---
_id: '11895'
abstract:
- lang: eng
  text: Multi-channel speech enhancement algorithms rely on a synchronous sampling
    of the microphone signals. This, however, cannot always be guaranteed, especially
    if the sensors are distributed in an environment. To avoid performance degradation
    the sampling rate offset needs to be estimated and compensated for. In this contribution
    we extend the recently proposed coherence drift based method in two important
    directions. First, the increasing phase shift in the short-time Fourier transform
    domain is estimated from the coherence drift in a Matched Filterlike fashion,
    where intermediate estimates are weighted by their instantaneous SNR. Second,
    an observed bias is removed by iterating between offset estimation and compensation
    by resampling a couple of times. The effectiveness of the proposed method is demonstrated
    by speech recognition results on the output of a beamformer with and without sampling
    rate offset compensation between the input channels. We compare MVDR and maximum-SNR
    beamformers in reverberant environments and further show that both benefit from
    a novel phase normalization, which we also propose in this contribution.
author:
- first_name: Joerg
  full_name: Schmalenstroeer, Joerg
  id: '460'
  last_name: Schmalenstroeer
- first_name: Jahn
  full_name: Heymann, Jahn
  id: '9168'
  last_name: Heymann
- first_name: Lukas
  full_name: Drude, Lukas
  id: '11213'
  last_name: Drude
- first_name: Christoph
  full_name: Boeddeker, Christoph
  id: '40767'
  last_name: Boeddeker
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Schmalenstroeer J, Heymann J, Drude L, Boeddeker C, Haeb-Umbach R. Multi-Stage
    Coherence Drift Based Sampling Rate Synchronization for Acoustic Beamforming.
    In: <i>IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)</i>.
    ; 2017.'
  apa: Schmalenstroeer, J., Heymann, J., Drude, L., Boeddeker, C., &#38; Haeb-Umbach,
    R. (2017). Multi-Stage Coherence Drift Based Sampling Rate Synchronization for
    Acoustic Beamforming. <i>IEEE 19th International Workshop on Multimedia Signal
    Processing (MMSP)</i>.
  bibtex: '@inproceedings{Schmalenstroeer_Heymann_Drude_Boeddeker_Haeb-Umbach_2017,
    title={Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic
    Beamforming}, booktitle={IEEE 19th International Workshop on Multimedia Signal
    Processing (MMSP)}, author={Schmalenstroeer, Joerg and Heymann, Jahn and Drude,
    Lukas and Boeddeker, Christoph and Haeb-Umbach, Reinhold}, year={2017} }'
  chicago: Schmalenstroeer, Joerg, Jahn Heymann, Lukas Drude, Christoph Boeddeker,
    and Reinhold Haeb-Umbach. “Multi-Stage Coherence Drift Based Sampling Rate Synchronization
    for Acoustic Beamforming.” In <i>IEEE 19th International Workshop on Multimedia
    Signal Processing (MMSP)</i>, 2017.
  ieee: J. Schmalenstroeer, J. Heymann, L. Drude, C. Boeddeker, and R. Haeb-Umbach,
    “Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic
    Beamforming,” 2017.
  mla: Schmalenstroeer, Joerg, et al. “Multi-Stage Coherence Drift Based Sampling
    Rate Synchronization for Acoustic Beamforming.” <i>IEEE 19th International Workshop
    on Multimedia Signal Processing (MMSP)</i>, 2017.
  short: 'J. Schmalenstroeer, J. Heymann, L. Drude, C. Boeddeker, R. Haeb-Umbach,
    in: IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), 2017.'
date_created: 2019-07-12T05:30:20Z
date_updated: 2023-10-26T08:12:05Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2017/MMSP_2017_SchHaeb.pdf
oa: '1'
publication: IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)
quality_controlled: '1'
related_material:
  link:
  - description: Poster
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2017/MMSP_2017_SchHaeb_poster.pdf
status: public
title: Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic
  Beamforming
type: conference
user_id: '460'
year: '2017'
...
---
_id: '11890'
abstract:
- lang: eng
  text: In this paper we study the influence of directional radio patterns of Bluetooth
    low energy (BLE) beacons on smartphone localization accuracy and beacon network
    planning. A two-dimensional model of the power emission characteristic is derived
    from measurements of the radiation pattern of BLE beacons carried out in an RF
    chamber. The Cramer-Rao lower bound (CRLB) for position estimation is then derived
    for this directional power emission model. With this lower bound on the RMS positioning
    error the coverage of different beacon network configurations can be evaluated.
    For near-optimal network planing an evolutionary optimization algorithm for finding
    the best beacon placement is presented.
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. Investigations into Bluetooth Low Energy
    Localization Precision Limits. In: <i>24th European Signal Processing Conference
    (EUSIPCO 2016)</i>. ; 2016.'
  apa: Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2016). Investigations into Bluetooth
    Low Energy Localization Precision Limits. <i>24th European Signal Processing Conference
    (EUSIPCO 2016)</i>.
  bibtex: '@inproceedings{Schmalenstroeer_Haeb-Umbach_2016, title={Investigations
    into Bluetooth Low Energy Localization Precision Limits}, booktitle={24th European
    Signal Processing Conference (EUSIPCO 2016)}, author={Schmalenstroeer, Joerg and
    Haeb-Umbach, Reinhold}, year={2016} }'
  chicago: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Investigations into
    Bluetooth Low Energy Localization Precision Limits.” In <i>24th European Signal
    Processing Conference (EUSIPCO 2016)</i>, 2016.
  ieee: J. Schmalenstroeer and R. Haeb-Umbach, “Investigations into Bluetooth Low
    Energy Localization Precision Limits,” 2016.
  mla: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Investigations into Bluetooth
    Low Energy Localization Precision Limits.” <i>24th European Signal Processing
    Conference (EUSIPCO 2016)</i>, 2016.
  short: 'J. Schmalenstroeer, R. Haeb-Umbach, in: 24th European Signal Processing
    Conference (EUSIPCO 2016), 2016.'
date_created: 2019-07-12T05:30:14Z
date_updated: 2023-10-26T08:11:52Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2016/SchHaeb16.pdf
oa: '1'
publication: 24th European Signal Processing Conference (EUSIPCO 2016)
quality_controlled: '1'
related_material:
  link:
  - description: Poster
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2016/SchHaeb16_Poster.pdf
status: public
title: Investigations into Bluetooth Low Energy Localization Precision Limits
type: conference
user_id: '460'
year: '2016'
...
---
_id: '11874'
author:
- first_name: Manh Kha
  full_name: Hoang, Manh Kha
  last_name: Hoang
- 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: 'Hoang MK, Schmalenstroeer J, Haeb-Umbach R. Aligning training models with
    smartphone properties in WiFi fingerprinting based indoor localization. In: <i>40th
    International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)</i>.
    ; 2015.'
  apa: Hoang, M. K., Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2015). Aligning training
    models with smartphone properties in WiFi fingerprinting based indoor localization.
