---
_id: '49109'
abstract:
- lang: eng
  text: "We propose a diarization system, that estimates “who spoke when” based on
    spatial information, to be used as a front-end of a meeting transcription system
    running on the signals gathered from an acoustic sensor network (ASN). Although
    the\r\nspatial distribution of the microphones is advantageous, exploiting the
    spatial diversity for diarization and signal enhancement is challenging, because
    the microphones’ positions are typically unknown, and the recorded signals are
    initially unsynchronized in general. Here, we approach these issues by first blindly
    synchronizing the signals and then estimating time differences of arrival (TDOAs).
    The TDOA information is exploited to estimate the speakers’ activity, even in
    the presence of multiple speakers being simultaneously active. This speaker activity
    information serves as a guide for a spatial mixture model, on which basis the
    individual speaker’s signals are extracted via beamforming. Finally, the extracted
    signals are forwarded to a speech recognizer. Additionally, a novel initialization
    scheme for spatial mixture models based on the TDOA estimates is proposed. Experiments
    conducted on real recordings from the LibriWASN data set have shown that our proposed
    system is advantageous compared to a system using a spatial mixture model, which
    does not make use\r\nof external diarization information."
author:
- first_name: Tobias
  full_name: Gburrek, Tobias
  id: '44006'
  last_name: Gburrek
- 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: 'Gburrek T, Schmalenstroeer J, Haeb-Umbach R. Spatial Diarization for Meeting
    Transcription with Ad-Hoc Acoustic Sensor Networks. In: <i>Proc. Asilomar Conference
    on Signals, Systems, and Computers</i>. ; 2023.'
  apa: Gburrek, T., Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2023). Spatial Diarization
    for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks. <i>Proc. Asilomar
    Conference on Signals, Systems, and Computers</i>. 57th Asilomar Conference on
    Signals, Systems, and Computers.
  bibtex: '@inproceedings{Gburrek_Schmalenstroeer_Haeb-Umbach_2023, title={Spatial
    Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks}, booktitle={Proc.
    Asilomar Conference on Signals, Systems, and Computers}, author={Gburrek, Tobias
    and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2023} }'
  chicago: Gburrek, Tobias, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Spatial
    Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks.” In
    <i>Proc. Asilomar Conference on Signals, Systems, and Computers</i>, 2023.
  ieee: T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “Spatial Diarization for
    Meeting Transcription with Ad-Hoc Acoustic Sensor Networks,” presented at the
    57th Asilomar Conference on Signals, Systems, and Computers, 2023.
  mla: Gburrek, Tobias, et al. “Spatial Diarization for Meeting Transcription with
    Ad-Hoc Acoustic Sensor Networks.” <i>Proc. Asilomar Conference on Signals, Systems,
    and Computers</i>, 2023.
  short: 'T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, in: Proc. Asilomar Conference
    on Signals, Systems, and Computers, 2023.'
conference:
  end_date: 2023-11-01
  name: 57th Asilomar Conference on Signals, Systems, and Computers
  start_date: 2023-10-31
date_created: 2023-11-22T07:52:29Z
date_updated: 2023-11-22T07:58:49Z
ddc:
- '004'
department:
- _id: '54'
file:
- access_level: open_access
  content_type: application/pdf
  creator: schmalen
  date_created: 2023-11-22T07:51:18Z
  date_updated: 2023-11-22T07:58:49Z
  file_id: '49110'
  file_name: asilomar.pdf
  file_size: 212317
  relation: main_file
file_date_updated: 2023-11-22T07:58:49Z
has_accepted_license: '1'
keyword:
- Diarization
- time difference of arrival
- ad-hoc acoustic sensor network
- meeting transcription
language:
- iso: eng
oa: '1'
publication: Proc. Asilomar Conference on Signals, Systems, and Computers
quality_controlled: '1'
status: public
title: Spatial Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks
type: conference
user_id: '460'
year: '2023'
...