sensor
- inertial navigation
- inertial navigation system
- odometer
- sensor fusion system architecture
- sensors
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2009/PeBeHa09-1.pdf
oa: '1'
page: 195-202
publication: 6th Workshop on Positioning Navigation and Communication (WPNC 2009)
status: public
title: A GPS positioning approach exploiting GSM velocity estimates
type: conference
user_id: '44006'
year: '2009'
...
---
_id: '11882'
author:
- first_name: Sven
full_name: Peschke, Sven
last_name: Peschke
- first_name: Maik
full_name: Bevermeier, Maik
last_name: Bevermeier
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Peschke S, Bevermeier M, Haeb-Umbach R. Verbesserung von GPS-basierter Ortung
durch GSM-Geschwindigkeitsschaetzungen. In: DGON Navigationskonvent 2009.
; 2009.'
apa: Peschke, S., Bevermeier, M., & Haeb-Umbach, R. (2009). Verbesserung von
GPS-basierter Ortung durch GSM-Geschwindigkeitsschaetzungen. In DGON Navigationskonvent
2009.
bibtex: '@inproceedings{Peschke_Bevermeier_Haeb-Umbach_2009, title={Verbesserung
von GPS-basierter Ortung durch GSM-Geschwindigkeitsschaetzungen}, booktitle={DGON
Navigationskonvent 2009}, author={Peschke, Sven and Bevermeier, Maik and Haeb-Umbach,
Reinhold}, year={2009} }'
chicago: Peschke, Sven, Maik Bevermeier, and Reinhold Haeb-Umbach. “Verbesserung
von GPS-Basierter Ortung Durch GSM-Geschwindigkeitsschaetzungen.” In DGON Navigationskonvent
2009, 2009.
ieee: S. Peschke, M. Bevermeier, and R. Haeb-Umbach, “Verbesserung von GPS-basierter
Ortung durch GSM-Geschwindigkeitsschaetzungen,” in DGON Navigationskonvent
2009, 2009.
mla: Peschke, Sven, et al. “Verbesserung von GPS-Basierter Ortung Durch GSM-Geschwindigkeitsschaetzungen.”
DGON Navigationskonvent 2009, 2009.
short: 'S. Peschke, M. Bevermeier, R. Haeb-Umbach, in: DGON Navigationskonvent 2009,
2009.'
date_created: 2019-07-12T05:30:05Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2009/PeBeHa09-2.pdf
oa: '1'
publication: DGON Navigationskonvent 2009
status: public
title: Verbesserung von GPS-basierter Ortung durch GSM-Geschwindigkeitsschaetzungen
type: conference
user_id: '44006'
year: '2009'
...
---
_id: '11937'
abstract:
- lang: eng
text: In automatic speech recognition, hidden Markov models (HMMs) are commonly
used for speech decoding, while switching linear dynamic models (SLDMs) can be
employed for a preceding model-based speech feature enhancement. In this paper,
these model types are combined in order to obtain a novel iterative speech feature
enhancement and recognition architecture. It is shown that speech feature enhancement
with SLDMs can be improved by feeding back information from the HMM to the enhancement
stage. Two different feedback structures are derived. In the first, the posteriors
of the HMM states are used to control the model probabilities of the SLDMs, while
in the second they are employed to directly influence the estimate of the speech
feature distribution. Both approaches lead to improvements in recognition accuracy
both on the AURORA2 and AURORA4 databases compared to non-iterative speech feature
enhancement with SLDMs. It is also shown that a combination with uncertainty decoding
further enhances performance.
author:
- first_name: Stefan
full_name: Windmann, Stefan
last_name: Windmann
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: Windmann S, Haeb-Umbach R. Approaches to Iterative Speech Feature Enhancement
and Recognition. IEEE Transactions on Audio, Speech, and Language Processing.