    <i>40th International Conference on Acoustics, Speech and Signal Processing (ICASSP
    2015)</i>.
  bibtex: '@inproceedings{Hoang_Schmalenstroeer_Haeb-Umbach_2015, title={Aligning
    training models with smartphone properties in WiFi fingerprinting based indoor
    localization}, booktitle={40th International Conference on Acoustics, Speech and
    Signal Processing (ICASSP 2015)}, author={Hoang, Manh Kha and Schmalenstroeer,
    Joerg and Haeb-Umbach, Reinhold}, year={2015} }'
  chicago: Hoang, Manh Kha, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Aligning
    Training Models with Smartphone Properties in WiFi Fingerprinting Based Indoor
    Localization.” In <i>40th International Conference on Acoustics, Speech and Signal
    Processing (ICASSP 2015)</i>, 2015.
  ieee: M. K. Hoang, J. Schmalenstroeer, and R. Haeb-Umbach, “Aligning training models
    with smartphone properties in WiFi fingerprinting based indoor localization,”
    2015.
  mla: Hoang, Manh Kha, et al. “Aligning Training Models with Smartphone Properties
    in WiFi Fingerprinting Based Indoor Localization.” <i>40th International Conference
    on Acoustics, Speech and Signal Processing (ICASSP 2015)</i>, 2015.
  short: 'M.K. Hoang, J. Schmalenstroeer, R. Haeb-Umbach, in: 40th International Conference
    on Acoustics, Speech and Signal Processing (ICASSP 2015), 2015.'
date_created: 2019-07-12T05:29:55Z
date_updated: 2023-10-26T08:11:43Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2015/HoSchHa2015.pdf
oa: '1'
publication: 40th International Conference on Acoustics, Speech and Signal Processing
  (ICASSP 2015)
quality_controlled: '1'
status: public
title: Aligning training models with smartphone properties in WiFi fingerprinting
  based indoor localization
type: conference
user_id: '460'
year: '2015'
...
---
_id: '11898'
abstract:
- lang: eng
  text: Abstract In this paper we present an approach for synchronizing a wireless
    acoustic sensor network using a two-stage procedure. First the clock frequency
    and phase differences between pairs of nodes are estimated employing a two-way
    message exchange protocol. The estimates are further improved in a Kalman filter
    with a dedicated observation error model. In the second stage network-wide synchronization
    is achieved by means of a gossiping algorithm which estimates the average clock
    frequency and phase of the sensor nodes. These averages are viewed as frequency
    and phase of a virtual master clock, to which the clocks of the sensor nodes have
    to be adjusted. The amount of adjustment is computed in a specific control loop.
    While these steps are done in software, the actual sampling rate correction is
    carried out in hardware by using an adjustable frequency synthesizer. Experimental
    results obtained from hardware devices and software simulations of large scale
    networks are presented.
author:
- first_name: Joerg
  full_name: Schmalenstroeer, Joerg
  id: '460'
  last_name: Schmalenstroeer
- first_name: Patrick
  full_name: Jebramcik, Patrick
  last_name: Jebramcik
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: Schmalenstroeer J, Jebramcik P, Haeb-Umbach R. A combined hardware-software
    approach for acoustic sensor network synchronization . <i>Signal Processing</i>.
    2014;(0). doi:<a href="http://dx.doi.org/10.1016/j.sigpro.2014.06.030">http://dx.doi.org/10.1016/j.sigpro.2014.06.030</a>
  apa: Schmalenstroeer, J., Jebramcik, P., &#38; Haeb-Umbach, R. (2014). A combined
    hardware-software approach for acoustic sensor network synchronization . <i>Signal
    Processing</i>, <i>0</i>. <a href="http://dx.doi.org/10.1016/j.sigpro.2014.06.030">http://dx.doi.org/10.1016/j.sigpro.2014.06.030</a>
  bibtex: '@article{Schmalenstroeer_Jebramcik_Haeb-Umbach_2014, title={A combined
    hardware-software approach for acoustic sensor network synchronization }, DOI={<a
    href="http://dx.doi.org/10.1016/j.sigpro.2014.06.030">http://dx.doi.org/10.1016/j.sigpro.2014.06.030</a>},
    number={0}, journal={Signal Processing}, author={Schmalenstroeer, Joerg and Jebramcik,
    Patrick and Haeb-Umbach, Reinhold}, year={2014} }'
  chicago: Schmalenstroeer, Joerg, Patrick Jebramcik, and Reinhold Haeb-Umbach. “A
    Combined Hardware-Software Approach for Acoustic Sensor Network Synchronization
    .” <i>Signal Processing</i>, no. 0 (2014). <a href="http://dx.doi.org/10.1016/j.sigpro.2014.06.030">http://dx.doi.org/10.1016/j.sigpro.2014.06.030</a>.
  ieee: 'J. Schmalenstroeer, P. Jebramcik, and R. Haeb-Umbach, “A combined hardware-software
    approach for acoustic sensor network synchronization ,” <i>Signal Processing</i>,
    no. 0, p., 2014, doi: <a href="http://dx.doi.org/10.1016/j.sigpro.2014.06.030">http://dx.doi.org/10.1016/j.sigpro.2014.06.030</a>.'
  mla: Schmalenstroeer, Joerg, et al. “A Combined Hardware-Software Approach for Acoustic
    Sensor Network Synchronization .” <i>Signal Processing</i>, no. 0, 2014, p., doi:<a
    href="http://dx.doi.org/10.1016/j.sigpro.2014.06.030">http://dx.doi.org/10.1016/j.sigpro.2014.06.030</a>.
  short: J. Schmalenstroeer, P. Jebramcik, R. Haeb-Umbach, Signal Processing (2014).
date_created: 2019-07-12T05:30:23Z
date_updated: 2023-10-26T08:11:22Z
department:
- _id: '54'
doi: http://dx.doi.org/10.1016/j.sigpro.2014.06.030
issue: '0'
keyword:
- Gossip algorithm
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://www.sciencedirect.com/science/article/pii/S0165168414002990
oa: '1'
page: ' - '
publication: Signal Processing
publication_identifier:
  issn:
  - 0165-1684
quality_controlled: '1'
status: public
title: 'A combined hardware-software approach for acoustic sensor network synchronization '
type: journal_article
user_id: '460'
year: '2014'
...
---
_id: '11897'
abstract:
- lang: eng
  text: ' "In this paper we present an approach for synchronizing the sampling clocks
    of distributed microphones over a wireless network. The proposed system uses a
    two stage procedure. It first employs a two-way message exchange algorithm to
    estimate the clock phase and frequency difference between two nodes and then uses
    a gossiping algorithmto estimate a virtual master clock, to which all sensor nodes
    synchronize. Simulation results are presented for networks of different topology
    and size, showing the effectiveness of our approach." '
author:
- first_name: Joerg
  full_name: Schmalenstroeer, Joerg
  id: '460'
  last_name: Schmalenstroeer
- first_name: Patrick
  full_name: Jebramcik, Patrick
  last_name: Jebramcik
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Schmalenstroeer J, Jebramcik P, Haeb-Umbach R. A Gossiping Approach to Sampling
    Clock Synchronization in Wireless Acoustic Sensor Networks. In: <i>39th International
    Conference on Acoustics, Speech and Signal Processing (ICASSP 2014)</i>. ; 2014.'
  apa: Schmalenstroeer, J., Jebramcik, P., &#38; Haeb-Umbach, R. (2014). A Gossiping
    Approach to Sampling Clock Synchronization in Wireless Acoustic Sensor Networks.
