---
_id: '25281'
abstract:
- lang: eng
  text: "Wireless Acoustic Sensor Networks (WASNs) have a wide range of audio signal
    processing applications. Due to the spatial diversity of the microphone and their
    relative position to the acoustic source, not all microphones are equally useful
    for subsequent audio signal processing tasks, nor do they all have the same wireless
    data transmission rates. Hence, a central task in WASNs is to balance a microphone’s
    estimated acoustic utility against its transmission delay, selecting a best-possible
    subset of microphones to record audio signals.\r\n\r\nIn this work, we use reinforcement
    learning to decide if a microphone should be used or switched off to maximize
    the acoustic quality at low transmission delays, while minimizing switching frequency.
    In experiments with moving sources in a simulated acoustic environment, our method
    outperforms naive baseline comparisons"
author:
- first_name: Haitham
  full_name: Afifi, Haitham
  id: '65718'
  last_name: Afifi
- first_name: Michael
  full_name: Guenther, Michael
  last_name: Guenther
- first_name: Andreas
  full_name: Brendel, Andreas
  last_name: Brendel
- first_name: Holger
  full_name: Karl, Holger
  id: '126'
  last_name: Karl
- first_name: Walter
  full_name: Kellermann, Walter
  last_name: Kellermann
citation:
  ama: 'Afifi H, Guenther M, Brendel A, Karl H, Kellermann W. Reinforcement Learning-based
    Microphone Selection in Wireless Acoustic Sensor Networks considering Network
    and Acoustic Utilities. In: <i>14. ITG Conference on Speech Communication (ITG
    2021)</i>. ; 2021.'
  apa: Afifi, H., Guenther, M., Brendel, A., Karl, H., &#38; Kellermann, W. (2021).
    Reinforcement Learning-based Microphone Selection in Wireless Acoustic Sensor
    Networks considering Network and Acoustic Utilities. <i>14. ITG Conference on
    Speech Communication (ITG 2021)</i>.
  bibtex: '@inproceedings{Afifi_Guenther_Brendel_Karl_Kellermann_2021, title={Reinforcement
    Learning-based Microphone Selection in Wireless Acoustic Sensor Networks considering
    Network and Acoustic Utilities}, booktitle={14. ITG Conference on Speech Communication
    (ITG 2021)}, author={Afifi, Haitham and Guenther, Michael and Brendel, Andreas
    and Karl, Holger and Kellermann, Walter}, year={2021} }'
  chicago: Afifi, Haitham, Michael Guenther, Andreas Brendel, Holger Karl, and Walter
    Kellermann. “Reinforcement Learning-Based Microphone Selection in Wireless Acoustic
    Sensor Networks Considering Network and Acoustic Utilities.” In <i>14. ITG Conference
    on Speech Communication (ITG 2021)</i>, 2021.
  ieee: H. Afifi, M. Guenther, A. Brendel, H. Karl, and W. Kellermann, “Reinforcement
    Learning-based Microphone Selection in Wireless Acoustic Sensor Networks considering
    Network and Acoustic Utilities,” 2021.
  mla: Afifi, Haitham, et al. “Reinforcement Learning-Based Microphone Selection in
    Wireless Acoustic Sensor Networks Considering Network and Acoustic Utilities.”
    <i>14. ITG Conference on Speech Communication (ITG 2021)</i>, 2021.
  short: 'H. Afifi, M. Guenther, A. Brendel, H. Karl, W. Kellermann, in: 14. ITG Conference
    on Speech Communication (ITG 2021), 2021.'
date_created: 2021-10-04T10:59:50Z
date_updated: 2022-01-06T06:56:59Z
ddc:
- '620'
file:
- access_level: closed
  content_type: application/pdf
  creator: hafifi
  date_created: 2021-10-04T10:58:07Z
  date_updated: 2021-10-04T10:58:07Z
  file_id: '25282'
  file_name: ITG_2021_paper_26 (3).pdf
  file_size: 283616
  relation: main_file
  success: 1
file_date_updated: 2021-10-04T10:58:07Z
has_accepted_license: '1'
keyword:
- microphone utility
- microphone selection
- wireless acoustic sensor network
- network delay
- reinforcement learning
language:
- iso: eng
project:
- _id: '27'
  name: Akustische Sensornetzwerke - Teilprojekt "Verteilte akustische Signalverarbeitung
    über funkbasierte Sensornetzwerke
publication: 14. ITG Conference on Speech Communication (ITG 2021)
status: public
title: Reinforcement Learning-based Microphone Selection in Wireless Acoustic Sensor
  Networks considering Network and Acoustic Utilities
type: conference
user_id: '65718'
year: '2021'
...