2009;17(5):974-984. doi:10.1109/TASL.2009.2014894
apa: Windmann, S., & Haeb-Umbach, R. (2009). Approaches to Iterative Speech
Feature Enhancement and Recognition. IEEE Transactions on Audio, Speech, and
Language Processing, 17(5), 974–984. https://doi.org/10.1109/TASL.2009.2014894
bibtex: '@article{Windmann_Haeb-Umbach_2009, title={Approaches to Iterative Speech
Feature Enhancement and Recognition}, volume={17}, DOI={10.1109/TASL.2009.2014894},
number={5}, journal={IEEE Transactions on Audio, Speech, and Language Processing},
author={Windmann, Stefan and Haeb-Umbach, Reinhold}, year={2009}, pages={974–984}
}'
chicago: 'Windmann, Stefan, and Reinhold Haeb-Umbach. “Approaches to Iterative Speech
Feature Enhancement and Recognition.” IEEE Transactions on Audio, Speech, and
Language Processing 17, no. 5 (2009): 974–84. https://doi.org/10.1109/TASL.2009.2014894.'
ieee: S. Windmann and R. Haeb-Umbach, “Approaches to Iterative Speech Feature Enhancement
and Recognition,” IEEE Transactions on Audio, Speech, and Language Processing,
vol. 17, no. 5, pp. 974–984, 2009.
mla: Windmann, Stefan, and Reinhold Haeb-Umbach. “Approaches to Iterative Speech
Feature Enhancement and Recognition.” IEEE Transactions on Audio, Speech, and
Language Processing, vol. 17, no. 5, 2009, pp. 974–84, doi:10.1109/TASL.2009.2014894.
short: S. Windmann, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language
Processing 17 (2009) 974–984.
date_created: 2019-07-12T05:31:08Z
date_updated: 2022-01-06T06:51:12Z
department:
- _id: '54'
doi: 10.1109/TASL.2009.2014894
intvolume: ' 17'
issue: '5'
keyword:
- AURORA2 databases
- AURORA4 databases
- automatic speech recognition
- feedback structures
- hidden Markov models
- HMM
- iterative methods
- iterative speech feature enhancement
- model probabilities
- speech decoding
- speech enhancement
- speech feature distribution
- speech recognition
- switching linear dynamic models
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2009/WiHa09-1.pdf
oa: '1'
page: 974-984
publication: IEEE Transactions on Audio, Speech, and Language Processing
status: public
title: Approaches to Iterative Speech Feature Enhancement and Recognition
type: journal_article
user_id: '44006'
volume: 17
year: '2009'
...
---
_id: '11938'
abstract:
- lang: eng
text: In this paper, parameter estimation of a state-space model of noise or noisy
speech cepstra is investigated. A blockwise EM algorithm is derived for the estimation
of the state and observation noise covariance from noise-only input data. It is
supposed to be used during the offline training mode of a speech recognizer. Further
a sequential online EM algorithm is developed to adapt the observation noise covariance
on noisy speech cepstra at its input. The estimated parameters are then used in
model-based speech feature enhancement for noise-robust automatic speech recognition.
Experiments on the AURORA4 database lead to improved recognition results with
a linear state model compared to the assumption of stationary noise.
author:
- first_name: Stefan
full_name: Windmann, Stefan
last_name: Windmann
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: Windmann S, Haeb-Umbach R. Parameter Estimation of a State-Space Model of Noise
for Robust Speech Recognition. IEEE Transactions on Audio, Speech, and Language
Processing. 2009;17(8):1577-1590. doi:10.1109/TASL.2009.2023172
apa: Windmann, S., & Haeb-Umbach, R. (2009). Parameter Estimation of a State-Space
Model of Noise for Robust Speech Recognition. IEEE Transactions on Audio, Speech,
and Language Processing, 17(8), 1577–1590. https://doi.org/10.1109/TASL.2009.2023172
bibtex: '@article{Windmann_Haeb-Umbach_2009, title={Parameter Estimation of a State-Space
Model of Noise for Robust Speech Recognition}, volume={17}, DOI={10.1109/TASL.2009.2023172},
number={8}, journal={IEEE Transactions on Audio, Speech, and Language Processing},
author={Windmann, Stefan and Haeb-Umbach, Reinhold}, year={2009}, pages={1577–1590}
}'
chicago: 'Windmann, Stefan, and Reinhold Haeb-Umbach. “Parameter Estimation of a
State-Space Model of Noise for Robust Speech Recognition.” IEEE Transactions
on Audio, Speech, and Language Processing 17, no. 8 (2009): 1577–90. https://doi.org/10.1109/TASL.2009.2023172.'