    <i>39th International Conference on Acoustics, Speech and Signal Processing (ICASSP
    2014)</i>.
  bibtex: '@inproceedings{Schmalenstroeer_Jebramcik_Haeb-Umbach_2014, title={A Gossiping
    Approach to Sampling Clock Synchronization in Wireless Acoustic Sensor Networks},
    booktitle={39th International Conference on Acoustics, Speech and Signal Processing
    (ICASSP 2014)}, author={Schmalenstroeer, Joerg and Jebramcik, Patrick and Haeb-Umbach,
    Reinhold}, year={2014} }'
  chicago: Schmalenstroeer, Joerg, Patrick Jebramcik, and Reinhold Haeb-Umbach. “A
    Gossiping Approach to Sampling Clock Synchronization in Wireless Acoustic Sensor
    Networks.” In <i>39th International Conference on Acoustics, Speech and Signal
    Processing (ICASSP 2014)</i>, 2014.
  ieee: J. Schmalenstroeer, P. Jebramcik, and R. Haeb-Umbach, “A Gossiping Approach
    to Sampling Clock Synchronization in Wireless Acoustic Sensor Networks,” 2014.
  mla: Schmalenstroeer, Joerg, et al. “A Gossiping Approach to Sampling Clock Synchronization
    in Wireless Acoustic Sensor Networks.” <i>39th International Conference on Acoustics,
    Speech and Signal Processing (ICASSP 2014)</i>, 2014.
  short: 'J. Schmalenstroeer, P. Jebramcik, R. Haeb-Umbach, in: 39th International
    Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), 2014.'
date_created: 2019-07-12T05:30:22Z
date_updated: 2023-10-26T08:11:31Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2014/SchHae2014.pdf
oa: '1'
publication: 39th International Conference on Acoustics, Speech and Signal Processing
  (ICASSP 2014)
quality_controlled: '1'
related_material:
  link:
  - description: Poster
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2014/SchHaebICASSP2014_Poster.pdf
status: public
title: A Gossiping Approach to Sampling Clock Synchronization in Wireless Acoustic
  Sensor Networks
type: conference
user_id: '460'
year: '2014'
...
---
_id: '11903'
abstract:
- lang: eng
  text: '"Acoustic sensor network clock synchronization via time stamp exchange between
    the sensor nodes is not accurate enough for many acoustic signal processing tasks,
    such as speaker localization. To improve synchronization accuracy it has therefore
    been proposed to employ a Kalman Filter to obtain improved frequency deviation
    and phase offset estimates. The estimation requires a statistical model of the
    errors of the measurements obtained from the time stamp exchange algorithm. These
    errors are caused by random transmission delays and hardware effects and are thus
    network specific. In this contribution we develop an algorithm to estimate the
    parameters of the measurement error model alongside the Kalman filter based sampling
    clock synchronization, employing the Expectation Maximization algorithm. Simulation
    results demonstrate that the online estimation of the error model parameters leads
    only to a small degradation of the synchronization performance compared to a perfectly
    known observation error model."'
author:
- first_name: Joerg
  full_name: Schmalenstroeer, Joerg
  id: '460'
  last_name: Schmalenstroeer
- first_name: Weile
  full_name: Zhao, Weile
  last_name: Zhao
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Schmalenstroeer J, Zhao W, Haeb-Umbach R. Online Observation Error Model Estimation
    for Acoustic Sensor Network Synchronization. In: <i>11. ITG Fachtagung Sprachkommunikation
    (ITG 2014)</i>. ; 2014.'
  apa: Schmalenstroeer, J., Zhao, W., &#38; Haeb-Umbach, R. (2014). Online Observation
    Error Model Estimation for Acoustic Sensor Network Synchronization. <i>11. ITG
    Fachtagung Sprachkommunikation (ITG 2014)</i>.
  bibtex: '@inproceedings{Schmalenstroeer_Zhao_Haeb-Umbach_2014, title={Online Observation
    Error Model Estimation for Acoustic Sensor Network Synchronization}, booktitle={11.
    ITG Fachtagung Sprachkommunikation (ITG 2014)}, author={Schmalenstroeer, Joerg
    and Zhao, Weile and Haeb-Umbach, Reinhold}, year={2014} }'
  chicago: Schmalenstroeer, Joerg, Weile Zhao, and Reinhold Haeb-Umbach. “Online Observation
    Error Model Estimation for Acoustic Sensor Network Synchronization.” In <i>11.
    ITG Fachtagung Sprachkommunikation (ITG 2014)</i>, 2014.
  ieee: J. Schmalenstroeer, W. Zhao, and R. Haeb-Umbach, “Online Observation Error
    Model Estimation for Acoustic Sensor Network Synchronization,” 2014.
  mla: Schmalenstroeer, Joerg, et al. “Online Observation Error Model Estimation for
    Acoustic Sensor Network Synchronization.” <i>11. ITG Fachtagung Sprachkommunikation
    (ITG 2014)</i>, 2014.
  short: 'J. Schmalenstroeer, W. Zhao, R. Haeb-Umbach, in: 11. ITG Fachtagung Sprachkommunikation
    (ITG 2014), 2014.'
date_created: 2019-07-12T05:30:29Z
date_updated: 2023-10-26T08:14:00Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2014/SchHaebITG2014.pdf
oa: '1'
publication: 11. ITG Fachtagung Sprachkommunikation (ITG 2014)
quality_controlled: '1'
related_material:
  link:
  - description: Poster
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2014/SchHaebITG2014_Poster.pdf
  - description: Demo
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2014/SchHaebITG2014_Demo.pdf
status: public
title: Online Observation Error Model Estimation for Acoustic Sensor Network Synchronization
type: conference
user_id: '460'
year: '2014'
...
---
_id: '11926'
abstract:
- lang: eng
  text: In this paper we present a novel initialization method for unsupervised learning
    of acoustic patterns in recordings of continuous speech. The pattern discovery
    task is solved by dynamic time warping whose performance we improve by a smart
    starting point selection. This enables a more accurate discovery of patterns compared
    to conventional approaches. After graph-based clustering the patterns are employed
    for training hidden Markov models for an unsupervised speech acquisition. By iterating
    between model training and decoding in an EM-like framework the word accuracy
    is continuously improved. On the TIDIGITS corpus we achieve a word error rate
    of about 13 percent by the proposed unsupervised pattern discovery approach, which
    neither assumes knowledge of the acoustic units nor of the labels of the training
    data.
author:
- first_name: Oliver
  full_name: Walter, Oliver
  last_name: Walter
- 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: Walter O, Schmalenstroeer J, Haeb-Umbach R. <i>A Novel Initialization Method
    for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01)</i>.;
    2013.
  apa: Walter, O., Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2013). <i>A Novel Initialization
    Method for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01)</i>.
  bibtex: '@book{Walter_Schmalenstroeer_Haeb-Umbach_2013, title={A Novel Initialization
    Method for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01)},
    author={Walter, Oliver and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold},
    year={2013} }'
  chicago: Walter, Oliver, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. <i>A Novel
    Initialization Method for Unsupervised Learning of Acoustic Patterns in Speech
    (FGNT-2013-01)</i>, 2013.
  ieee: O. Walter, J. Schmalenstroeer, and R. Haeb-Umbach, <i>A Novel Initialization
    Method for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01)</i>.
    2013.
  mla: Walter, Oliver, et al. <i>A Novel Initialization Method for Unsupervised Learning
    of Acoustic Patterns in Speech (FGNT-2013-01)</i>. 2013.
  short: O. Walter, J. Schmalenstroeer, R. Haeb-Umbach, A Novel Initialization Method
    for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01), 2013.
date_created: 2019-07-12T05:30:55Z
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/2013/WaScHa2013.pdf
oa: '1'
status: public
title: A Novel Initialization Method for Unsupervised Learning of Acoustic Patterns
  in Speech (FGNT-2013-01)
type: report
user_id: '44006'
year: '2013'
...