ieee: S. Windmann and R. Haeb-Umbach, “Parameter Estimation of a State-Space Model
of Noise for Robust Speech Recognition,” IEEE Transactions on Audio, Speech,
and Language Processing, vol. 17, no. 8, pp. 1577–1590, 2009.
mla: Windmann, Stefan, and Reinhold Haeb-Umbach. “Parameter Estimation of a State-Space
Model of Noise for Robust Speech Recognition.” IEEE Transactions on Audio,
Speech, and Language Processing, vol. 17, no. 8, 2009, pp. 1577–90, doi:10.1109/TASL.2009.2023172.
short: S. Windmann, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language
Processing 17 (2009) 1577–1590.
date_created: 2019-07-12T05:31:09Z
date_updated: 2022-01-06T06:51:12Z
department:
- _id: '54'
doi: 10.1109/TASL.2009.2023172
intvolume: ' 17'
issue: '8'
keyword:
- AURORA4 database
- blockwise EM algorithm
- covariance analysis
- linear state model
- noise covariance
- noise-robust automatic speech recognition
- noisy speech cepstra
- offline training mode
- parameter estimation
- speech recognition
- speech recognition equipment
- speech recognizer
- state-space methods
- state-space model
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2009/WiHa09-2.pdf
oa: '1'
page: 1577-1590
publication: IEEE Transactions on Audio, Speech, and Language Processing
status: public
title: Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition
type: journal_article
user_id: '44006'
volume: 17
year: '2009'
...
---
_id: '11900'
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Volker
full_name: Leutnant, Volker
last_name: Leutnant
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Schmalenstroeer J, Leutnant V, Haeb-Umbach R. Audio-Visual Data Processing
for Ambient Communication. In: 1st International Workshop on Distributed Computing
in Ambient Environments within 32nd Annual Conference on Artificial Intelligence.
; 2009.'
apa: Schmalenstroeer, J., Leutnant, V., & Haeb-Umbach, R. (2009). Audio-Visual
Data Processing for Ambient Communication. 1st International Workshop on Distributed
Computing in Ambient Environments within 32nd Annual Conference on Artificial
Intelligence.
bibtex: '@inproceedings{Schmalenstroeer_Leutnant_Haeb-Umbach_2009, title={Audio-Visual
Data Processing for Ambient Communication}, booktitle={1st International Workshop
on Distributed Computing in Ambient Environments within 32nd Annual Conference
on Artificial Intelligence}, author={Schmalenstroeer, Joerg and Leutnant, Volker
and Haeb-Umbach, Reinhold}, year={2009} }'
chicago: Schmalenstroeer, Joerg, Volker Leutnant, and Reinhold Haeb-Umbach. “Audio-Visual
Data Processing for Ambient Communication.” In 1st International Workshop on
Distributed Computing in Ambient Environments within 32nd Annual Conference on
Artificial Intelligence, 2009.
ieee: J. Schmalenstroeer, V. Leutnant, and R. Haeb-Umbach, “Audio-Visual Data Processing
for Ambient Communication,” 2009.
mla: Schmalenstroeer, Joerg, et al. “Audio-Visual Data Processing for Ambient Communication.”
1st International Workshop on Distributed Computing in Ambient Environments
within 32nd Annual Conference on Artificial Intelligence, 2009.
short: 'J. Schmalenstroeer, V. Leutnant, R. Haeb-Umbach, in: 1st International Workshop
on Distributed Computing in Ambient Environments within 32nd Annual Conference
on Artificial Intelligence, 2009.'
date_created: 2019-07-12T05:30:25Z
date_updated: 2023-11-15T15:03:08Z
ddc:
- '004'
department:
- _id: '54'
file:
- access_level: open_access
content_type: application/pdf
creator: schmalen
date_created: 2023-11-15T15:02:34Z
date_updated: 2023-11-15T15:02:34Z
file_id: '48934'
file_name: SchLeuHae09.pdf
file_size: 98062
relation: main_file
file_date_updated: 2023-11-15T15:02:34Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
publication: 1st International Workshop on Distributed Computing in Ambient Environments
within 32nd Annual Conference on Artificial Intelligence
quality_controlled: '1'
status: public
title: Audio-Visual Data Processing for Ambient Communication
type: conference
user_id: '460'
year: '2009'
...
---
_id: '11806'
abstract:
- lang: eng
text: Microphone arrays represent the basis for many challenging acoustic sensing
tasks. The accuracy of techniques like beamforming directly depends on a precise
knowledge of the relative positions of the sensors used. Unfortunately, for certain
use cases manually measuring the geometry of an array is not feasible due to practical
constraints. In this paper we present an approach to unsupervised shape calibration
of microphone array networks. We developed a hierarchical procedure that first
performs local shape calibration based on coherence analysis and then employs
SRP-PHAT in a network calibration method. Practical experiments demonstrate the
effectiveness of our approach especially for highly reverberant acoustic environments.
author:
- first_name: Marius
full_name: Hennecke, Marius
last_name: Hennecke
- first_name: Thomas
full_name: Ploetz, Thomas
last_name: Ploetz
- first_name: Gernot A.
full_name: Fink, Gernot A.
last_name: Fink
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Hennecke M, Ploetz T, Fink GA, Schmalenstroeer J, Haeb-Umbach R. A hierarchical
approach to unsupervised shape calibration of microphone array networks. In: IEEE/SP
15th Workshop on Statistical Signal Processing (SSP 2009). ; 2009:257-260.
doi:10.1109/SSP.2009.5278589'
apa: Hennecke, M., Ploetz, T., Fink, G. A., Schmalenstroeer, J., & Haeb-Umbach,
R. (2009). A hierarchical approach to unsupervised shape calibration of microphone
array networks. IEEE/SP 15th Workshop on Statistical Signal Processing (SSP
2009), 257–260. https://doi.org/10.1109/SSP.2009.5278589
bibtex: '@inproceedings{Hennecke_Ploetz_Fink_Schmalenstroeer_Haeb-Umbach_2009, title={A
hierarchical approach to unsupervised shape calibration of microphone array networks},
DOI={10.1109/SSP.2009.5278589},
booktitle={IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009)},
author={Hennecke, Marius and Ploetz, Thomas and Fink, Gernot A. and Schmalenstroeer,
Joerg and Haeb-Umbach, Reinhold}, year={2009}, pages={257–260} }'
chicago: Hennecke, Marius, Thomas Ploetz, Gernot A. Fink, Joerg Schmalenstroeer,
and Reinhold Haeb-Umbach. “A Hierarchical Approach to Unsupervised Shape Calibration
of Microphone Array Networks.” In IEEE/SP 15th Workshop on Statistical Signal
Processing (SSP 2009), 257–60, 2009. https://doi.org/10.1109/SSP.2009.5278589.
ieee: 'M. Hennecke, T. Ploetz, G. A. Fink, J. Schmalenstroeer, and R. Haeb-Umbach,
“A hierarchical approach to unsupervised shape calibration of microphone array
networks,” in IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009),
2009, pp. 257–260, doi: 10.1109/SSP.2009.5278589.'
mla: Hennecke, Marius, et al. “A Hierarchical Approach to Unsupervised Shape Calibration
of Microphone Array Networks.” IEEE/SP 15th Workshop on Statistical Signal
Processing (SSP 2009), 2009, pp. 257–60, doi:10.1109/SSP.2009.5278589.
short: 'M. Hennecke, T. Ploetz, G.A. Fink, J. Schmalenstroeer, R. Haeb-Umbach, in:
IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009), 2009, pp. 257–260.'
date_created: 2019-07-12T05:28:37Z
date_updated: 2023-10-26T08:09:22Z
department:
- _id: '54'
doi: 10.1109/SSP.2009.5278589
keyword:
- acoustic sensing tasks
- array geometry
- calibration
- coherence analysis
- hierarchical procedure
- local shape calibration
- microphone array networks
- microphone arrays
- network calibration method
- sensor arrays
- SRP-PHAT
- unsupervised shape calibration
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2009/HePlFiScHa09.pdf
oa: '1'
page: 257-260
publication: IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009)
quality_controlled: '1'
status: public
title: A hierarchical approach to unsupervised shape calibration of microphone array
networks
type: conference
user_id: '460'
year: '2009'
...