---
_id: '11832'
abstract:
- lang: eng
  text: In this paper we propose an approach to retrieve the absolute geometry of
    an acoustic sensor network, consisting of spatially distributed microphone arrays,
    from reverberant speech input. The calibration relies on direction of arrival
    measurements of the individual arrays. The proposed calibration algorithm is derived
    from a maximum-likelihood approach employing circular statistics. Since a sensor
    node consists of a microphone array with known intra-array geometry, we are able
    to obtain an absolute geometry estimate, including angles and distances. Simulation
    results demonstrate the effectiveness of the approach.
author:
- first_name: Florian
  full_name: Jacob, Florian
  last_name: Jacob
- 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: 'Jacob F, Schmalenstroeer J, Haeb-Umbach R. DoA-Based Microphone Array Position
    Self-Calibration Using Circular Statistic. In: <i>38th International Conference
    on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>. ; 2013:116-120.
    doi:<a href="https://doi.org/10.1109/ICASSP.2013.6637620">10.1109/ICASSP.2013.6637620</a>'
  apa: Jacob, F., Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2013). DoA-Based Microphone
    Array Position Self-Calibration Using Circular Statistic. <i>38th International
    Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>, 116–120.
    <a href="https://doi.org/10.1109/ICASSP.2013.6637620">https://doi.org/10.1109/ICASSP.2013.6637620</a>
  bibtex: '@inproceedings{Jacob_Schmalenstroeer_Haeb-Umbach_2013, title={DoA-Based
    Microphone Array Position Self-Calibration Using Circular Statistic}, DOI={<a
    href="https://doi.org/10.1109/ICASSP.2013.6637620">10.1109/ICASSP.2013.6637620</a>},
    booktitle={38th International Conference on Acoustics, Speech, and Signal Processing
    (ICASSP 2013)}, author={Jacob, Florian and Schmalenstroeer, Joerg and Haeb-Umbach,
    Reinhold}, year={2013}, pages={116–120} }'
  chicago: Jacob, Florian, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “DoA-Based
    Microphone Array Position Self-Calibration Using Circular Statistic.” In <i>38th
    International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>,
    116–20, 2013. <a href="https://doi.org/10.1109/ICASSP.2013.6637620">https://doi.org/10.1109/ICASSP.2013.6637620</a>.
  ieee: 'F. Jacob, J. Schmalenstroeer, and R. Haeb-Umbach, “DoA-Based Microphone Array
    Position Self-Calibration Using Circular Statistic,” in <i>38th International
    Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>, 2013,
    pp. 116–120, doi: <a href="https://doi.org/10.1109/ICASSP.2013.6637620">10.1109/ICASSP.2013.6637620</a>.'
  mla: Jacob, Florian, et al. “DoA-Based Microphone Array Position Self-Calibration
    Using Circular Statistic.” <i>38th International Conference on Acoustics, Speech,
    and Signal Processing (ICASSP 2013)</i>, 2013, pp. 116–20, doi:<a href="https://doi.org/10.1109/ICASSP.2013.6637620">10.1109/ICASSP.2013.6637620</a>.
  short: 'F. Jacob, J. Schmalenstroeer, R. Haeb-Umbach, in: 38th International Conference
    on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013, pp. 116–120.'
date_created: 2019-07-12T05:29:07Z
date_updated: 2023-10-26T08:11:12Z
department:
- _id: '54'
doi: 10.1109/ICASSP.2013.6637620
keyword:
- Geometry calibration
- microphone arrays
- position self-calibration
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2013/JacSchHae_ICASSP2013_Rev2.pdf
oa: '1'
page: 116-120
publication: 38th International Conference on Acoustics, Speech, and Signal Processing
  (ICASSP 2013)
publication_identifier:
  issn:
  - 1520-6149
quality_controlled: '1'
related_material:
  link:
  - description: Presentation
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2013/JaScHa13_Presentation.pdf
status: public
title: DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic
type: conference
user_id: '460'
year: '2013'
...
---
_id: '11891'
abstract:
- lang: eng
  text: In this paper we present a combined hardware/software approach for synchronizing
    the sampling clocks of an acoustic sensor network. A first clock frequency offset
    estimate is obtained by a time stamp exchange protocol with a low data rate and
    computational requirements. The estimate is then postprocessed by a Kalman filter
    which exploits the specific properties of the statistics of the frequency offset
    estimation error. In long term experiments the deviation between the sampling
    oscillators of two sensor nodes never exceeded half a sample with a wired and
    with a wireless link between the nodes. The achieved precision enables the estimation
    of time difference of arrival values across different hardware devices without
    sharing a common sampling hardware.
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. Sampling Rate Synchronisation in Acoustic
    Sensor Networks with a Pre-Trained Clock Skew Error Model. In: <i>21th European
    Signal Processing Conference (EUSIPCO 2013)</i>. ; 2013.'
  apa: Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2013). Sampling Rate Synchronisation
    in Acoustic Sensor Networks with a Pre-Trained Clock Skew Error Model. <i>21th
    European Signal Processing Conference (EUSIPCO 2013)</i>.
  bibtex: '@inproceedings{Schmalenstroeer_Haeb-Umbach_2013, title={Sampling Rate Synchronisation
    in Acoustic Sensor Networks with a Pre-Trained Clock Skew Error Model}, booktitle={21th
    European Signal Processing Conference (EUSIPCO 2013)}, author={Schmalenstroeer,
    Joerg and Haeb-Umbach, Reinhold}, year={2013} }'
  chicago: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Sampling Rate Synchronisation
    in Acoustic Sensor Networks with a Pre-Trained Clock Skew Error Model.” In <i>21th
    European Signal Processing Conference (EUSIPCO 2013)</i>, 2013.
  ieee: J. Schmalenstroeer and R. Haeb-Umbach, “Sampling Rate Synchronisation in Acoustic
    Sensor Networks with a Pre-Trained Clock Skew Error Model,” 2013.
  mla: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Sampling Rate Synchronisation
    in Acoustic Sensor Networks with a Pre-Trained Clock Skew Error Model.” <i>21th
    European Signal Processing Conference (EUSIPCO 2013)</i>, 2013.
  short: 'J. Schmalenstroeer, R. Haeb-Umbach, in: 21th European Signal Processing
    Conference (EUSIPCO 2013), 2013.'
date_created: 2019-07-12T05:30:15Z
date_updated: 2023-10-26T08:11:01Z
department:
- _id: '54'
keyword:
- synchronization
- acoustic sensor network
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2013/SchHaeb2013.pdf
oa: '1'
publication: 21th European Signal Processing Conference (EUSIPCO 2013)
quality_controlled: '1'
related_material:
  link:
  - description: Presentation
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2013/SchHaeb2013_Presentation.pdf
status: public
title: Sampling Rate Synchronisation in Acoustic Sensor Networks with a Pre-Trained
  Clock Skew Error Model
type: conference
user_id: '460'
year: '2013'
...