---
_id: '11899'
abstract:
- lang: eng
text: In this paper we present a system for identifying and localizingspeakers using
distant microphone arrays and a steerablepan-tilt-zoom camera. Audio and video
streams are processedin real-time to obtain the diarization information {grqq}who
speakswhen and where'' with low latency to be used in advanced videoconferencing
systems or user-adaptive interfaces. A key featureof the proposed system is to
first glean information about thespeaker{\rq}s location and identity from the
audio and visual datastreams separately and then to fuse these data in a probabilisticframework
employing the Viterbi algorithm. Here, visual evidenceof a person is utilized
through a priori state probabilities,while location and speaker change information
are employedvia time-variant transition probablities. Experiments show thatvideo
information yields a substantial improvement comparedto pure audio-based diarization.
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Martin
full_name: Kelling, Martin
last_name: Kelling
- first_name: Volker
full_name: Leutnant, Volker
last_name: Leutnant
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Schmalenstroeer J, Kelling M, Leutnant V, Haeb-Umbach R. Fusing Audio and
Video Information for Online Speaker Diarization. In: Interspeech 2009.
; 2009.'
apa: Schmalenstroeer, J., Kelling, M., Leutnant, V., & Haeb-Umbach, R. (2009).
Fusing Audio and Video Information for Online Speaker Diarization. Interspeech
2009.
bibtex: '@inproceedings{Schmalenstroeer_Kelling_Leutnant_Haeb-Umbach_2009, title={Fusing
Audio and Video Information for Online Speaker Diarization}, booktitle={Interspeech
2009}, author={Schmalenstroeer, Joerg and Kelling, Martin and Leutnant, Volker
and Haeb-Umbach, Reinhold}, year={2009} }'
chicago: Schmalenstroeer, Joerg, Martin Kelling, Volker Leutnant, and Reinhold Haeb-Umbach.
“Fusing Audio and Video Information for Online Speaker Diarization.” In Interspeech
2009, 2009.
ieee: J. Schmalenstroeer, M. Kelling, V. Leutnant, and R. Haeb-Umbach, “Fusing Audio
and Video Information for Online Speaker Diarization,” 2009.
mla: Schmalenstroeer, Joerg, et al. “Fusing Audio and Video Information for Online
Speaker Diarization.” Interspeech 2009, 2009.
short: 'J. Schmalenstroeer, M. Kelling, V. Leutnant, R. Haeb-Umbach, in: Interspeech
2009, 2009.'
date_created: 2019-07-12T05:30:24Z
date_updated: 2023-10-26T08:10:10Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2009/ScKeLeHa09.pdf
oa: '1'
publication: Interspeech 2009
quality_controlled: '1'
status: public
title: Fusing Audio and Video Information for Online Speaker Diarization
type: conference
user_id: '460'
year: '2009'
...
---
_id: '11776'
abstract:
- lang: eng
text: 'The term uncertainty decoding has been phrased for a class of robustness
enhancing algorithms in automatic speech recognition that replace point estimates
and plug-in rules by posterior densities and optimal decision rules. While uncertainty
can be incorporated in the model domain, in the feature domain, or even in both,
we concentrate here on feature domain approaches as they tend to be computationally
less demanding. We derive optimal decision rules in the presence of uncertain
observations and discuss simplifications which result in computationally efficient
realizations. The usefulness of the presented statistical framework is then exemplified
for two types of realworld problems: The first is improving the robustness of
speech recognition towards incomplete or corrupted feature vectors due to a lossy
communication link between the speech capturing front end and the backend recognition
engine. And the second is the well-known and extensively studied issue of improving
the robustness of the recognizer towards environmental noise.'
author:
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: Haeb-Umbach R. Uncertainty Decoding in Automatic Speech Recognition. 2008
ITG Conference on Voice Communication (SprachKommunikation). 2008:1-7.
apa: Haeb-Umbach, R. (2008). Uncertainty Decoding in Automatic Speech Recognition.
2008 ITG Conference on Voice Communication (SprachKommunikation), 1–7.
bibtex: '@article{Haeb-Umbach_2008, title={Uncertainty Decoding in Automatic Speech
Recognition}, journal={2008 ITG Conference on Voice Communication (SprachKommunikation)},
author={Haeb-Umbach, Reinhold}, year={2008}, pages={1–7} }'
chicago: Haeb-Umbach, Reinhold. “Uncertainty Decoding in Automatic Speech Recognition.”
2008 ITG Conference on Voice Communication (SprachKommunikation), 2008,
1–7.
ieee: R. Haeb-Umbach, “Uncertainty Decoding in Automatic Speech Recognition,” 2008
ITG Conference on Voice Communication (SprachKommunikation), pp. 1–7, 2008.
mla: Haeb-Umbach, Reinhold. “Uncertainty Decoding in Automatic Speech Recognition.”
2008 ITG Conference on Voice Communication (SprachKommunikation), 2008,
pp. 1–7.
short: R. Haeb-Umbach, 2008 ITG Conference on Voice Communication (SprachKommunikation)
(2008) 1–7.
date_created: 2019-07-12T05:28:02Z
date_updated: 2022-01-06T06:51:08Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2008/Ha08.pdf
oa: '1'
page: 1-7
publication: 2008 ITG Conference on Voice Communication (SprachKommunikation)
status: public
title: Uncertainty Decoding in Automatic Speech Recognition
type: journal_article
user_id: '44006'
year: '2008'
...
---
_id: '11789'
abstract:
- lang: eng
text: In distributed and network speech recognition the actual recognition task
is not carried out on the user{\rq}s terminal but rather on a remote server in
the network. While there are good reasons for doing so, a disadvantage of this
client-server architecture is clearly that the communication medium may introduce
errors, which then impairs speech recognition accuracy. Even sophisticated channel
coding cannot completely prevent the occurrence of residual bit errors in the
case of temporarily adverse channel conditions, and in packet-oriented transmission
packets of data may arrive too late for the given real-time constraints and have
to be declared lost. The goal of error concealment is to reduce the detrimental
effect that such errors may induce on the recipient of the transmitted speech
signal by exploiting residual redundancy in the bit stream at the source coder
output. In classical speech transmission a human is the recipient, and erroneous
data are reconstructed so as to reduce the subjectively annoying effect of corrupted
bits or lost packets. Here, however, a statistical classifier is at the receiving
end, which can benefit from knowledge about the quality of the reconstruction.
In this book chapter we show how the classical Bayesian decision rule needs to
be modified to account for uncertain features, and illustrate how the required
feature posterior density can be estimated in the case of distributed speech recognition.
Some other techniques for error concealment can be related to this approach. Experimental
results are given for both a small and a medium vocabulary recognition task and
both for a channel exhibiting bit errors and a packet erasure channel.
author:
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
- first_name: Valentin
full_name: Ion, Valentin
last_name: Ion
citation:
ama: 'Haeb-Umbach R, Ion V. Error Concealement. In: Lindenberg B, Tan Z-H, eds.
Automatic Speech Recognition on Mobile Devices and over Communication Networks.
Vol Advances in Computer Vision and Pattern Recognition. Advances in Pattern Recognition.
Springer; 2008:187-210.'
apa: Haeb-Umbach, R., & Ion, V. (2008). Error Concealement. In B. Lindenberg
& Z.-H. Tan (Eds.), Automatic Speech Recognition on Mobile Devices and
over Communication Networks (Vol. Advances in Computer Vision and Pattern
Recognition, pp. 187–210). Springer.
bibtex: '@inbook{Haeb-Umbach_Ion_2008, series={Advances in Pattern Recognition},
title={Error Concealement}, volume={Advances in Computer Vision and Pattern Recognition},
booktitle={Automatic Speech Recognition on Mobile Devices and over Communication
Networks}, publisher={Springer}, author={Haeb-Umbach, Reinhold and Ion, Valentin},
editor={Lindenberg, Borge and Tan, Zheng-HuaEditors}, year={2008}, pages={187–210},
collection={Advances in Pattern Recognition} }'
chicago: Haeb-Umbach, Reinhold, and Valentin Ion. “Error Concealement.” In Automatic
Speech Recognition on Mobile Devices and over Communication Networks, edited
by Borge Lindenberg and Zheng-Hua Tan, Advances in Computer Vision and Pattern
Recognition:187–210. Advances in Pattern Recognition. Springer, 2008.