---
_id: '11818'
abstract:
- lang: eng
  text: In this paper we present a system for indoor navigation based on received
    signal strength index information of Wireless-LAN access points and relative position
    estimates. The relative position information is gathered from inertial smartphone
    sensors using a step detection and an orientation estimate. Our map data is hosted
    on a server employing a map renderer and a SQL database. The database includes
    a complete multilevel office building, within which the user can navigate. During
    navigation, the client retrieves the position estimate from the server, together
    with the corresponding map tiles to visualize the user's position on the smartphone
    display.
author:
- first_name: Manh Kha
  full_name: Hoang, Manh Kha
  last_name: Hoang
- first_name: Sarah
  full_name: Schmitz, Sarah
  last_name: Schmitz
- first_name: Christian
  full_name: Drueke, Christian
  last_name: Drueke
- first_name: Dang Hai Tran
  full_name: Vu, Dang Hai Tran
  last_name: Vu
- 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: 'Hoang MK, Schmitz S, Drueke C, Vu DHT, Schmalenstroeer J, Haeb-Umbach R. Server
    based indoor navigation using RSSI and inertial sensor information. In: <i>Positioning
    Navigation and Communication (WPNC), 2013 10th Workshop On</i>. ; 2013:1-6. doi:<a
    href="https://doi.org/10.1109/WPNC.2013.6533263">10.1109/WPNC.2013.6533263</a>'
  apa: Hoang, M. K., Schmitz, S., Drueke, C., Vu, D. H. T., Schmalenstroeer, J., &#38;
    Haeb-Umbach, R. (2013). Server based indoor navigation using RSSI and inertial
    sensor information. <i>Positioning Navigation and Communication (WPNC), 2013 10th
    Workshop On</i>, 1–6. <a href="https://doi.org/10.1109/WPNC.2013.6533263">https://doi.org/10.1109/WPNC.2013.6533263</a>
  bibtex: '@inproceedings{Hoang_Schmitz_Drueke_Vu_Schmalenstroeer_Haeb-Umbach_2013,
    title={Server based indoor navigation using RSSI and inertial sensor information},
    DOI={<a href="https://doi.org/10.1109/WPNC.2013.6533263">10.1109/WPNC.2013.6533263</a>},
    booktitle={Positioning Navigation and Communication (WPNC), 2013 10th Workshop
    on}, author={Hoang, Manh Kha and Schmitz, Sarah and Drueke, Christian and Vu,
    Dang Hai Tran and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2013},
    pages={1–6} }'
  chicago: Hoang, Manh Kha, Sarah Schmitz, Christian Drueke, Dang Hai Tran Vu, Joerg
    Schmalenstroeer, and Reinhold Haeb-Umbach. “Server Based Indoor Navigation Using
    RSSI and Inertial Sensor Information.” In <i>Positioning Navigation and Communication
    (WPNC), 2013 10th Workshop On</i>, 1–6, 2013. <a href="https://doi.org/10.1109/WPNC.2013.6533263">https://doi.org/10.1109/WPNC.2013.6533263</a>.
  ieee: 'M. K. Hoang, S. Schmitz, C. Drueke, D. H. T. Vu, J. Schmalenstroeer, and
    R. Haeb-Umbach, “Server based indoor navigation using RSSI and inertial sensor
    information,” in <i>Positioning Navigation and Communication (WPNC), 2013 10th
    Workshop on</i>, 2013, pp. 1–6, doi: <a href="https://doi.org/10.1109/WPNC.2013.6533263">10.1109/WPNC.2013.6533263</a>.'
  mla: Hoang, Manh Kha, et al. “Server Based Indoor Navigation Using RSSI and Inertial
    Sensor Information.” <i>Positioning Navigation and Communication (WPNC), 2013
    10th Workshop On</i>, 2013, pp. 1–6, doi:<a href="https://doi.org/10.1109/WPNC.2013.6533263">10.1109/WPNC.2013.6533263</a>.
  short: 'M.K. Hoang, S. Schmitz, C. Drueke, D.H.T. Vu, J. Schmalenstroeer, R. Haeb-Umbach,
    in: Positioning Navigation and Communication (WPNC), 2013 10th Workshop On, 2013,
    pp. 1–6.'
date_created: 2019-07-12T05:28:51Z
date_updated: 2023-10-26T08:09:36Z
department:
- _id: '54'
doi: 10.1109/WPNC.2013.6533263
keyword:
- SQL
- navigation
- smart phones
- wireless LAN
- RSSI
- SQL database
- complete multilevel office building
- inertial sensor information
- inertial smartphone sensors
- map renderer
- received signal strength index information
- relative position estimates
- server based indoor navigation
- step detection
- wireless-LAN access points
- Smartphone
- fingerprint
- indoor navigation
- map tile
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2013/HoScDrTrScHa2013.pdf
oa: '1'
page: 1-6
publication: Positioning Navigation and Communication (WPNC), 2013 10th Workshop on
quality_controlled: '1'
related_material:
  link:
  - description: Poster
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2013/HoScDrTrScHa2013_Poster.pdf
status: public
title: Server based indoor navigation using RSSI and inertial sensor information
type: conference
user_id: '460'
year: '2013'
...
---
_id: '11817'
abstract:
- lang: eng
  text: In this paper we present a modified hidden Markov model (HMM) for the fusion
    of received signal strength index (RSSI) information of WiFi access points and
    relative position information which is obtained from the inertial sensors of a
    smartphone for indoor positioning. Since the states of the HMM represent the potential
    user locations, their number determines the quantization error introduced by discretizing
    the allowable user positions through the use of the HMM. To reduce this quantization
    error we introduce â??pseudoâ?? states, whose emission probability, which models
    the RSSI measurements at this location, is synthesized from those of the neighboring
    states of which a Gaussian emission probability has been estimated during the
    training phase. The experimental results demonstrate the effectiveness of this
    approach. By introducing on average two pseudo states per original HMM state the
    positioning error could be significantly reduced without increasing the training
    effort.
author:
- first_name: Manh Kha
  full_name: Hoang, Manh Kha
  last_name: Hoang
- first_name: Joerg
  full_name: Schmalenstroeer, Joerg
  id: '460'
  last_name: Schmalenstroeer
- first_name: Christian
  full_name: Drueke, Christian
  last_name: Drueke
- 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: 'Hoang MK, Schmalenstroeer J, Drueke C, Tran Vu DH, Haeb-Umbach R. A Hidden
    Markov Model for Indoor User Tracking Based on WiFi Fingerprinting and Step Detection.
    In: <i>21th European Signal Processing Conference (EUSIPCO 2013)</i>. ; 2013.'
  apa: Hoang, M. K., Schmalenstroeer, J., Drueke, C., Tran Vu, D. H., &#38; Haeb-Umbach,
    R. (2013). A Hidden Markov Model for Indoor User Tracking Based on WiFi Fingerprinting
    and Step Detection. <i>21th European Signal Processing Conference (EUSIPCO 2013)</i>.
  bibtex: '@inproceedings{Hoang_Schmalenstroeer_Drueke_Tran Vu_Haeb-Umbach_2013, title={A
    Hidden Markov Model for Indoor User Tracking Based on WiFi Fingerprinting and
    Step Detection}, booktitle={21th European Signal Processing Conference (EUSIPCO
    2013)}, author={Hoang, Manh Kha and Schmalenstroeer, Joerg and Drueke, Christian
    and Tran Vu, Dang Hai and Haeb-Umbach, Reinhold}, year={2013} }'
  chicago: Hoang, Manh Kha, Joerg Schmalenstroeer, Christian Drueke, Dang Hai Tran
    Vu, and Reinhold Haeb-Umbach. “A Hidden Markov Model for Indoor User Tracking
    Based on WiFi Fingerprinting and Step Detection.” In <i>21th European Signal Processing
    Conference (EUSIPCO 2013)</i>, 2013.
  ieee: M. K. Hoang, J. Schmalenstroeer, C. Drueke, D. H. Tran Vu, and R. Haeb-Umbach,
    “A Hidden Markov Model for Indoor User Tracking Based on WiFi Fingerprinting and
    Step Detection,” 2013.
  mla: Hoang, Manh Kha, et al. “A Hidden Markov Model for Indoor User Tracking Based
    on WiFi Fingerprinting and Step Detection.” <i>21th European Signal Processing
    Conference (EUSIPCO 2013)</i>, 2013.
  short: 'M.K. Hoang, J. Schmalenstroeer, C. Drueke, D.H. Tran Vu, R. Haeb-Umbach,
    in: 21th European Signal Processing Conference (EUSIPCO 2013), 2013.'
date_created: 2019-07-12T05:28:50Z
date_updated: 2023-10-26T08:09:45Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2013/HoScDrTrHa2013.pdf
oa: '1'
publication: 21th European Signal Processing Conference (EUSIPCO 2013)
quality_controlled: '1'
related_material:
  link:
  - description: Poster
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2013/HoScDrTrHa2013_Poster.pdf
status: public
title: A Hidden Markov Model for Indoor User Tracking Based on WiFi Fingerprinting
  and Step Detection
type: conference
user_id: '460'
year: '2013'
...