ieee: R. Haeb-Umbach and V. Ion, “Error Concealement,” in Automatic Speech Recognition
on Mobile Devices and over Communication Networks, vol. Advances in Computer
Vision and Pattern Recognition, B. Lindenberg and Z.-H. Tan, Eds. Springer, 2008,
pp. 187–210.
mla: Haeb-Umbach, Reinhold, and Valentin Ion. “Error Concealement.” Automatic
Speech Recognition on Mobile Devices and over Communication Networks, edited
by Borge Lindenberg and Zheng-Hua Tan, vol. Advances in Computer Vision and Pattern
Recognition, Springer, 2008, pp. 187–210.
short: 'R. Haeb-Umbach, V. Ion, in: B. Lindenberg, Z.-H. Tan (Eds.), Automatic Speech
Recognition on Mobile Devices and over Communication Networks, Springer, 2008,
pp. 187–210.'
date_created: 2019-07-12T05:28:17Z
date_updated: 2022-01-06T06:51:08Z
department:
- _id: '54'
editor:
- first_name: Borge
full_name: Lindenberg, Borge
last_name: Lindenberg
- first_name: Zheng-Hua
full_name: Tan, Zheng-Hua
last_name: Tan
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2008/HaIo08.pdf
oa: '1'
page: 187-210
publication: Automatic Speech Recognition on Mobile Devices and over Communication
Networks
publisher: Springer
series_title: Advances in Pattern Recognition
status: public
title: Error Concealement
type: book_chapter
user_id: '44006'
volume: Advances in Computer Vision and Pattern Recognition
year: '2008'
...
---
_id: '11820'
abstract:
- lang: eng
text: In this paper, we derive an uncertainty decoding rule for automatic speech
recognition (ASR), which accounts for both corrupted observations and inter-frame
correlation. The conditional independence assumption, prevalent in hidden Markov
model-based ASR, is relaxed to obtain a clean speech posterior that is conditioned
on the complete observed feature vector sequence. This is a more informative posterior
than one conditioned only on the current observation. The novel decoding is used
to obtain a transmission-error robust remote ASR system, where the speech capturing
unit is connected to the decoder via an error-prone communication network. We
show how the clean speech posterior can be computed for communication links being
characterized by either bit errors or packet loss. Recognition results are presented
for both distributed and network speech recognition, where in the latter case
common voice-over-IP codecs are employed.
author:
- first_name: Valentin
full_name: Ion, Valentin
last_name: Ion
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: Ion V, Haeb-Umbach R. A Novel Uncertainty Decoding Rule With Applications to
Transmission Error Robust Speech Recognition. IEEE Transactions on Audio, Speech,
and Language Processing. 2008;16(5):1047-1060. doi:10.1109/TASL.2008.925879
apa: Ion, V., & Haeb-Umbach, R. (2008). A Novel Uncertainty Decoding Rule With
Applications to Transmission Error Robust Speech Recognition. IEEE Transactions
on Audio, Speech, and Language Processing, 16(5), 1047–1060. https://doi.org/10.1109/TASL.2008.925879
bibtex: '@article{Ion_Haeb-Umbach_2008, title={A Novel Uncertainty Decoding Rule
With Applications to Transmission Error Robust Speech Recognition}, volume={16},
DOI={10.1109/TASL.2008.925879},
number={5}, journal={IEEE Transactions on Audio, Speech, and Language Processing},
author={Ion, Valentin and Haeb-Umbach, Reinhold}, year={2008}, pages={1047–1060}
}'
chicago: 'Ion, Valentin, and Reinhold Haeb-Umbach. “A Novel Uncertainty Decoding
Rule With Applications to Transmission Error Robust Speech Recognition.” IEEE
Transactions on Audio, Speech, and Language Processing 16, no. 5 (2008): 1047–60.
https://doi.org/10.1109/TASL.2008.925879.'
ieee: V. Ion and R. Haeb-Umbach, “A Novel Uncertainty Decoding Rule With Applications
to Transmission Error Robust Speech Recognition,” IEEE Transactions on Audio,
Speech, and Language Processing, vol. 16, no. 5, pp. 1047–1060, 2008.
mla: Ion, Valentin, and Reinhold Haeb-Umbach. “A Novel Uncertainty Decoding Rule
With Applications to Transmission Error Robust Speech Recognition.” IEEE Transactions
on Audio, Speech, and Language Processing, vol. 16, no. 5, 2008, pp. 1047–60,
doi:10.1109/TASL.2008.925879.