---
_id: '11833'
abstract:
- lang: eng
  text: In this paper we propose an approach to retrieve the geometry of an acoustic
    sensor network consisting of spatially distributed microphone arrays from unconstrained
    speech input. The calibration relies on Direction of Arrival (DoA) measurements
    which do not require a clock synchronization among the sensor nodes. The calibration
    problem is formulated as a cost function optimization task, which minimizes the
    squared differences between measured and predicted observations and additionally
    avoids the existence of minima that correspond to mirrored versions of the actual
    sensor orientations. Further, outlier measurements caused by reverberation are
    mitigated by a Random Sample Consensus (RANSAC) approach. The experimental results
    show a mean positioning error of at most 25 cm even in highly reverberant environments.
author:
- first_name: Florian
  full_name: Jacob, Florian
  last_name: Jacob
- 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: 'Jacob F, Schmalenstroeer J, Haeb-Umbach R. Microphone Array Position Self-Calibration
    from Reverberant Speech Input. In: <i>International Workshop on Acoustic Signal
    Enhancement (IWAENC 2012)</i>. ; 2012.'
  apa: Jacob, F., Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2012). Microphone Array
    Position Self-Calibration from Reverberant Speech Input. <i>International Workshop
    on Acoustic Signal Enhancement (IWAENC 2012)</i>.
  bibtex: '@inproceedings{Jacob_Schmalenstroeer_Haeb-Umbach_2012, title={Microphone
    Array Position Self-Calibration from Reverberant Speech Input}, booktitle={International
    Workshop on Acoustic Signal Enhancement (IWAENC 2012)}, author={Jacob, Florian
    and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2012} }'
  chicago: Jacob, Florian, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Microphone
    Array Position Self-Calibration from Reverberant Speech Input.” In <i>International
    Workshop on Acoustic Signal Enhancement (IWAENC 2012)</i>, 2012.
  ieee: F. Jacob, J. Schmalenstroeer, and R. Haeb-Umbach, “Microphone Array Position
    Self-Calibration from Reverberant Speech Input,” 2012.
  mla: Jacob, Florian, et al. “Microphone Array Position Self-Calibration from Reverberant
    Speech Input.” <i>International Workshop on Acoustic Signal Enhancement (IWAENC
    2012)</i>, 2012.
  short: 'F. Jacob, J. Schmalenstroeer, R. Haeb-Umbach, in: International Workshop
    on Acoustic Signal Enhancement (IWAENC 2012), 2012.'
date_created: 2019-07-12T05:29:08Z
date_updated: 2023-10-26T08:10:52Z
department:
- _id: '54'
keyword:
- Unsupervised
- geometry calibration
- microphone arrays
- position self-calibration
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2012/JaScHa12.pdf
oa: '1'
publication: International Workshop on Acoustic Signal Enhancement (IWAENC 2012)
quality_controlled: '1'
related_material:
  link:
  - description: Video
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2012/Microphine_Array_Position_Self-Calibration_from_Reverberant_Speech_Input.mp4
  - description: Poster
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2012/JaScHa12_Poster.pdf
  - description: Demonstrator
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2012/JaScHa12_Demonstrator.pdf
status: public
title: Microphone Array Position Self-Calibration from Reverberant Speech Input
type: conference
user_id: '460'
year: '2012'
...
---
_id: '11925'
abstract:
- lang: eng
  text: In this paper we present a system for car navigation by fusing sensor data
    on an Android smartphone. The key idea is to use both the internal sensors of
    the smartphone (e.g., gyroscope) and sensor data from the car (e.g., speed information)
    to support navigation via GPS. To this end we employ a CAN-Bus-to-Bluetooth adapter
    to establish a wireless connection between the smartphone and the CAN-Bus of the
    car. On the smartphone a strapdown algorithm and an error-state Kalman filter
    are used to fuse the different sensor data streams. The experimental results show
    that the system is able to maintain higher positioning accuracy during GPS dropouts,
    thus improving the availability and reliability, compared to GPS-only solutions.
author:
- first_name: Oliver
  full_name: Walter, Oliver
  last_name: Walter
- first_name: Joerg
  full_name: Schmalenstroeer, Joerg
  id: '460'
  last_name: Schmalenstroeer
- first_name: Andreas
  full_name: Engler, Andreas
  last_name: Engler
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Walter O, Schmalenstroeer J, Engler A, Haeb-Umbach R. Smartphone-Based Sensor
    Fusion for Improved Vehicular Navigation. In: <i>9th Workshop on Positioning Navigation
    and Communication (WPNC 2012)</i>. ; 2012.'
  apa: Walter, O., Schmalenstroeer, J., Engler, A., &#38; Haeb-Umbach, R. (2012).
    Smartphone-Based Sensor Fusion for Improved Vehicular Navigation. <i>9th Workshop
    on Positioning Navigation and Communication (WPNC 2012)</i>.
  bibtex: '@inproceedings{Walter_Schmalenstroeer_Engler_Haeb-Umbach_2012, title={Smartphone-Based
    Sensor Fusion for Improved Vehicular Navigation}, booktitle={9th Workshop on Positioning
    Navigation and Communication (WPNC 2012)}, author={Walter, Oliver and Schmalenstroeer,
    Joerg and Engler, Andreas and Haeb-Umbach, Reinhold}, year={2012} }'
  chicago: Walter, Oliver, Joerg Schmalenstroeer, Andreas Engler, and Reinhold Haeb-Umbach.
    “Smartphone-Based Sensor Fusion for Improved Vehicular Navigation.” In <i>9th
    Workshop on Positioning Navigation and Communication (WPNC 2012)</i>, 2012.
  ieee: O. Walter, J. Schmalenstroeer, A. Engler, and R. Haeb-Umbach, “Smartphone-Based
    Sensor Fusion for Improved Vehicular Navigation,” 2012.
  mla: Walter, Oliver, et al. “Smartphone-Based Sensor Fusion for Improved Vehicular
    Navigation.” <i>9th Workshop on Positioning Navigation and Communication (WPNC
    2012)</i>, 2012.
  short: 'O. Walter, J. Schmalenstroeer, A. Engler, R. Haeb-Umbach, in: 9th Workshop
    on Positioning Navigation and Communication (WPNC 2012), 2012.'
date_created: 2019-07-12T05:30:54Z
date_updated: 2023-10-26T08:13:27Z
department:
- _id: '54'
keyword:
- Smartphone
- navigation
- sensor fusion
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2012/WaScEnHa12.pdf
oa: '1'
publication: 9th Workshop on Positioning Navigation and Communication (WPNC 2012)
quality_controlled: '1'
status: public
title: Smartphone-Based Sensor Fusion for Improved Vehicular Navigation
type: conference
user_id: '460'
year: '2012'
...
---
_id: '11889'
abstract:
- lang: eng
  text: In this paper we propose to jointly consider Segmental Dynamic Time Warping
    and distance clustering for the unsupervised learning of acoustic events. As a
    result, the computational complexity increases only linearly with the dababase
    size compared to a quadratic increase in a sequential setup, where all pairwise
    SDTW distances between segments are computed prior to clustering. Further, we
    discuss options for seed value selection for clustering and show that drawing
    seeds with a probability proportional to the distance from the already drawn seeds,
    known as K-means++ clustering, results in a significantly higher probability of
    finding representatives of each of the underlying classes, compared to the commonly
    used draws from a uniform distribution. Experiments are performed on an acoustic
    event classification and an isolated digit recognition task, where on the latter
    the final word accuracy approaches that of supervised training.
author:
- first_name: Joerg
  full_name: Schmalenstroeer, Joerg
  id: '460'
  last_name: Schmalenstroeer
- first_name: Markus
  full_name: Bartek, Markus
  last_name: Bartek
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Schmalenstroeer J, Bartek M, Haeb-Umbach R. Unsupervised learning of acoustic
    events using dynamic time warping and hierarchical K-means++ clustering. In: <i>Interspeech
    2011</i>. ; 2011.'
  apa: Schmalenstroeer, J., Bartek, M., &#38; Haeb-Umbach, R. (2011). Unsupervised
    learning of acoustic events using dynamic time warping and hierarchical K-means++
    clustering. <i>Interspeech 2011</i>.
  bibtex: '@inproceedings{Schmalenstroeer_Bartek_Haeb-Umbach_2011, title={Unsupervised
    learning of acoustic events using dynamic time warping and hierarchical K-means++
    clustering}, booktitle={Interspeech 2011}, author={Schmalenstroeer, Joerg and
    Bartek, Markus and Haeb-Umbach, Reinhold}, year={2011} }'
  chicago: Schmalenstroeer, Joerg, Markus Bartek, and Reinhold Haeb-Umbach. “Unsupervised
    Learning of Acoustic Events Using Dynamic Time Warping and Hierarchical K-Means++
    Clustering.” In <i>Interspeech 2011</i>, 2011.
  ieee: J. Schmalenstroeer, M. Bartek, and R. Haeb-Umbach, “Unsupervised learning
    of acoustic events using dynamic time warping and hierarchical K-means++ clustering,”
    2011.
  mla: Schmalenstroeer, Joerg, et al. “Unsupervised Learning of Acoustic Events Using
    Dynamic Time Warping and Hierarchical K-Means++ Clustering.” <i>Interspeech 2011</i>,
    2011.
  short: 'J. Schmalenstroeer, M. Bartek, R. Haeb-Umbach, in: Interspeech 2011, 2011.'
date_created: 2019-07-12T05:30:13Z
date_updated: 2023-10-26T08:10:44Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2011/ScBaHa11-2.pdf
oa: '1'
publication: Interspeech 2011
quality_controlled: '1'
status: public
title: Unsupervised learning of acoustic events using dynamic time warping and hierarchical
  K-means++ clustering
type: conference
user_id: '460'
year: '2011'
...
---
_id: '11896'
abstract:
- lang: eng
  text: In this paper we propose a procedure for estimating the geometric configuration
    of an arbitrary acoustic sensor placement. It determines the position and the
    orientation of microphone arrays in 2D while locating a source by direction-of-arrival
    (DoA) estimation. Neither artificial calibration signals nor unnatural user activity
    are required. The problem of scale indeterminacy inherent to DoA-only observations
    is solved by adding time difference of arrival (TDOA) measurements. The geometry
    calibration method is numerically stable and delivers precise results in moderately
    reverberated rooms. Simulation results are confirmed by laboratory experiments.
author:
- first_name: Joerg
  full_name: Schmalenstroeer, Joerg
  id: '460'
  last_name: Schmalenstroeer
- first_name: Florian
  full_name: Jacob, Florian
  last_name: Jacob
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
- first_name: Marius
  full_name: Hennecke, Marius
  last_name: Hennecke
- first_name: Gernot A.
  full_name: Fink, Gernot A.
  last_name: Fink
citation:
  ama: 'Schmalenstroeer J, Jacob F, Haeb-Umbach R, Hennecke M, Fink GA. Unsupervised
    Geometry Calibration of Acoustic Sensor Networks Using Source Correspondences.
    In: <i>Interspeech 2011</i>. ; 2011.'
  apa: Schmalenstroeer, J., Jacob, F., Haeb-Umbach, R., Hennecke, M., &#38; Fink,
    G. A. (2011). Unsupervised Geometry Calibration of Acoustic Sensor Networks Using
    Source Correspondences. <i>Interspeech 2011</i>.
  bibtex: '@inproceedings{Schmalenstroeer_Jacob_Haeb-Umbach_Hennecke_Fink_2011, title={Unsupervised
    Geometry Calibration of Acoustic Sensor Networks Using Source Correspondences},
    booktitle={Interspeech 2011}, author={Schmalenstroeer, Joerg and Jacob, Florian
    and Haeb-Umbach, Reinhold and Hennecke, Marius and Fink, Gernot A.}, year={2011}
    }'
  chicago: Schmalenstroeer, Joerg, Florian Jacob, Reinhold Haeb-Umbach, Marius Hennecke,
    and Gernot A. Fink. “Unsupervised Geometry Calibration of Acoustic Sensor Networks
    Using Source Correspondences.” In <i>Interspeech 2011</i>, 2011.
  ieee: J. Schmalenstroeer, F. Jacob, R. Haeb-Umbach, M. Hennecke, and G. A. Fink,
    “Unsupervised Geometry Calibration of Acoustic Sensor Networks Using Source Correspondences,”
    2011.
  mla: Schmalenstroeer, Joerg, et al. “Unsupervised Geometry Calibration of Acoustic
    Sensor Networks Using Source Correspondences.” <i>Interspeech 2011</i>, 2011.
  short: 'J. Schmalenstroeer, F. Jacob, R. Haeb-Umbach, M. Hennecke, G.A. Fink, in:
    Interspeech 2011, 2011.'
date_created: 2019-07-12T05:30:21Z
date_updated: 2023-10-26T08:10:28Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2011/ScJaHaHeFi11.pdf
oa: '1'
publication: Interspeech 2011
quality_controlled: '1'
status: public
title: Unsupervised Geometry Calibration of Acoustic Sensor Networks Using Source
  Correspondences
type: conference
user_id: '460'
year: '2011'
...
---
_id: '9456'
abstract:
- lang: eng
  text: In this paper we present our experimental results about classifying audio
    data into broad acoustic categories. The reverberated sound samples from indoor
    recordings are grouped into four classes, namely speech, music, acoustic events
    and noise. We investigated a total of 188 acoustic features and achieved for the
    best configuration a classification accuracy better than 98\%. This was achieved
    by a 42-dimensional feature vector consisting of Mel-Frequency Cepstral Coefficients,
    an autocorrelation feature and so-called track features that measure the length
    of ''traces'' of high energy in the spectrogram. We also found a 4-feature configuration
    with a classification rate of about 90\% allowing for broad acoustic category
    classification with low computational effort.
author:
- first_name: Joerg
  full_name: Schmalenstroeer, Joerg
  id: '460'
  last_name: Schmalenstroeer
- first_name: Markus
  full_name: Bartek, Markus
  last_name: Bartek
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Schmalenstroeer J, Bartek M, Haeb-Umbach R. Investigations into Features for
    Robust Classification into Broad Acoustic Categories. In: <i>37. Deutsche Jahrestagung
    Fuer Akustik (DAGA 2011)</i>. ; 2011.'
  apa: Schmalenstroeer, J., Bartek, M., &#38; Haeb-Umbach, R. (2011). Investigations
    into Features for Robust Classification into Broad Acoustic Categories. <i>37.