short: V. Ion, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language
Processing 16 (2008) 1047–1060.
date_created: 2019-07-12T05:28:53Z
date_updated: 2022-01-06T06:51:10Z
department:
- _id: '54'
doi: 10.1109/TASL.2008.925879
intvolume: ' 16'
issue: '5'
keyword:
- automatic speech recognition
- bit errors
- codecs
- communication links
- corrupted observations
- decoding
- distributed speech recognition
- error-prone communication network
- feature vector sequence
- hidden Markov model-based ASR
- hidden Markov models
- inter-frame correlation
- Internet telephony
- network speech recognition
- packet loss
- speech posterior
- speech recognition
- transmission error robust speech recognition
- uncertainty decoding
- voice-over-IP codecs
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2008/IoHa08-1.pdf
oa: '1'
page: 1047-1060
publication: IEEE Transactions on Audio, Speech, and Language Processing
status: public
title: A Novel Uncertainty Decoding Rule With Applications to Transmission Error Robust
Speech Recognition
type: journal_article
user_id: '44006'
volume: 16
year: '2008'
...
---
_id: '11821'
abstract:
- lang: eng
text: This paper addresses the robustness of automatic speech recognition to environmental
noise. In order to account for reliability of the clean feature estimate we employ
the feature posterior density conditioned on observed noisy features to perform
uncertainty decoding. We investigate two approaches to estimate the posterior
using a discrete feature space, first conditioning only on the current observation,
and second on the whole feature sequence of an utterance. Experiments with Aurora
2 showed that the latter provides slightly better performance, as it allows for
exploiting the temporal correlations between consecutive features.
author:
- first_name: Valentin
full_name: Ion, Valentin
last_name: Ion
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: Ion V, Haeb-Umbach R. Investigations into Uncertainty Decoding Employing a
Discrete Feature Space for Noise Robust Automatic Speech Recognition. 2008
ITG Conference on Voice Communication (SprachKommunikation). 2008:1-4.
apa: Ion, V., & Haeb-Umbach, R. (2008). Investigations into Uncertainty Decoding
Employing a Discrete Feature Space for Noise Robust Automatic Speech Recognition.
2008 ITG Conference on Voice Communication (SprachKommunikation), 1–4.
bibtex: '@article{Ion_Haeb-Umbach_2008, title={Investigations into Uncertainty Decoding
Employing a Discrete Feature Space for Noise Robust Automatic Speech Recognition},
journal={2008 ITG Conference on Voice Communication (SprachKommunikation)}, author={Ion,
Valentin and Haeb-Umbach, Reinhold}, year={2008}, pages={1–4} }'
chicago: Ion, Valentin, and Reinhold Haeb-Umbach. “Investigations into Uncertainty
Decoding Employing a Discrete Feature Space for Noise Robust Automatic Speech
Recognition.” 2008 ITG Conference on Voice Communication (SprachKommunikation),
2008, 1–4.
ieee: V. Ion and R. Haeb-Umbach, “Investigations into Uncertainty Decoding Employing
a Discrete Feature Space for Noise Robust Automatic Speech Recognition,” 2008
ITG Conference on Voice Communication (SprachKommunikation), pp. 1–4, 2008.
mla: Ion, Valentin, and Reinhold Haeb-Umbach. “Investigations into Uncertainty Decoding
Employing a Discrete Feature Space for Noise Robust Automatic Speech Recognition.”
2008 ITG Conference on Voice Communication (SprachKommunikation), 2008,
pp. 1–4.
short: V. Ion, R. Haeb-Umbach, 2008 ITG Conference on Voice Communication (SprachKommunikation)
(2008) 1–4.
date_created: 2019-07-12T05:28:54Z
date_updated: 2022-01-06T06:51:10Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2008/IoHa08-2.pdf
oa: '1'
page: 1-4
publication: 2008 ITG Conference on Voice Communication (SprachKommunikation)
status: public
title: Investigations into Uncertainty Decoding Employing a Discrete Feature Space
for Noise Robust Automatic Speech Recognition
type: journal_article
user_id: '44006'
year: '2008'
...