    Deutsche Jahrestagung Fuer Akustik (DAGA 2011)</i>.
  bibtex: '@inproceedings{Schmalenstroeer_Bartek_Haeb-Umbach_2011, title={Investigations
    into Features for Robust Classification into Broad Acoustic Categories}, booktitle={37.
    Deutsche Jahrestagung fuer Akustik (DAGA 2011)}, author={Schmalenstroeer, Joerg
    and Bartek, Markus and Haeb-Umbach, Reinhold}, year={2011} }'
  chicago: Schmalenstroeer, Joerg, Markus Bartek, and Reinhold Haeb-Umbach. “Investigations
    into Features for Robust Classification into Broad Acoustic Categories.” In <i>37.
    Deutsche Jahrestagung Fuer Akustik (DAGA 2011)</i>, 2011.
  ieee: J. Schmalenstroeer, M. Bartek, and R. Haeb-Umbach, “Investigations into Features
    for Robust Classification into Broad Acoustic Categories,” 2011.
  mla: Schmalenstroeer, Joerg, et al. “Investigations into Features for Robust Classification
    into Broad Acoustic Categories.” <i>37. Deutsche Jahrestagung Fuer Akustik (DAGA
    2011)</i>, 2011.
  short: 'J. Schmalenstroeer, M. Bartek, R. Haeb-Umbach, in: 37. Deutsche Jahrestagung
    Fuer Akustik (DAGA 2011), 2011.'
date_created: 2019-04-25T14:36:02Z
date_updated: 2023-10-26T08:15:44Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2011/ScBaHa11-1.pdf
oa: '1'
publication: 37. Deutsche Jahrestagung fuer Akustik (DAGA 2011)
quality_controlled: '1'
status: public
title: Investigations into Features for Robust Classification into Broad Acoustic
  Categories
type: conference
user_id: '460'
year: '2011'
...
---
_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. <i>IEEE Journal of Selected Topics in Signal Processing</i>.
    2010;4(5):845-856. doi:<a href="https://doi.org/10.1109/JSTSP.2010.2050519">10.1109/JSTSP.2010.2050519</a>
  apa: Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2010). Online Diarization of Streaming
    Audio-Visual Data for Smart Environments. <i>IEEE Journal of Selected Topics in
    Signal Processing</i>, <i>4</i>(5), 845–856. <a href="https://doi.org/10.1109/JSTSP.2010.2050519">https://doi.org/10.1109/JSTSP.2010.2050519</a>
  bibtex: '@article{Schmalenstroeer_Haeb-Umbach_2010, title={Online Diarization of
    Streaming Audio-Visual Data for Smart Environments}, volume={4}, DOI={<a href="https://doi.org/10.1109/JSTSP.2010.2050519">10.1109/JSTSP.2010.2050519</a>},
    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.” <i>IEEE Journal of Selected
    Topics in Signal Processing</i> 4, no. 5 (2010): 845–56. <a href="https://doi.org/10.1109/JSTSP.2010.2050519">https://doi.org/10.1109/JSTSP.2010.2050519</a>.'
  ieee: 'J. Schmalenstroeer and R. Haeb-Umbach, “Online Diarization of Streaming Audio-Visual
    Data for Smart Environments,” <i>IEEE Journal of Selected Topics in Signal Processing</i>,
    vol. 4, no. 5, pp. 845–856, 2010, doi: <a href="https://doi.org/10.1109/JSTSP.2010.2050519">10.1109/JSTSP.2010.2050519</a>.'
  mla: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Online Diarization of Streaming
    Audio-Visual Data for Smart Environments.” <i>IEEE Journal of Selected Topics
    in Signal Processing</i>, vol. 4, no. 5, 2010, pp. 845–56, doi:<a href="https://doi.org/10.1109/JSTSP.2010.2050519">10.1109/JSTSP.2010.2050519</a>.
  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: '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: <i>1st International Workshop on Distributed Computing
    in Ambient Environments within 32nd Annual Conference on Artificial Intelligence</i>.
    ; 2009.'
  apa: Schmalenstroeer, J., Leutnant, V., &#38; Haeb-Umbach, R. (2009). Audio-Visual
    Data Processing for Ambient Communication. <i>1st International Workshop on Distributed
    Computing in Ambient Environments within 32nd Annual Conference on Artificial
    Intelligence</i>.
  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 <i>1st International Workshop on
    Distributed Computing in Ambient Environments within 32nd Annual Conference on
    Artificial Intelligence</i>, 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.”
    <i>1st International Workshop on Distributed Computing in Ambient Environments
    within 32nd Annual Conference on Artificial Intelligence</i>, 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: <i>IEEE/SP
    15th Workshop on Statistical Signal Processing (SSP 2009)</i>. ; 2009:257-260.
    doi:<a href="https://doi.org/10.1109/SSP.2009.5278589">10.1109/SSP.2009.5278589</a>'
  apa: Hennecke, M., Ploetz, T., Fink, G. A., Schmalenstroeer, J., &#38; Haeb-Umbach,
    R. (2009). A hierarchical approach to unsupervised shape calibration of microphone
    array networks. <i>IEEE/SP 15th Workshop on Statistical Signal Processing (SSP
    2009)</i>, 257–260. <a href="https://doi.org/10.1109/SSP.2009.5278589">https://doi.org/10.1109/SSP.2009.5278589</a>
  bibtex: '@inproceedings{Hennecke_Ploetz_Fink_Schmalenstroeer_Haeb-Umbach_2009, title={A
    hierarchical approach to unsupervised shape calibration of microphone array networks},
    DOI={<a href="https://doi.org/10.1109/SSP.2009.5278589">10.1109/SSP.2009.5278589</a>},
    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 <i>IEEE/SP 15th Workshop on Statistical Signal
    Processing (SSP 2009)</i>, 257–60, 2009. <a href="https://doi.org/10.1109/SSP.2009.5278589">https://doi.org/10.1109/SSP.2009.5278589</a>.
  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 <i>IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009)</i>,
    2009, pp. 257–260, doi: <a href="https://doi.org/10.1109/SSP.2009.5278589">10.1109/SSP.2009.5278589</a>.'
  mla: Hennecke, Marius, et al. “A Hierarchical Approach to Unsupervised Shape Calibration
    of Microphone Array Networks.” <i>IEEE/SP 15th Workshop on Statistical Signal
    Processing (SSP 2009)</i>, 2009, pp. 257–60, doi:<a href="https://doi.org/10.1109/SSP.2009.5278589">10.1109/SSP.2009.5278589</a>.
  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: <i>Interspeech 2009</i>.
    ; 2009.'
  apa: Schmalenstroeer, J., Kelling, M., Leutnant, V., &#38; Haeb-Umbach, R. (2009).
    Fusing Audio and Video Information for Online Speaker Diarization. <i>Interspeech
    2009</i>.
  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 <i>Interspeech
    2009</i>, 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.” <i>Interspeech 2009</i>, 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'
...